The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index; none of the 42 sources its claims cite is checked for support yet.
Understanding tailoring in communicating about health
Open accessAbstract
'Tailoring' refers to any of a number of methods for creating communications individualized for their receivers, with the expectation that this individualization will lead to larger intended effects of these communications. Results so far have been generally positive but not consistently so, and this paper seeks to explicate tailoring to help focus future research. Tailoring involves either or both of two classes of goals (enhancing cognitive preconditions for message processing and enhancing message impact through modifying behavioral determinants of goal outcomes) and employs strategies of personalization, feedback and content matching. These goals and strategies intersect in a 2 x 3 matrix in which some strategies and their component tactics match better to some goals than to others. The paper illustrates how this framework can be systematically applied in generating research questions and identifying appropriate study designs for tailoring research.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This conceptual paper argues that “tailoring” in health communication is not a unitary construct but involves two goal classes—enhancing message processing and modifying behavioral determinants—and three strategies: personalization, feedback, and content matching. It proposes a 2 × 3 goals-by-strategies matrix to guide more precise research on what aspects of tailoring work and how.
Key findings
- Tailoring is better understood as continuous degrees of audience segmentation and message customization rather than as discrete categories of mass, targeted, and tailored communication.
- The paper identifies two broad tailoring goals: enhancing cognitive preconditions for message processing/acceptance and enhancing message impact by modifying behavioral determinants of outcomes.
- It proposes three tailoring strategies—personalization, feedback, and content matching—with personalization tactics including identification, raising expectation, and contextualization; feedback types including descriptive, comparative, and evaluative; and content matching directed at key theoretical determinants.
- The paper notes that >100 tailoring studies have been published and that the National Cancer Institute alone invested ∼$130 million in tailored communication research for cancer prevention and control since 1999; it also cites a meta-analysis concluding tailored print interventions are more effective than non-tailored ones.
Methods
- Conceptual/theoretical paper, described as a “white paper” from an NCI Centers of Excellence in Cancer Communication Research working group; it is not a systematic review or primary empirical study.
- The authors synthesize existing tailoring research and theory, cite illustrative studies, and propose a framework linking tailoring goals, strategies, and tactics.
- They recommend future designs including presence-versus-absence/dismantling designs, parametric or “dosing” designs, constructive designs, and designs comparing degrees of segmentation and customization.
Limitations
- The authors state that a thorough review of tailoring research is not their purpose and that some parts of the framework have been taken for granted by researchers or represent suggestions and speculations by the authors.
- They state that no research has tested the proposed effects and mechanisms of tailored feedback, nor compared effects of different types or combinations of feedback in tailored health communication programs.
- They also state that research on dose as the number of tailored communications received has been limited and inconclusive; the text makes evident that the proposed 2 × 3 matrix is not empirically validated in this paper.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Verification
Claims the paper makes
32 Own interpretation · 27 Not checked yet · 8 No basis given · 1 Own result
In the paper
“The reference group used in comparative feedback can itself be tailored.”
What the sources say
- Not checked yetcites [39] Kreuter MW, Steger-May K, Bobra S, et al. Sociocultural characteristics and responses to cancer education materials among African American women. Cancer Control. 2003;10(Suppl.):69–80. doi: 10.1177/107327480301005s10. [DOI] [PubMed] [Google Scholar]
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most studies of tailored content matching (or of other methods of tailoring) compared the experimental group with a group that received a general audience or group-targeted communication.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Because segmentation and customization rely on information about individuals and are arguably most effective when this information is detailed and relevant to targeted behaviors, individual-based assessments are often integral to tailored interventions.”
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“early studies showed that tailored messages were more likely than non-tailored messages to be read and remembered [14, 15].”
What the sources say
- Not checked yetcites [14] Skinner C, Strecher V, Hospers H. Physicians' recommendations for mammography: do tailored messages make a difference? Am J Public Health. 1994;84:43–9. doi: 10.2105/ajph.84.1.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Not checked yetcites [15] Campbell M, DeVellis B, Strecher VJ, et al. Improving dietary behavior: the effectiveness of tailored messages in primary care settings. Am J Public Health. 1994;84:783–7. doi: 10.2105/ajph.84.5.783. [DOI] [PMC free article] [PubMed] [Google Scholar]
plaincorrelational- Asserted: passes — The authors put it forward as true.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Seen in this light, the three traditional types are not discrete categories, but overlapping segments of the continua.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: unclear — It is unclear whether it could be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Effortful processing is more likely to include counterarguing, evaluations of credibility, and other processes that may lessen message effects.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“In a study of weight loss materials, those receiving tailored messages generated significantly more ‘personal connections’ to the materials—defined as any thought or idea linking the weight loss information to the recipient's personal situation or experience—than did those receiving non-tailored materials [19].”
What the sources say
- Not checked yetcites [19] Kreuter MW, Bull F, Clark EM, et al. Understanding how people process health information: a comparison of tailored and untailored weight loss materials. Health Psychol. 1999;18:487–94. doi: 10.1037//0278-6133.18.5.487. [DOI] [PubMed] [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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None of the sources cited for this claim have been checked yet.
In the paper
“Central processing typically also leads to deeper and more persistent persuasion than does peripheral processing [16, 17].”
What the sources say
- Not checked yetcites [16] Pettey R, Priester J, Brinol P. Mass media attitude change: implications of the elaboration likelihood model of persuasion. In: Bryant J, Zillmann D, editors. Media effects. Mahwah, NJ: Lawrence Erlbaum Associates; 2002. pp. 155–98. [Google Scholar]
- Not checked yetcites [17] Chaiken S, Trope Y. Dual-Process Theories in Social Psychology. New York: Guilford Press; 1999. [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“a meta-analysis of tailoring studies makes it clear that employing theoretical constructs enhances effects [9].”
What the sources say
- Not checked yetcites [9] Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133:673–93. doi: 10.1037/0033-2909.133.4.673. [DOI] [PubMed] [Google Scholar]
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“A related idea is that tailoring, perhaps again by enhancing perceived relevance and thus personal involvement [4], elicits what the elaboration likelihood model (ELM) refers to as ‘central route’ processing or elaboration [16, 17]: careful consideration of persuasive arguments and more systematic utilization of the receiver's own schemas and memories [18].”
What the sources say
- Not checked yetcites [4] Skinner CM, Campbell MK, Rimer BJ, et al. How effective is tailored print communication? Ann Behav Med. 1999;21:290–8. doi: 10.1007/BF02895960. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [16] Pettey R, Priester J, Brinol P. Mass media attitude change: implications of the elaboration likelihood model of persuasion. In: Bryant J, Zillmann D, editors. Media effects. Mahwah, NJ: Lawrence Erlbaum Associates; 2002. pp. 155–98. [Google Scholar]
- Not checked yetcites [17] Chaiken S, Trope Y. Dual-Process Theories in Social Psychology. New York: Guilford Press; 1999. [Google Scholar]
- Not checked yetcites [18] Kreuter MW, Holt C. How do people process health information? Applications in an age of individualized communication. Curr Dir Psychol Sci. 2001;10:206–9. [Google Scholar]
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Probably not a substantial claim. 31
- It may state two separate claims as one. 23
In the paper
“Some tailoring studies have used such designs [19].”
What the sources say
- Not checked yetcites [19] Kreuter MW, Bull F, Clark EM, et al. Understanding how people process health information: a comparison of tailored and untailored weight loss materials. Health Psychol. 1999;18:487–94. doi: 10.1037//0278-6133.18.5.487. [DOI] [PubMed] [Google Scholar]
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“We know of no research testing these proposed effects and mechanisms of effect of tailored feedback, nor of research comparing effects of different types or combinations of feedback in tailored health communication programs.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“As noted at the outset of this section, the three tailoring strategies are frequently used in combination with each other and can even occur within a single message.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Some such research already exists, labeled as comparing undifferentiated versus ‘targeted’ or ‘targeted’ versus ‘tailored’ messages.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Although differences between the three feedback tactics are subtle in practice, it seems possible that some might be more effective for certain individuals under certain circumstances.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
In the paper
“Another comparative feedback tactic gathers data from the same individuals over time and messages report on progress over time (i.e. self-comparison) [40].”
What the sources say
- Not checked yetcites [40] Velicer W, Prochaska J, Fava JL, et al. Interactive versus noninteractive interventions and dose-response relationships for stage-matched smoking cessation programs in a managed care setting. Health Psychol. 1999;18:21–8. doi: 10.1037//0278-6133.18.1.21. [DOI] [PubMed] [Google Scholar]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Research on this dimension of dose has been limited and inconclusive [40].”
What the sources say
- Not checked yetcites [40] Velicer W, Prochaska J, Fava JL, et al. Interactive versus noninteractive interventions and dose-response relationships for stage-matched smoking cessation programs in a managed care setting. Health Psychol. 1999;18:21–8. doi: 10.1037//0278-6133.18.1.21. [DOI] [PubMed] [Google Scholar]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Tailored evaluative feedback varies in the depth of inference made.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Tailoring involves either or both of two classes of goals (enhancing cognitive preconditions for message processing and enhancing message impact through modifying behavioral determinants of goal outcomes) and employs strategies of personalization, feedback and content matching.”
- Also stated in: § Introduction · plain
“Claims about why and how tailoring enhances health communication fall into two distinct classes of mechanisms: (i) that tailoring enhances cognitive preconditions for message processing or acceptance and (ii) that it enhances message impact by selectively modifying initial behavioral determinants of desired outcomes.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
- Also stated in: § Introduction · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These goals and strategies intersect in a 2 × 3 matrix in which some strategies and their component tactics match better to some goals than to others.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Using information about particular individuals (tailoring in categorical terms) may customize to a yet more specific segment but is not a qualitatively different strategy.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“There is a growing consensus that these three constructs serve as the principal determinants of intention to perform a given behavior and that each is itself based on a set of underlying beliefs [9, 25, 26].”
What the sources say
- Not checked yetcites [9] Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133:673–93. doi: 10.1037/0033-2909.133.4.673. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [25] Fishbein M, Triandis HC, Kanfer FH, et al. Factors influencing behavior and behavior change. In: Baum A, Revenson TR, Singer JE, editors. Handbook of Health Psychology. Mahwah, NJ: Lawrence Erlbaum Associates; 2001. pp. 3–17. [Google Scholar]
- Not checked yetcites [26] Speaking of Health: Assessing Health Communication Strategies for Diverse Populations. Washington, DC: National Academy Press; 2002. IOM Committee on Communication for Behavior Change in the 21st Century Improving the Health of Diverse Populations. [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Results so far have been generally positive but not consistently so, and this paper seeks to explicate tailoring to help focus future research.”
- Also stated in: § Introduction · plain
“typically showing tailoring to be more effective than undifferentiated messages, though some studies have found no differences [4–8].”
What the sources say
- Not checked yetcites [4] Skinner CM, Campbell MK, Rimer BJ, et al. How effective is tailored print communication? Ann Behav Med. 1999;21:290–8. doi: 10.1007/BF02895960. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [5] Strecher V. Computer-tailored smoking cessation materials: a review and discussion. Patient Educ Couns. 1999;36:107–17. doi: 10.1016/s0738-3991(98)00128-1. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [6] Brug J. Dutch research into development and impact of computer-tailored nutrition education. Eur J Clin Nutr. 1999;53:S78–82. doi: 10.1038/sj.ejcn.1600808. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [7] Lancaster T, Stead L, Silagy C. Effectiveness of interventions to help people stop smoking: findings from the Cochrane Library. Br Med J. 2000;321:355–8. doi: 10.1136/bmj.321.7257.355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Not checked yetcites [8] Ryan P, Lauver D. The efficacy of tailored interventions. J Nurs Scholarsh. 2002;34:331–7. doi: 10.1111/j.1547-5069.2002.00331.x. [DOI] [PubMed] [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Also stated in: § Introduction · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and employs strategies of personalization, feedback and content matching.”
- Also stated in: § Introduction · plain
“We propose that ‘personalization’, ‘feedback’ and ‘content matching’ are three distinct strategies through which the above tailoring goals can be achieved.”
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
- Also stated in: § Introduction · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“But as one reads and thinks more about such tailoring, it becomes apparent that tailoring has encompassed a diverse set of both message construction methods and the psychological and social processes (generally assumed) by which enhanced communication effects are brought about.”
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
In the paper
“Since positive emotions tend to reduce effortful processing and negative emotions enhance it, emotion arousal could elicit varying cognitive processing [22].”
What the sources say
- Not checked yetcites [22] Forgas JP. Affect in social judgments and decisions: a multiprocess model. Adv Exp Psychol. 1992;25:227–75. [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“it obscures the more useful idea that individualizing health communication involves two linked processes, segmentation and customization, each of which varies continuously (Fig. 1).”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“A recent meta-analysis of tailoring studies utilizing print messages also concluded that tailored interventions are more effective than non-tailored ones and further explored a useful range of moderators of these effects [9].”
What the sources say
- Not checked yetcites [9] Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133:673–93. doi: 10.1037/0033-2909.133.4.673. [DOI] [PubMed] [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“(ii) the evaluation contains content information in that it gives a meaning to the factual psychological or behavioral state, thereby changing relevant beliefs,”
plaindirect- Asserted: fails — The authors may not put it forward as true.
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Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Feedback and content matching strategies are intended primarily to stimulate particular intermediate impacts, but they may also affect processing.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
- Rests on an assumption: The more one knows about what influences performance of a given behavior, the more likely one can design an intervention to change or reinforce that behavior.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and (iii) and the whole feedback text may increase the sense of ‘being acknowledged’.”
hedgedconditional- Asserted: fails — The authors may not put it forward as true.
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Probably not a substantial claim. The authors may not put it forward as true. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“One reason may be that the receiver could perceive the tailoring agent to be highly insightful and skilled (i.e. credible) and perceives more presence [37] from the communication, just as deeper level reflections build rapport and encourage change in psychological counseling [41, 42].”
What the sources say
- Not checked yetcites [37] Lee KM. Presence, explicated. Commun Theory. 2004;14:27–50. [Google Scholar]
- Not checked yetcites [41] Carkhauff RR, Cannon J, Pierce R, et al. The Skills of Helping: An Introduction to Counseling Skills. Amherst, MA: Human Resource Development Press; 1979. [Google Scholar]
- Not checked yetcites [42] Miller WR, Rollnick S. Motivational Interviewing: Preparing People for Change. 2nd. New York: Guilford Press; 2002. [Google Scholar]
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In effect, such designs test whether some example of segmentation/customization (tailoring) is more effective than little or no segmentation and customization.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such inferences, if correct, can yield new insights into a person's behavioral or psychological states, and we hypothesize that messages based on these inferences may be especially potent in changing beliefs.”
hedgedconditional- Asserted: fails — The authors may not put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The authors may not put it forward as true. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“It may also produce non-specific effects such as ‘feeling acknowledged’, ‘feeling understood’ or creating a sense of presence [37, 38], which could build rapport and favorably influence interpretation of the tailoring agent's motives or lower resistance to persuasion.”
What the sources say
- Not checked yetcites [37] Lee KM. Presence, explicated. Commun Theory. 2004;14:27–50. [Google Scholar]
- Not checked yetcites [38] Walther JB, Pingree S, Hawkins RP, et al. Attributes of online interactive health information systems. J Med Internet Res. 2005;7:e33. doi: 10.2196/jmir.7.3.e33. [DOI] [PMC free article] [PubMed] [Google Scholar]
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Comparative feedback may be especially effective among individuals for whom normative beliefs are important determinants of a given behavior.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Tailoring on contextual variables alone may not be sufficient to bring about changes in behavior but might enhance the effects of other tailoring strategies on impact variables.”
What the sources say
- Not checked yetcites [36] Kreuter MW, Skinner C, Holt CL, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African American women in urban public health centers. Prev Med. 2005;41:53–62. doi: 10.1016/j.ypmed.2004.10.013. [DOI] [PubMed] [Google Scholar]
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Identification has increased effects in some studies [29] but had no effects in others [33].”
What the sources say
- Not checked yetcites [29] Dijkstra A. Working mechanisms of computer-tailored health education: evidence from smoking cessation. Health Educ Res. 2005;20:527–39. doi: 10.1093/her/cyh014. [DOI] [PubMed] [Google Scholar]
- Not checked yetcites [33] Bull F, Kreuter MW, Scharff DP, et al. Effects of tailored, personalized, and general materials on physical activity. Patient Educ Coun. 1999;36:181–92. doi: 10.1016/s0738-3991(98)00134-7. [DOI] [PubMed] [Google Scholar]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, personalization might lead to more positive thoughts but only when arguments are strong.”
hedgedconditional- Asserted: fails — The authors may not put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Women who received magazines tailored on both constructs were most likely to report getting mammograms and to have increased fruit and vegetable consumption [36].”
What the sources say
- Not checked yetcites [36] Kreuter MW, Skinner C, Holt CL, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African American women in urban public health centers. Prev Med. 2005;41:53–62. doi: 10.1016/j.ypmed.2004.10.013. [DOI] [PubMed] [Google Scholar]
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such overreaching may then undermine tailoring not only by yielding less relevant messages based on erroneous conclusions about the individual but also by compromising the credibility of the tailoring program.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“‘Feedback with evaluation’ would seem to have at least three potential effects: (i) the factual feedback links the information to the individual, thereby increasing involvement;”
hedgeddirect- Asserted: fails — The authors may not put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“For example, personalization and feedback might be hypothesized to lead to greater personal relevance, attention to messages, and greater elaboration [44].”
What the sources say
- Not checked yetcites [44] Kreuter MW, Skinner C, Steger-May K, et al. Responses to behaviorally vs. culturally tailored cancer communication for African American women. Am J Health Behav. 2004;28:195–207. doi: 10.5993/ajhb.28.3.1. [DOI] [PubMed] [Google Scholar]
hedgedconditional- Asserted: fails — The authors may not put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The authors may not put it forward as true. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Descriptive feedback ranges from simply restating or acknowledging information (e.g. ‘You said you smoke a pack of cigarettes per day.’) to providing information based on more complex processing of their responses (e.g. ‘Based on your answers, we determined that you eat 24 grams of fat per day.’).”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although differences between the three feedback tactics are subtle in practice, it seems possible that some might be more effective for certain individuals under certain circumstances.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the case of weak arguments, personalization might lead to more counterargumentation and less desired effects.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Personalization strategies are generally used to enhance message processing, though there is some evidence that they may also affect behavior directly [29].”
What the sources say
- Not checked yetcites [29] Dijkstra A. Working mechanisms of computer-tailored health education: evidence from smoking cessation. Health Educ Res. 2005;20:527–39. doi: 10.1093/her/cyh014. [DOI] [PubMed] [Google Scholar]
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: A message not attended to can have little or no effect.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a final step in this explication, we suggested that strategies and goals are often linked, with personalization more often affecting processing goals and feedback and content matching more related to outcomes.”
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, claims and evidence of tailoring's effectiveness are based on a variety of goals, both to alter message processing and to directly impact useful intermediate outcomes.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Because segmentation and customization rely on information about individuals and are arguably most effective when this information is detailed and relevant to targeted behaviors, individual-based assessments are often integral to tailored interventions.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Beyond this, we have argued that all tailoring employs one or more of three basic strategies, which subsume further distinctions of tactics.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The first argument that tailoring is not unitary results from the dual continua of audience segmentation and message customization: both are matters of degree, not categorical, and tailoring in practice thus varies continuously and relies on the linkage of the two.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Because segmentation and customization rely on information about individuals and are arguably most effective when this information is detailed and relevant to targeted behaviors, individual-based assessments are often integral to tailored interventions.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
The paper relies on this without support.
A message not attended to can have little or no effect.
“Obviously, a message not attended to can have little or no effect, so it should be no surprise that a common aim of tailoring is simply to increase attention (either the likelihood of processing the message at all or how far through the communication the receiver persists [13]), thus presumably increasing comprehension, itself necessary to effects.”
The paper relies on this without support.
Greater degrees of segmentation and customization increase cost and effort.
“Also, greater degrees of segmentation and customization increase cost and effort.”
The paper relies on this without support.
The more one knows about what influences performance of a given behavior, the more likely one can design an intervention to change or reinforce that behavior.
“Clearly, the more one knows about what influences performance of a given behavior, the more likely one can design an intervention to change or reinforce that behavior.”
The paper relies on this without support.
In practice, personalization, feedback and content matching are almost always combined.
“Although we describe the three strategies separately for conceptual clarity and those planning tailored communications should consider their separate advantages and disadvantages, in practice they are almost always combined.”
The paper relies on this without support.
We are currently quite far from the fully individualized tailoring ideal and approaching it will be difficult.
“We recognize that we are currently quite far from that ideal and also that approaching it will be difficult (note that Fig. 1 places tailoring as now practiced more or less at the center of both continua).”
The paper relies on this without support.
If someone has a strong intention to perform a given behavior and has the necessary skills and abilities, and if there are no environmental constraints to prevent behavioral performance, then the probability of the behavior is high.
“Ideally, if someone has a strong intention to perform a given behavior and has the necessary skills and abilities, and if there are no environmental constraints to prevent behavioral performance, then the probability of the behavior is high.”
The authors state this as an assumption.
Tailored feedback is generally assumed to provide social comparison information that may focus effortful processing on self-evaluation and normative comparison to stimulate changes in perceived norms, attitudes or beliefs.
“By comparing a person's attitudes, beliefs or behaviors to those of others, tailored feedback is generally assumed to provide social comparison information that may focus effortful processing on self-evaluation and normative comparison to stimulate changes in perceived norms, attitudes or beliefs.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Studies of personalization in health care and medicine have been increasing in number since the early 2000s [22], with growing evidence showing their effectiveness [23-26].”
From The Personalization of Conversational Agents in Health Care: Systematic Review (2019) · cites this paper as [24]
Experimental — accuracy not yet measuredIn the citing paper
“Experts in health behavior change have shown that conveying health information without considering individual differences may inhibit behavior change [20-26].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [21]
In the citing paper
“which is thought to be the essence of tailored approaches [21]”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [21]
Citations
Cites
Motivational interviewing: preparing people for change.
Miller, W. R., & Rollnick, S. (2002) · Cited by 7,002
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Nature and Operation of Attitudes
Ajzen, I. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.27 · Cited by 4,321
Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions
Noar, S. M., Benac, C. N., & Harris, M. S. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.4.673 · Cited by 2,136
The self-reference effect in memory: A meta-analysis
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“Such self-referential thinking may also increase the likelihood of central processing [23].”
Background(2018) · Routledge eBooks · doi:10.4324/9781315167534 · Cited by 1,147
Handbook of health communication
Thompson, T. L. (2008) · Cited by 1,121
Tailored and Targeted Health Communication: Strategies for Enhancing Information Relevance
Kreuter, M. W., & Wray, R. J. (2003) · American Journal of Health Behavior · doi:10.5993/ajhb.27.1.s3.6 · Cited by 1,095
Self-citationBryant, J. (2013) · Routledge eBooks · doi:10.4324/9780203873694 · Cited by 992
The Role of Theory in Uses and Gratifications Studies
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Cited by
Sorted by citations
Items 101–200 of 937
Smoking cessation: Next steps for special populations research and innovative treatments.
Borrelli, B. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0018327 · Cited by 70
“Treatment tailoring has been shown to increase attention to the message, create more effortful processing, and result in fewer counterarguments and greater perceived credibility of the message (Hawkins et al., 2008).”
BackgroundInfluentialBackground for Real-Time Monitoring and Intervention Related to Alcohol Use
Beckjord, E. B. (2014) · Alcohol research · doi:10.35946/arcr.v36.1.02 · Cited by 65
“Even outside the context of real-time interventions, evidence suggests that tailoring interventions can increase their effectiveness (Hawkins et al. 2008; Noar et al. 2007; Strecher et al. 2005).”
BackgroundElbert, S., Dijkstra, A., & Oenema, A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5056 · Cited by 69
“Furthermore, tailoring can have beneficial effects in health interventions over providing nontailored information, for example, by increasing the relevance of the information [17-20].”
Self-citationvan der Wulp, N. Y., Hoving, C., Eijmael, K., Candel, M. J. J. M., Dalen, W. E. V., & de Vries, H. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3493 · Cited by 66
“Consequently, the feedback is adapted to the specific characteristics of a particular individual, yielding the potential to provide messages highly tailored to the individuals’ situation [17].”
Kaňková, J., Binder, A., & Matthes, J. (2024) · BMC Public Health · doi:10.1186/s12889-024-21095-3 · Cited by 89
Martorella, G., Côté, J., Racine, M., & Choinière, M. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2070 · Cited by 69
Kornfield, R., Zhang, R., Nicholas, J., Schueller, S. M., Cambo, S. A., Mohr, D. C., & Reddy, M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376309 · Cited by 64
“…translating in-person therapies into a digital form [51,55,123]; however, a robust body of work suggests that tailored rather than “one-size-fits-all” approaches have greater effect since they deliver more relevant information, in turn improving engagement and information processing [44,61].”
BackgroundToward the data-driven dissemination of findings from psychological science.
Purtle, J., Marzalik, J. S., Halfond, R. W., Bufka, L. F., Teachman, B. A., & Aarons, G. A. (2020) · American Psychologist · doi:10.1037/amp0000721 · Cited by 66
Tailored patient therapeutic educational interventions: A patient‐centred communication model
Ricci, L., Villegente, J., Loyal, D., Ayav, C., Kivits, J., & Rat, A. (2021) · Health Expectations · doi:10.1111/hex.13377 · Cited by 69
“Hawkins et al.30 highlight the need to focus research on how tailoring works (i.e., which strategies are relevant for achieving tailoring goals).”
BackgroundMethodInfluentialA Randomized Trial of an Avatar-Hosted Multiple Behavior Change Intervention for Young Adult Smokers
An, L. C., Demers, M., Kirch, M., Considine-Dunn, S. E., Nair, V. N., Dasgupta, K., Narisetty, N. N., Resnicow, K., & Ahluwalia, J. S. (2013) · JNCI Monographs · doi:10.1093/jncimonographs/lgt021 · Cited by 68
Self-citationTadas, S., & Coyle, D. (2020) · Journal of Medical Internet Research · doi:10.2196/18025 · Cited by 71
“The literature outlined earlier has provided evidence that personalization [16] and the application of appropriate theory will play an important role in improving digital health technologies that target CVD.”
Cui, J., & Jian-an, Z. (2023) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-10-2022-0862 · Cited by 64
Reinwand, D. A., Schulz, D. N., Crutzen, R., Kremers, S. P., & de Vries, H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3932 · Cited by 62
“Consequently, computer-tailored interventions provide feedback that is more relevant to the individual, contains less redundant information, and is more likely to be processed and remembered than generic information [7-10].”
Lustria, M. L. A., Cortese, J., Gerend, M. A., Schmitt, K., Kung, Y. M., & McLaughlin, C. (2016) · Health Psychology · doi:10.1037/hea0000399 · Cited by 62
The importance of parental knowledge: Evidence from weight report cards in Mexico
Prina, S., & Royer, H. (2014) · Journal of Health Economics · doi:10.1016/j.jhealeco.2014.07.001 · Cited by 61
Gerend, M. A., Shepherd, M. A., & Lustria, M. L. A. (2013) · Sexually Transmitted Diseases · doi:10.1097/olq.0b013e318283c8a8 · Cited by 61
“This further suggests the importance of providing individualized messages rather than generic, one-size-fits-all information.(16,26,28) We manually evaluated women’s pretest responses to create a tailored information binder using print-based cards.”
MethodHorner, G., Agboola, S. O., Jethwani, K., Tan‐McGrory, A., & López, L. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6666 · Cited by 59
“Tailoring encompasses three domains: personalization, feedback, and content matching (identifying determinants of a given behavior that an individual must focus on to achieve that behavioral outcome [29]).”
Maher, M., Kaziunas, E., Ackerman, M. S., Derry, H. A., Forringer, R., Miller, K. M., O'Reilly, D., An, L. C., Tewari, M., Hanauer, D. A., et al. (2015) · Transplantation and Cellular Therapy · doi:10.1016/j.bbmt.2015.08.032 · Cited by 58
Personalized Coaching Systems to support healthy behavior in people with chronic conditions
Hermens, H. J., den Akker, H. O., Tabak, M., Wijsman, J., & Vollenbroek-Hutten, M. M. R. (2014) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2014.10.003 · Cited by 62
Sociotechnical Challenges and Progress in Using Social Media for Health
Munson, S. A., Cavusoglu, H., Frisch, L., & Fels, S. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2792 · Cited by 57
“Tailoring health messages has shown promise for increasing individuals’ likelihood of attending to and complying with them [88].”
BackgroundAdapting an in‐person patient–caregiver communication intervention to a tailored web‐based format
Zulman, D. M., Schafenacker, A., Barr, K. L. C., Moore, I. T., Fisher, J., McCurdy, K., Derry, H. A., Saunders, E. W., An, L. C., & Northouse, L. (2011) · Psycho-Oncology · doi:10.1002/pon.1900 · Cited by 55
“Just as FOCUS nurses asked patients and caregivers questions, provided feedback, and facilitated discussion, the web-based program utilizes a novel dyadic interface that directs questions to patients, caregivers, and the pair, and then provides tailored feedback based on the users’ responses [12].”
BackgroundRangan, A., Tieleman, L., Louie, J. C. Y., Tang, L. M., Hebden, L., Roy, R., Kay, J., & Allman-Farinelli, M. A. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516001525 · Cited by 57
“Such feedback might influence recording and/or may elicit unintended behaviour changes((36)).”
BackgroundCreating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach
Griffin, L., Lee, D., Jaisle, A., Carek, P., George, T., Laber, E., Lok, B., Modave, F., Paskett, E., & Krieger, J. (2019) · JMIR Human Factors · doi:10.2196/12700 · Cited by 57
“It may encourage patient disclosure [31], and it can also be used to provide tailored health information for patients, increasing perceptions of relevancy [41].”
BackgroundNeCamp, T., Sen, S., Frank, E., Walton, M. A., Ionides, E. L., Fang, Y., Tewari, A., & Wu, Z. (2020) · Journal of Medical Internet Research · doi:10.2196/15033 · Cited by 55
Leinonen, A., Pyky, R., Ahola, R., Kangas, M., Siirtola, P., Luoto, T., Enwald, H., Ikäheimo, T. M., Röning, J., Keinanen-Kiukaanniemi, S. M., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6675 · Cited by 53
“Tailoring of health communication is a means to increase effectiveness of health information by providing more user-centered information [24].”
Storm, V., Dörenkämper, J., Reinwand, D. A., Wienert, J., de Vries, H., & Lippke, S. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5147 · Cited by 59
“Because interventions cannot fit all populations and circumstances in the same way, tailoring intervention content and offering personal behavioral and action feedback might increase the effectiveness of such programs in comparison to generic interventions or so-called “one-size-fits-all” approaches [39,40].”
A Qualitative Study of Faith Leaders’ Perceptions of Health and Wellness
Webb, B. L., Bopp, M., & Fallon, E. A. (2011) · Journal of Religion and Health · doi:10.1007/s10943-011-9476-6 · Cited by 55
“The reproduction of successful interventions in other FBOs should be preceded by a comprehensive evaluation of their customs and beliefs to allow for tailored health communication materials that are culturally and socially relevant (Hawkins et al. 2008).”
BackgroundLivingood, W. C., Monticalvo, D., Bernhardt, J. M., Wells, K. T., Harris, T. A., Kee, K., Hayes, J. L., George, D. E., & Woodhouse, L. D. (2016) · Health Education & Behavior · doi:10.1177/1090198116677216 · Cited by 55
Cartujano‐Barrera, F., Cox, L. S., Arana‐Chicas, E., Ramírez, M., Perales‐Puchalt, J., Valera, P. A., Díaz, F. J., Catley, D., Ellerbeck, E. F., & Cupertino, A. P. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00269 · Cited by 55
“Cultural and linguistic congruence may increase the effectiveness of interventions by enhancing message processing and acceptance by participants (24, 25).”
BackgroundBalbale, S. N., Schwingel, A., Chodzko-Zajko, W. J., & Huhman, M. E. (2013) · Health Communication · doi:10.1080/10410236.2013.800442 · Cited by 54
“Changing behaviors and improving health outcomes necessitates that researchers work collaboratively with clinicians and other public health professionals to effectively reach and connect with their target audiences (Hawkins et al., 2008; Rodgers et al., 2007).”
BackgroundMijumbi, R., Oxman, A. D., Panisset, U. D. B., & Sewankambo, N. K. (2014) · Implementation Science · doi:10.1186/s13012-014-0114-z · Cited by 54
“have also demonstrated that KT interventions that actively deliver and adapt to the needs of end users (ensuring the content of the message is relevant, timely and applicable to the intended user), rather than requiring them to access it independently, may lead to changes in knowledge and practice [43,44].”
Stites, S. D., Johnson, R., Harkins, K. A., Sankar, P. L., Xie, D., & Karlawish, J. H. (2016) · Health Communication · doi:10.1080/10410236.2016.1255847 · Cited by 54
“To deliver personally relevant messages (Hawkins, Kreuter, Resnicow, Fishbein, & Dijkstra, 2008), public health campaigns designed to change stigma of Alzheimer’s disease in older subpopulations will need to address concerns related to support, exclusion, and discrimination.”
van Velsen, L., Broekhuis, M., Jansen-Kosterink, S. M., & den Akker, H. O. (2019) · Journal of Medical Internet Research · doi:10.2196/11759 · Cited by 52
“Tailoring, as defined in a study by Hawkins et al, pertains to “any of a number of methods for creating communications individualized for their receivers, with the expectation that this individualization will lead to larger intended effects of these communications” [9].”
BackgroundWill tourists take mobile travel advice? Examining the personalization-privacy paradox
Lei, S. I., Chan, I. C. C., Tang, J., & Ye, S. (2022) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2022.02.007 · Cited by 58
Vandelanotte, C., & Mummery, W. K. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-70 · Cited by 53
“Due to a lack of evidence it is unclear whether accommodating such ‘personalisation’ of preferences would result in higher intervention effectiveness [48].”
BackgroundCabrita, M., den Akker, H. O., Tabak, M., Hermens, H. J., & Vollenbroek-Hutten, M. M. R. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.06.010 · Cited by 56
“tailoring as “any of a number of methods for creating communications individualized for their receivers, with the expectation that this individualization will lead to larger intended effects of these communications” [134].”
BackgroundVarsi, C., Ledel Solem, I. K., Eide, H., Børøsund, E., Kristjansdottir, O. B., Heldal, K., Waxenberg, L. B., Weiss, K. E., Schreurs, K. M. G., Morrison, E. J., et al. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06278-7 · Cited by 53
Understanding drivers of brand love - the role of personalized ads on social media
Tran, T. P., Muldrow, A. F., & Ho, K. N. B. (2020) · Journal of Consumer Marketing · doi:10.1108/jcm-07-2019-3304 · Cited by 55
Shin, H., & Perdue, R. R. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.103077 · Cited by 52
Lorenz, S., Dessai, S., Forster, P. M. D. F., & Paavola, J. (2015) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2014.0457 · Cited by 55
“Tailoring, therefore, aims to better understand these audience-specific aspects and customize or individualize visualizations accordingly to increase their effectiveness [27].”
Randomized controlled trial testing an internet physical activity intervention for sedentary adults.
Carr, L. J., DUNSIGER, S. I., Lewis, B. A., Ciccolo, J. T., Hartman, S. J., Bock, B. C., Dominick, G. M., & Marcus, B. H. (2012) · Health Psychology · doi:10.1037/a0028962 · Cited by 54
Wulfovich, S., Fiordelli, M., Rivas, H., Concepcion, W., & Wac, K. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02388 · Cited by 58
Voncken-Brewster, V., Tange, H. J., de Vries, H., Nagykaldi, Z. J., Winkens, B., & van der Weijden, T. (2015) · International Journal of COPD · doi:10.2147/copd.s81295 · Cited by 50
“Participants could switch behavior-change modules and choose to enter one or more intervention components according to their preference.(10) Feedback was personalized using participants’ names and tailored to participants’ characteristics and key behav-”
MethodNguyen, M. H., van Weert, J. C. M., Bol, N., Loos, E. F., Tytgat, K. M. A. J., van de Ven, A. W. H., & Smets, E. M. A. (2016) · Human Communication Research · doi:10.1111/hcre.12097 · Cited by 58
“Most tailoring efforts aim to increase attention to the message, which in turn increases recall of information (Hawkins et al., 2008).”
BackgroundTargeted client communication via mobile devices for improving sexual and reproductive health
Palmer, M. J., Henschke, N., Villanueva, G., Maayan, N., Bergman, H., Glenton, C., Lewin, S. A., Fønhus, M. S., Tamrat, T., Mehl, G. L., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013680 · Cited by 50
Let’s get personal: Which elements elicit perceived personalization in social media advertising?
Keyzer, F. D., Dens, N., & Pelsmacker, P. D. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101183 · Cited by 50
“…personalization (i.e., advertisement based on broad categories such as gender) to full personalization where one individual is addressed based on specific individual information (e.g., name, connections to specific pages) (Arora et al., 2008; Grubbs Hoy and Milne, 2010; Hawkins et al., 2008).”
BackgroundGarnweidner-Holme, L. M., Lukasse, M., Solheim, M., & Henriksen, L. (2017) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-017-1308-6 · Cited by 50
Monteiro-Guerra, F., Signorelli, G. R., Rivera-Romero, O., Zubiete, E. D., & Caulfield, B. (2020) · JMIR mhealth and uhealth · doi:10.2196/18867 · Cited by 52
“In the latter method, SCT [33,35,43] and SDT [31,44] constructs, personalized coaching strategies [12,20,25], and gamification mechanics [37] helped to identify internal and external motivational influences on participants’ PA adherence and PA app use.”
BackgroundMethodSafety First: Conversational Agents for Health Care
Bickmore, T., Trinh, H., Asadi, R., & Olafsson, S. (2018) · Human–Computer Interaction Series · doi:10.1007/978-3-319-95579-7_3 · Cited by 50
Wannheden, C., Stenfors, T., Stenling, A., & Schwarz, U. V. T. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2020.623773 · Cited by 55
“Tailoring strategies involve personalization (making the information more meaningful to the recipient), feedback (presenting individuals with information about themselves), and content matching (directing messages to individuals’ needs in relation to aspired behaviors) (27).”
BackgroundAlber, J. M., Bernhardt, J. M., Stellefson, M., Weiler, R. M., Anderson‐Lewis, C., Miller, M. D., & MacInnes, J. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4943 · Cited by 53
“Such tailoring can result in a greater impact on the intended behavior [2].”
Tailoring of Self-Management Interventions in Patients With Heart Failure
Bos-Touwen, I. D., Jonkman, N. H., Westland, H., Schuurmans, M. J., Rutten, F. H., de Wit, N. J., & Trappenburg, J. C. A. (2015) · Current Heart Failure Reports · doi:10.1007/s11897-015-0259-3 · Cited by 49
Stanczyk, N. E., de Vries, H., Candel, M. J. J. M., Muris, J. W. M., & Bolman, C. A. W. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.11.002 · Cited by 49
Songtaweesin, W. N., Kawichai, S., Phanuphak, N., Cressey, T. R., Wongharn, P., Saisaengjan, C., Chinbunchorn, T., Janyam, S., Linjongrat, D., Puthanakit, T., et al. (2020) · Journal of the International AIDS Society · doi:10.1002/jia2.25564 · Cited by 49
“, which was designed based on use of the IMB skills model, specifically with information tailored to promote PrEP adherence and reduction of risk behaviours [26,28].”
MethodLeventhal, A. M., Huh, J., & Dunton, G. F. (2014) · Perspectives in Public Health · doi:10.1177/1757913913495780 · Cited by 47
Knowing is believing: information and attitudes towards physical activity during pregnancy
Cannella, D., Lobel, M., & Monheit, A. G. (2010) · Journal of Psychosomatic Obstetrics & Gynecology · doi:10.3109/0167482x.2010.525269 · Cited by 48
“For example, individually tailored interventions, which have been shown to be more effective than non-tailored interventions [32,33], could be used to increase positive perceptions of physical activity by teaching women how to achieve the benefits and how to avoid the risks of physical activity and inactivity.”
BackgroundGrip on challenging behavior: process evaluation of the implementation of a care program
Zwijsen, S. A., Smalbrugge, M., Eefsting, J. A., Gerritsen, D. L., Hertogh, C. M. P. M., & Pot, A. M. (2014) · Trials · doi:10.1186/1745-6215-15-302 · Cited by 48
“In these evaluation sessions, barriers and facilitators in implementing the care program were discussed and tailored communication was used to improve implementation in the DSCU [24].”
MethodVoncken-Brewster, V., Moser, A., van der Weijden, T., Nagykaldi, Z. J., de Vries, H., & Tange, H. J. (2013) · JMIR Research Protocols · doi:10.2196/resprot.2246 · Cited by 47
“Personalization and adaptation of computer-tailored messages result in increased attention, appreciation, and processing of information [14,16].”
Mutti, S., Reid, J. L., Gupta, P. C., Pednekar, M. S., Dhumal, G., Nargis, N., Hussain, A. G., & Hammond, D. G. (2015) · Tobacco Control · doi:10.1136/tobaccocontrol-2015-052315 · Cited by 48
Bass, S. B., Kelly, P. J. A., Brajuha, J. A., Gutierrez-Mock, L., Koester, K. A., D’Avanzo, P. A., & Sevelius, J. M. (2022) · BMC Public Health · doi:10.1186/s12889-021-12425-w · Cited by 54
Eppes, E. V., Augustyn, M., Gross, S. J., Vernon, P., Caulfield, L. E., & Paige, D. M. (2022) · Journal of Medical Internet Research · doi:10.2196/40934 · Cited by 51
“This finding is supported by prior research that demonstrates that highly tailored interactive messages (eg, two-way texting and providing opportunities for client feedback) tend to be more successful [13,52,53].”
Designing personalised mHealth solutions: An overview
Rivera-Romero, O., Gabarrón, E., Ropero, J., & Denecke, K. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104500 · Cited by 52
Investing in public health: barriers and possible solutions
Richardson, A. K. (2012) · Journal of Public Health · doi:10.1093/pubmed/fds039 · Cited by 48
Translation of the Diabetes Prevention Program to Ethnic Communities in the United States
Hall, D. L., Lattie, E. G., McCalla, J. R., & Saab, P. G. (2015) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-015-0209-x · Cited by 49
“The use of visual aids when tailoring printed materials is of high value, in part because it decreases the cognitive demand on the part of the recipient [32, 38].”
BackgroundChatGPT personalized and humorous recommendations
Kim, J. H., Kim, J., Baek, T. H., & Kim, C. (2024) · Annals of Tourism Research · doi:10.1016/j.annals.2024.103857 · Cited by 50
Sudeck, G., Lehnert, K., & Conzelmann, A. (2011) · Zeitschrift für Sportpsychologie · doi:10.1026/1612-5010/a000032 · Cited by 43
Yeo, T. E. D., Chu, T. H., & Li, Q. (2025) · Journal of Advertising Research · doi:10.1080/00218499.2025.2467763 · Cited by 44
Naderimagham, S., Niknami, S., Abolhassani, F., Hajizadeh, E., & Montazeri, A. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-1035 · Cited by 44
“refer tailoring to a number of methods for creating individualized communications that will lead to larger intended effects of these communications [21].”
BackgroundSystematic Review of Educational Interventions to Improve Glaucoma Medication Adherence
Newman-Casey, P. A., Weizer, J. S., Heisler, M., Lee, P. P., & Stein, J. D. (2013) · Seminars in Ophthalmology · doi:10.3109/08820538.2013.771198 · Cited by 44
“Tailored information has been shown to be more effective than non-tailored educational materials in other areas of health prevention as well, such as in improving rates of smoking cessation, fruit and vegetable consumption, and obtaining mammograms.(40,41) The fact that the majority of the effective educational interv…”
BackgroundJohnson, J. M. Q., Yılmaz, G., & Najarian, K. M. (2016) · Health Communication · doi:10.1080/10410236.2016.1214218 · Cited by 44
Yang, J., & Jiang, M. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-03-2020-0048 · Cited by 48
Dijkstra, A., & Ballast, K. (2011) · British Journal of Health Psychology · doi:10.1111/j.2044-8287.2011.02029.x · Cited by 44
Self-citationBos-Touwen, I. D., Trappenburg, J. C. A., van der Wulp, I., Schuurmans, M. J., & de Wit, N. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171251 · Cited by 43
Give Me a Like: How HIV/AIDS Nonprofit Organizations Can Engage Their Audience on Facebook
Huang, Y.-C., Lin, Y.-P., & Saxton, G. D. (2016) · AIDS Education and Prevention · doi:10.1521/aeap.2016.28.6.539 · Cited by 53
Targeted client communication via mobile devices for improving maternal, neonatal, and child health
Palmer, M. J., Henschke, N., Bergman, H., Villanueva, G., Maayan, N., Tamrat, T., Mehl, G. L., Glenton, C., Lewin, S. A., Fønhus, M. S., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013679 · Cited by 45
Engaging youth in mHealth: what works and how can we be sure?
Hightow‐Weidman, L., Horvath, K. J., Scott, H. M., Hill-Rorie, J., & Bauermeister, J. A. (2021) · mHealth · doi:10.21037/mhealth-20-48 · Cited by 41
“Tailoring Within mHealth, tailoring refers to the use of individuals’ data to customize intervention content based on variation in their psychological, social, and behavioral profiles with the expectation that this individualization will lead to larger intended effects of these communications (38,39).”
BackgroundKankanhalli, A., Xia, Q., & Zhao, X. (2021) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00152 · Cited by 45
Kessels, L. T. E., Ruiter, R. A. C., Brug, J., & Jansma, B. M. (2010) · Appetite · doi:10.1016/j.appet.2010.11.139 · Cited by 41
Skov-Ettrup, L. S., Ringgaard, L. W., Dalum, P., Flensborg‐Madsen, T., Thygesen, L. C., & Tolstrup, J. S. (2014) · Health Education Research · doi:10.1093/her/cyt112 · Cited by 41
“Identifying which components of internet-based smoking cessation programs are effective has been suggested to be a research priority [5, 6, 23].”
BackgroundTailored Healthcare: Two Perspectives on the Development and Use of Patient Profiles
Dekkers, T., & Hertroijs, D. F. L. (2018) · Advances in Therapy · doi:10.1007/s12325-018-0765-2 · Cited by 42
Dailey, R. M., McCracken, A. A., & Romo, L. K. (2011) · Communication Monographs · doi:10.1080/03637751.2011.564638 · Cited by 40
Regulatory Fit Messages and Physical Activity Motivation
Pfeffer, I. (2013) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.35.2.119 · Cited by 40
“Audience segments are often built based upon demographic categories (Hawkins et al., 2008).”
BackgroundDissemination Science in School Mental Health: A Framework for Future Research
Baker, E. A., Brewer, S. K., Owens, J. S., Cook, C. R., & Lyon, A. R. (2021) · School Mental Health · doi:10.1007/s12310-021-09446-6 · Cited by 41
“Without ensuring the stakeholder’s attention, a message’s information cannot be received; thus, successful dissemination strategies devote considerable effort to tailoring the message to the audience in ways that increase their attention (Hawkins et al., 2008).”
BackgroundThe role of well‐being in consumer's responses to personalized advertising on social media
Keyzer, F. D., Buzeta, C., & Lopes, A. I. (2024) · Psychology and Marketing · doi:10.1002/mar.21977 · Cited by 39
Coerced Change-talk with Conversational Agents Promotes Confidence in Behavior Change
Ólafsson, S., O’Leary, T. K., & Bickmore, T. (2019) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3329189.3329202 · Cited by 43
“Accomplishing this successfully requires creating interventions that are tailored to the individuals' characteristics and circumstances [1, 2].”
BackgroundBai, Y., Wong, C. L., He, X., Wang, C., & So, W. K. W. (2019) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2019.103397 · Cited by 39
Automated Indexing of Internet Stories for Health Behavior Change: Weight Loss Attitude Pilot Study
Manuvinakurike, R., Velicer, W. F., & Bickmore, T. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3702 · Cited by 39
“Tailoring is thought to work by making messages more subjectively relevant and thus increasing the likelihood that individuals will process and internalize them [36].”
Albada, A., van Dulmen, S., Lindhout, D., Bensing, J. M., & Ausems, M. G. E. M. (2011) · Familial Cancer · doi:10.1007/s10689-011-9479-1 · Cited by 39
“perceived as more personally relevant [30], stimulates cognitive activity [31, 32] and is better recalled than generic information [33–36].”
BackgroundJerant, A. F., Kravitz, R. L., Sohler, N., Fiscella, K. A., Romero, R. L., Parnes, B. L., Tancredi, D. J., Aguilar‐Gaxiola, S., Slee, C. A., Dvorak, S., et al. (2014) · The Annals of Family Medicine · doi:10.1370/afm.1623 · Cited by 38
Dempsey, A. F., Maertens, J., Sevick, C. J., Jimenez-Zambrano, A. M., & Juarez‐Colunga, E. (2019) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2018.1559685 · Cited by 38
“Tailored communication strategies have been shown to be highly effective for increasing patient adherence to a wide variety of recommended health behaviors but has not been extensively applied previously to the topic of vaccination.(25,26) Thus, we conducted a randomized controlled trial to test the hypothesis that La…”
BackgroundTailoring coaching strategies to users’ motivation in a multi-agent health coaching application
Beinema, T. C., den Akker, H. O., van Velsen, L., & Hermens, H. J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106787 · Cited by 43
“Examples include personalization, adaptation, content matching, feedback, inter-human interaction, goal setting, user targeting, context awareness, and self-learning (Dijkstra, 2008; Hawkins et al., 2008; op den Akker et al., 2014).”
BackgroundOwnby, R. L., Hertzog, C. K., & Czaja, S. J. (2012) · Clinical Gerontologist · doi:10.1080/07317115.2012.657294 · Cited by 38
“Tailored information interventions delivered by computers have also been shown to be effective in changing healthcare-related behaviors ( Hawkins, Kreuter, Resnicow, Fishbein, & Dijkstra, 2008 ; Kreuter & Wray, 2003 ).”
BackgroundThe Impact of Linguistic and Cultural Congruity on Persuasion by Conversational Agents
Yin, L., Bickmore, T., & Cortés, D. E. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15892-6_36 · Cited by 37
“Message tailoring is thought to impact both routes to persuasion [1].”
BackgroundDissecting an Online Intervention for Cancer Survivors
Chen, Z., Koh, P. W., Ritter, P. L., Lorig, K. R., Bantum, E. O., & Saria, S. (2014) · Health Education & Behavior · doi:10.1177/1090198114550822 · Cited by 37
Enwald, H., Hirvonen, N., Huotari, M., Korpelainen, R., Pyky, R., Savolainen, M. J., Salonurmi, T., Keränen, A.-M., Jokelainen, T., & Niemelä, R. (2016) · Journal of Information Science · doi:10.1177/0165551516628449 · Cited by 37
“It aims to increase the possibility that the information content is received, processed and accepted by the receiver [43, 44].”
BackgroundEnhancing Smoking Risk Communications: The Influence of Health Literacy and Message Content
Hoover, D. S., Wetter, D. W., Vidrine, D. J., Nguyen, N. T., Frank-Pearce, S. G., Li, Y., Waters, A. J., Meade, C. D., & Vidrine, J. I. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kax042 · Cited by 39
Tiozzo, B., Pinto, A. C. S. N., Mascarello, G., Mantovani, C., & Ravarotto, L. (2018) · Journal of Risk Research · doi:10.1080/13669877.2018.1440414 · Cited by 37
“Audience segmentation, i.e. the process of dividing the audience into homogeneous subgroups based on meaningful criteria, is a prerequisite to successfully design communication interventions (Geber, Baumann, and Klimmt 2016; Hawkins et al. 2008).”
BackgroundUser Perceptions of Extraversion in Chatbots after Repeated Use
Völkel, S. T., Schoedel, R., Kaya, L., & Mayer, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502058 · Cited by 41
“Despite these advantages, current “one-size-fits-all” mental health applications often fail, underlining the need for systems that are tailored to individual user needs to increase pertinence, user engagement, treatment adherence, and clinical efficacy [42, 50, 52, 62, 104, 110, 132].”
BackgroundCortese, J., & Lustria, M. L. A. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22700 · Cited by 36
“To increase the perceived “personal relevance” of the health messages, several tailoring strategies described in previous studies were used in the tailored Web site (Hawkins et al., 2008; Lustria et al., 2009): personalization (mention of items participants could identify with as determined during the tailoring assess…”
MethodPanozzo, C. A., Head, K. J., Kornides, M. L., Feemster, K. A., & Zimet, G. D. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2020.01.024 · Cited by 37
Metadata
- Authors
- Hawkins, R. P., Kreuter, M., Resnicow, K., Fishbein, M., & Dijkstra, A.
- Affiliations
- University of Wisconsin–Madison (US)
- Saint Louis University (US)
- University of Michigan (US)
- University of Pennsylvania (US)
- University of Groningen (NL)
- Corresponding author
- Hawkins, R. P.
- Venue
- Health Education Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-06-01
- Volume
- 23
- Issue
- 3
- Pages
- 454-466
- ISSN
- 0268-1153 (ISSN-L)
- 1465-3648
- PMC
- PMC3171505
- OpenAlex
- W2162486273
- Semantic Scholar
- 2726edb4ea8a922748ad9c8aeb548785670e22fe
- Cited by
- 934
- References
- 47
- Citations by year
- 2026: 38 · 2025: 48 · 2024: 42 · 2023: 42 · 2022: 67 · 2021: 72 · 2020: 85 · 2019: 61 · 2018: 66 · 2017: 54 · 2016: 55 · 2015: 77 · 2014: 56 · 2013: 58 · 2012: 32
- FWCI
- 667.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Education Research (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- National Cancer Institute (R01CA114539)
- Topics
- Social Sciences › Communication › Media Influence and Health
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Keywords
- tailoring, health communication, personalized communication, personalization, feedback, content matching, behavioral factors
- MeSH terms
- Attention, Cognition, Communication, Goals, Health Education, Health Services Research, Humans, Patient Education as Topic
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