Cited by 194Behavioral Health and InterventionsInnovative Human-Technology InteractionBehavioral and Psychological Studies

The DOI matches its Crossref record; 155 of the 158 references it cites were found in a registry or an index.

Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature

Open access

Hermsen, Sander, Frost, Jeana, Renes, Reint Jan, Kerkhof, Peter·2016·Computers in Human Behavior

DOI 10.1016/j.chb.2015.12.023

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.chb.2015.12.023

Cites

155 of 155 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,451
Untitled work
(1990) · Cited by 24,217
Qualitative evaluation and research methods
Ellis, D. J. (1990) · International Journal of Information Management · doi:10.1016/0268-4012(90)90041-p · Cited by 17,943
The Power of Feedback
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905
Introduction to Meta‐Analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
A power primer.
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation.
Deci, E. L., Koestner, R., & Ryan, R. M. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.6.627 · Cited by 7,176
Beyond pleasure and pain
Higgins, E. T. (1997) · American Psychologist · doi:10.1037/0003-066x.52.12.1280 · Cited by 6,775
The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory.
Kluger, A. N., & DeNisi, A. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.254 · Cited by 5,882
Audit and feedback: effects on professional practice and healthcare outcomes
Ivers, N., Jamtvedt, G., Flottorp, S., Young, J. M., Odgaard-Jensen, J., French, S. D., O'Brien, M. A., Johansen, M., Grimshaw, J., & Oxman, A. D. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000259.pub3 · Cited by 5,485 · cited 4×
“…shows that tailoring message content to meet recipient motivation, traits, abilities and preferences increases the effectiveness of such messages (e.g. Noar, Benac, & Harris, 2007; Noar, Harrington, Van Stee, & Aldrich, 2011; Ivers et al., 2012; Kaptein, De Ruyter, Markopoulos, & Aarts, 2012).”
BackgroundInfluential
Ego depletion: Is the active self a limited resource?
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.74.5.1252 · Cited by 5,312
Handbook of self-regulation: research, theory, and applications
(2005) · Choice Reviews Online · doi:10.5860/choice.42-3719 · Cited by 3,646
Action control : from cognition to behavior
Kühl, J., & Beckmann, J. (1985) · Cited by 3,444
Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation.
Multon, K. D., Brown, S. D., & Lent, R. W. (1991) · Journal of Counseling Psychology · doi:10.1037/0022-0167.38.1.30 · Cited by 2,309
Systematic Review and Meta-analysis
Garg, A. X., Hackam, D. G., & Tonelli, M. A. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.01430307 · Cited by 2,293
Self-regulation failure: an overview.
Baumeister, R. F., & Heatherton, T. F. (1996) · Psychological Inquiry · doi:10.1207/s15327965pli0701_1 · Cited by 2,266
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
Executive functions and self-regulation
Hofmann, W., Schmeichel, B. J., & Baddeley, A. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.01.006 · Cited by 1,965
The Hawthorne Effect: a randomised, controlled trial
McCarney, R., Warner, J. P., Iliffe, S., van Haselen, R. A., Griffin, M., & Fisher, P. (2007) · BMC Medical Research Methodology · doi:10.1186/1471-2288-7-30 · Cited by 1,838
Strangers to ourselves: discovering the adaptive unconscious
(2003) · Choice Reviews Online · doi:10.5860/choice.40-3712 · Cited by 1,642
The four horsemen of automaticity: Awareness, intention, efficiency, and control in social cognition.
Bargh, J. A. (1994) · Cited by 1,587
Publication bias in the social sciences: Unlocking the file drawer
Franco, A., Malhotra, N., & Simonovits, G. (2014) · Science · doi:10.1126/science.1255484 · Cited by 1,542
Introduction to Meta-Analysis
Jones, H. E. (2010) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.2010.01108.x · Cited by 1,447
Time to retire the theory of planned behaviour
Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014) · Health Psychology Review · doi:10.1080/17437199.2013.869710 · Cited by 1,406
What is beautiful is usable
Tractinsky, N., Katz, A. S., & Ikar, D. (2000) · Interacting with Computers · doi:10.1016/s0953-5438(00)00031-x · Cited by 1,376
Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors
Gelman, A., & Carlin, J. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614551642 · Cited by 1,343
Feedback on household electricity consumption: a tool for saving energy?
Fischer, C. (2008) · Energy Efficiency · doi:10.1007/s12053-008-9009-7 · Cited by 1,337
Designing Experiments and Analysing Data: A Model Comparison Perspective.
Freeman, G. H., Maxwell, S. E., & Delaney, H. D. (1991) · Biometrics · doi:10.2307/2532173 · Cited by 1,229
Interventions to Break and Create Consumer Habits
Verplanken, B., & Wood, W. (2006) · Journal of Public Policy & Marketing · doi:10.1509/jppm.25.1.90 · Cited by 1,221
A stage-based model of personal informatics systems
Li, I., Dey, A., & Forlizzi, J. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753409 · Cited by 1,114
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Yang, C.-C., & Hsu, Y.-L. (2010) · Sensors · doi:10.3390/s100807772 · Cited by 1,058
A review and analysis of the use of ‘habit’ in understanding, predicting and influencing health-related behaviour
Gardner, B. (2015) · Health Psychology Review · doi:10.1080/17437199.2013.876238 · Cited by 1,016
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
(2010) · doi:10.1145/1753326 · Cited by 996
Discrepancy between self-reported and actual caloric intake and exercise in obese subjects
Lichtman, S. W., Pisarska, K., Berman, E. R., Pestone, M., Dowling, H., Offenbacher, E., Weisel, H., Heshka, S., Matthews, D. E., & Heymsfield, S. B. (1992) · New England Journal of Medicine · doi:10.1056/nejm199212313272701 · Cited by 964
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
(2015) · doi:10.1145/2702123 · Cited by 948
Promoting habit formation
Lally, P., & Gardner, B. (2013) · Health Psychology Review · doi:10.1080/17437199.2011.603640 · Cited by 901 · cited 1×
“However, there is an obvious confound of intervention length with the type of behavior targeted, because not every habitual behavior is equally difficult to change, with periods needed for change ranging from a few weeks to behavioral vigilance without time limit (Lally & Gardner, 2013).”
Background
Approach and Avoidance Motivation
Elliot, A. J., & Covington, M. V. (2001) · Educational Psychology Review · doi:10.1023/a:1009009018235 · Cited by 897
Academic studing and the development of personal skill: A self-regulatory perspective
Zimmerman, B. J. (1998) · Educational Psychologist · doi:10.1080/00461520.1998.9653292 · Cited by 896
Mobile Text Messaging for Health: A Systematic Review of Reviews
Hall, A. K., Cole-Lewis, H., & Bernhardt, J. M. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031914-122855 · Cited by 815
The design of eco-feedback technology
Froehlich, J., Findlater, L., & Landay, J. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753629 · Cited by 813
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671
The habitual consumer
Wood, W., & Neal, D. T. (2009) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2009.08.003 · Cited by 667
The silence of the library: Environment, situational norm, and social behavior.
Aarts, H., & Dijksterhuis, A. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.1.18 · Cited by 624
Theory-driven design strategies for technologies that support behavior change in everyday life
Consolvo, S., McDonald, D. W., & Landay, J. A. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518766 · Cited by 594
Untitled work
(2004) · Cited by 582
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
(2009) · doi:10.1145/1518701 · Cited by 576
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
(2008) · doi:10.1145/1357054 · Cited by 551
Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
Hurling, R., Catt, M., De Boni, M., Fairley, B. W., Hurst, T., Murray, P., Richardson, A., & Sodhi, J. S. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e7 · Cited by 536
Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design
Wood, G., & Newborough, M. (2003) · Energy and Buildings · doi:10.1016/s0378-7788(02)00241-4 · Cited by 511
Good intentions, bad habits, and effects of forming implementation intentions on healthy eating
Verplanken, B., & Faes, S. (1999) · European Journal of Social Psychology · doi:10.1002/(sici)1099-0992(199908/09)29:5/6 · Cited by 509
Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: a systematic review
Dombrowski, S. U., Sniehotta, F. F., Avenell, A., Johnston, M., MacLennan, G., & Araújo-Soares, V. (2012) · Health Psychology Review · doi:10.1080/17437199.2010.513298 · Cited by 504
A pharmacist-led information technology intervention for medication errors (PINCER): a multicentre, cluster randomised, controlled trial and cost-effectiveness analysis
Avery, A. J., Rodgers, S., Cantrill, J. A., Armstrong, S., Cresswell, K. M., Eden, M., Elliott, R. A., Howard, R., Kendrick, D., Morris, C. J., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(11)61817-5 · Cited by 498
Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term
Hargreaves, T., Nye, M., & Burgess, J. A. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.03.027 · Cited by 474
04/00992 Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design
(2004) · Fuel and Energy Abstracts · doi:10.1016/s0140-6701(04)93374-7 · Cited by 390
Book review
Petrou, A. D. (2003) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.10328 · Cited by 387
Feedback Sign Effect on Motivation: Is it Moderated by Regulatory Focus?
Van‐Dijk, D., & Kluger, A. N. (2003) · Applied Psychology · doi:10.1111/j.1464-0597.2004.00163.x · Cited by 340
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Dey, A. K., Chu, H.-H., & Hayes, G. R. (2012) · doi:10.1145/2370216 · Cited by 332
Unlocking the €53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU’s smart grid investment
Faruqui, A., Harris, D., & Hledik, R. M. (2010) · Energy Policy · doi:10.1016/j.enpol.2010.06.010 · Cited by 321
Effects of Process Feedback on Motivation, Satisfaction, and Performance in Virtual Teams
Geister, S., Konradt, U., & Hertel, G. (2006) · Small Group Research · doi:10.1177/1046496406292337 · Cited by 316
The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments
Tuch, A. N., Presslaber, E. E., Stöcklin, M., Opwis, K., & Bargas-Avila, J. A. (2012) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2012.06.003 · Cited by 298
How Accurate is Web-Based Self-Reported Height, Weight, and Body Mass Index in Young Adults?
Pursey, K., Burrows, T. L., Stanwell, P., & Collins, C. E. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2909 · Cited by 292
From pre-registration to publication: a non-technical primer for conducting a meta-analysis to synthesize correlational data
Quintana, D. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01549 · Cited by 284
Task type as a moderator of positive/negative feedback effects on motivation and performance: A regulatory focus perspective
Dijk, D. V., & Kluger, A. N. (2010) · Journal of Organizational Behavior · doi:10.1002/job.725 · Cited by 276
Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking
Kaptein, M., De Ruyter, B., Markopoulos, P., & Aarts, E. (2012) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2209310.2209313 · Cited by 274
TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning
Lieberman, J., & Breazeal, C. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.907481 · Cited by 272
The Impact of Computer-Tailored Feedback and Iterative Feedback on Fat, Fruit, and Vegetable Intake
Brug, J., Glanz, K., van Assema, P., Kok, G., & van Breukelen, G. V. (1998) · Health Education & Behavior · doi:10.1177/109019819802500409 · Cited by 269
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
(2014) · doi:10.1145/2632048 · Cited by 266
CHI '14 Extended Abstracts on Human Factors in Computing Systems
Ferguson, R. D. (2014) · doi:10.1145/2559206 · Cited by 266
Can’t Control Yourself? Monitor Those Bad Habits
Quinn, J. M., Pascoe, A., Wood, W., & Neal, D. T. (2010) · Personality and Social Psychology Bulletin · doi:10.1177/0146167209360665 · Cited by 256
Health Mashups
Bentley, F. R., Tollmar, K., Stephenson, P. D., Levy, L. M., Jones, B. D., Robertson, S. L., Price, E., Catrambone, R., & Wilson, J. (2013) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2503823 · Cited by 253
5 Demand Characteristics and the Concept of Quasi-Controls
Orne, M. T. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195385540.003.0005 · Cited by 251
Theoretical Explanations for Reactivity in Self-Monitoring
Nelson, R. O., & Hayes, S. C. (1981) · Behavior Modification · doi:10.1177/014544558151001 · Cited by 251
Integrating Technology Into Standard Weight Loss Treatment: A Randomized Controlled Trial
Spring, B., Duncan, J. M., Janke, E. A., Kozak, A. T., McFadden, H. G., DeMott, A., Pictor, A., Epstein, L. H., Siddique, J., Pellegrini, C. A., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1221 · Cited by 234
Testimonials Versus Informational Persuasive Messages
Braverman, J. (2008) · Communication Research · doi:10.1177/0093650208321785 · Cited by 231
Using theory to synthesise evidence from behaviour change interventions: The example of audit and feedback
Gardner, B., Whittington, C., McAteer, J., Eccles, M. P., & Michie, S. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.01.039 · Cited by 225
Treatment of childhood obesity by retraining eating behaviour: Randomised controlled trial
Ford, A. L., Bergh, C., Sodersten, P., Sabin, M. A., Hollinghurst, S., Hunt, L. P., & Shield, J. P. H. (2009) · BMJ · doi:10.1136/bmj.b5388 · Cited by 214
Mobile health 2012
Duggan, M., & Fox, S. (2012) · Issue Lab (Candid) · Cited by 199
Human-Computer Interaction – INTERACT 2011
Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P. A., & Winckler, M. A. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23768-3 · Cited by 192
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Begole, B., & McDonald, D. W. (2008) · doi:10.1145/1460563 · Cited by 191
Alarming visual display monitors affecting shower end use water and energy conservation in Australian residential households
Willis, R. M., Stewart, R. A., Panuwatwanich, K., Jones, S., & Kyriakides, A. (2010) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2010.03.004 · Cited by 186
How to increase reach and adherence of web-based interventions: a design research viewpoint
Ludden, G. D., van Rompay, T. J., Kelders, S. M., & van Gemert-Pijnen, J. E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4201 · Cited by 185
Tailored Health Communication to Change Lifestyle Behaviors
Noar, S. M., Grant Harrington, N., Van Stee, S. K., & Shemanski Aldrich, R. (2011) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610387255 · Cited by 183
Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors, Environmental Attitudes and Policy
Millock, K. E., & Nauges, C. (2010) · Environmental and Resource Economics · doi:10.1007/s10640-010-9360-y · Cited by 177
The role of action control in implementing intentions during the first weeks of behaviour change
Sniehotta, F. F., Nagy, G., Scholz, U., & Schwarzer, R. (2006) · British Journal of Social Psychology · doi:10.1348/014466605x62460 · Cited by 175
Assessing eco-feedback interface usage and design to drive energy efficiency in buildings
Jain, R. K., Taylor, J. E., & Peschiera, G. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2011.12.033 · Cited by 172
The impact of feedback frequency on learning and task performance: Challenging the “more is better” assumption
Lam, C. F., DeRue, D. S., Karam, E. P., & Hollenbeck, J. R. (2011) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2011.05.002 · Cited by 172
Designing beyond habit: opening space for improved recycling and food waste behaviors through processes of persuasion, social influence and aversive affect
Comber, R., & Thieme, A. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-012-0587-1 · Cited by 170
CHI '12 Extended Abstracts on Human Factors in Computing Systems
(2012) · doi:10.1145/2212776 · Cited by 168
From Technical Rationality to reﬂection-in-action
Schön, D. A. (2001) · Routledge eBooks · doi:10.4324/9780203996287-7 · Cited by 163
The Comparison of a Technology‐Based System and an In‐Person Behavioral Weight Loss Intervention
Pellegrini, C. A., Verba, S. D., Otto, A. D., Helsel, D. L., Davis, K. K., & Jakicic, J. M. (2012) · Obesity · doi:10.1038/oby.2011.13 · Cited by 155
Negotiating everyday life: The role of energy and water consumption feedback
Strengers, Y. (2011) · Journal of Consumer Culture · doi:10.1177/1469540511417994 · Cited by 154
Toward a persuasive mobile application to reduce sedentary behavior
van Dantzig, S., Geleijnse, G., & van Halteren, A. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-012-0588-0 · Cited by 150
Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games?
Jake‐Schoffman, D. E., Turner‐McGrievy, G. M., Jones, S. J., & Wilcox, S. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0206-3 · Cited by 145
Designing motivation using persuasive ambient mirrors
Nakajima, T., & Lehdonvirta, V. (2011) · Personal and Ubiquitous Computing · doi:10.1007/s00779-011-0469-y · Cited by 141
Fighting self-control failure: Overcoming ego depletion by increasing self-awareness
Alberts, H. J. E. M., Martijn, C., & de Vries, N. K. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2010.08.004 · Cited by 139
Effects of a Web-Based Tailored Multiple-Lifestyle Intervention for Adults: A Two-Year Randomized Controlled Trial Comparing Sequential and Simultaneous Delivery Modes
Schulz, D. N., Kremers, S., Vandelanotte, C., van Adrichem, M. J., Schneider, F., Candel, M. J. J. M., & de Vries, H. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3094 · Cited by 135
Using instrumented paper diaries to document self-monitoring patterns in weight loss
Burke, L. E., Sereika, S. M., Music, E., Warziski, M., Styn, M. A., & Stone, A. (2008) · Contemporary Clinical Trials · doi:10.1016/j.cct.2007.07.004 · Cited by 129
A Comparative Study of Three Feedback Devices for Residential Real-Time Energy Monitoring
Alahmad, M. A., Wheeler, P. G., Schwer, A., Eiden, J., & Brumbaugh, A. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2011.2165456 · Cited by 121
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Bylund, M., Juhlin, O., & Fernaeus, Y. (2011) · doi:10.1145/2037373 · Cited by 116
Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback
Rodgers, J., & Bartram, L. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.196 · Cited by 114
Imperfect In-Vehicle Collision Avoidance Warning Systems Can Aid Drivers
Maltz, M., & Shinar, D. (2004) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.2.357.37348 · Cited by 113
"show-me"
Kappel, K., & Grechenig, T. (2009) · doi:10.1145/1541948.1541984 · Cited by 112
The impact of consumers’ feedback preferences on domestic electricity consumption
Vassileva, I., Odlare, M., Wallin, F., & Dahlquist, E. (2012) · Applied Energy · doi:10.1016/j.apenergy.2011.12.067 · Cited by 107
Mitigating driver distraction with retrospective and concurrent feedback
Donmez, B., Boyle, L. N., & Lee, J. D. (2007) · Accident Analysis & Prevention · doi:10.1016/j.aap.2007.09.023 · Cited by 106
Household appropriation of electricity monitors
Wallenborn, G., Orsini, M., & Vanhaverbeke, J. (2011) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2010.00985.x · Cited by 104
Audio or tactile feedback
Hoggan, E. E., Crossan, A., Brewster, S. A., & Kaaresoja, T. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1519045 · Cited by 102
Feedback and the rationing of time and effort among competing tasks.
Northcraft, G. B., Schmidt, A. M., & Ashford, S. J. (2011) · Journal of Applied Psychology · doi:10.1037/a0023221 · Cited by 96
Playful toothbrush
Chang, Y., Lo, J., Huang, C.-J., Hsu, N.-Y., Chu, H.-H., Wang, H.-Y., Chi, P.-Y., & Hsieh, Y. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357115 · Cited by 92
Providing eco-driving feedback to corporate car drivers
Tulusan, J., Staake, T., & Fleisch, E. (2012) · doi:10.1145/2370216.2370250 · Cited by 88
Embodying complexity through movement sonification
Stienstra, J. T., Overbeeke, K., & Wensveen, S. S. A. G. (2011) · doi:10.1145/2037296.2037310 · Cited by 87
Real-time feedback for improving medication taking
Lee, M. L., & Dey, A. K. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557210 · Cited by 86
Persuade him by email, but see her in person: Online persuasion revisited
Guadagno, R. E., & Cialdini, R. B. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2005.08.006 · Cited by 83
An investigation into the use of tactile instructions in snowboarding
Spelmezan, D. (2012) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2371574.2371639 · Cited by 82
Proceedings of the 4th International Conference on Persuasive Technology
(2009) · doi:10.1145/1541948 · Cited by 78
Self-Reported and Actual Savings in a Water Conservation Campaign
Hamilton, L. C. (1985) · Environment and Behavior · doi:10.1177/0013916585173003 · Cited by 68
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
(2014) · doi:10.1145/2540930 · Cited by 64
Domesticating Energy-Monitoring Systems: Challenges and Design Concerns
Sundramoorthy, V., Cooper, G., Linge, N., & Liu, Q. (2011) · IEEE Pervasive Computing · doi:10.1109/mprv.2010.73 · Cited by 59
The Role of Modality in Notification Performance
Warnock, D., Lennon, M., & Brewster, S. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23771-3_43 · Cited by 52
Mobile applications that empower people to monitor their personal health
Connelly, K., Faber, A. M., Rogers, Y., Siek, K. A., & Toscos, T. (2006) · e+i Elektrotechnik und Informationstechnik · doi:10.1007/s00502-006-0326 · Cited by 48
Concealing or Revealing Mobile Medical Devices?
O’Kane, A. A., Rogers, Y., & BLANDFORD, A. E. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702453 · Cited by 47
Exploring Sustainable Practices in Workplace Settings through Visualizing Electricity Consumption
Katzeff, C., Broms, L., Jönsson, L., Westholm, U., & Räsänen, M. (2013) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2501526 · Cited by 47
The Impact of Goal‐Performance Discrepancies, Self‐Efficacy, and Goal Orientation on Upward Goal Revision1
Donovan, J. J., & Hafsteinsson, L. G. (2006) · Journal of Applied Social Psychology · doi:10.1111/j.0021-9029.2006.00054.x · Cited by 44
Proceedings of the 18th Panhellenic Conference on Informatics
(2014) · doi:10.1145/2645791 · Cited by 43
Are you sleeping?
Kim, S., Kientz, J. A., Patel, S., & Abowd, G. D. (2008) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1460563.1460660 · Cited by 42
Persuasion not required Improving our understanding of the sociotechnical context of dietary behavioural change
Maitland, J., Chalmers, M., & Siek, K. A. (2009) · Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth2009.5928 · Cited by 39
The break-time barometer
Kirkham, R., Mellor, S., Green, D., Lin, J.-S., Ladha, K., Ladha, C., Jackson, D., Olivier, P. L., Wright, P., & Plötz, T. (2013) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2493432.2493468 · Cited by 38
Persuasive Technology
van den Broek, E. L., de Kort, Y., Schut, M. H., Tuinenbreijer, K., Westerink, J. H. D. M., IJsselsteijn, W. A., de Kort, Y. A. W., Midden, C., Eggen, B., & van den Hoven, E. (2006) · Lecture notes in computer science · doi:10.1007/11755494 · Cited by 37
Is wearing a pedometer associated with higher physical activity among adolescents?
Ho, V., Simmons, R. K., Ridgway, C. L., van Sluijs, E. M. F., Bamber, D. J., Goodyer, I. M., Dunn, V. J., Ekelund, U., & Corder, K. L. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2013.01.015 · Cited by 36
Fast or safe?
Brumby, D. P., Davies, S. C. E., Janssen, C. P., & Grace, J. J. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979009 · Cited by 34
Crosstrainer
Hoggan, E. E., & Brewster, S. A. (2010) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1753326.1753378 · Cited by 31
Impact of Personalised Feedback about Physical Activity on Change in Objectively Measured Physical Activity (the FAB Study): A Randomised Controlled Trial
Godino, J., Watkinson, C., Corder, K. L., Marteau, T. M., Sutton, S. R., Sharp, S. J., Griffin, S. J., & van Sluijs, E. M. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075398 · Cited by 30
PowerSocket
Heller, F., & Borchers, J. (2011) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1979742.1979901 · Cited by 25
The design of a hardware-software platform for long-term energy eco-feedback research
Pereira, L., Quintal, F., Nunes, N., & Berges, M. E. (2012) · ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS) · doi:10.1145/2305484.2305521 · Cited by 25
A Control-Systems Approach to the Self-Regulation of Action
Carver, C. S., & Scheier, M. F. (1985) · Springer eBooks · doi:10.1007/978-3-642-69746-3_11 · Cited by 24
Motivating and achievement-eliciting pop-ups in online environments: A user experience perspective
Bittner, J. V., & Zondervan, R. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.015 · Cited by 23
The effects of feedback on computer workstation posture habits
Epstein, R., Colford, S., Epstein, E., Loye, B., & Walsh, M. (2012) · Work · doi:10.3233/wor-2012-1287 · Cited by 22
Visualizing Energy Consumption of Radiators
Gyllenswärd, M., Gustafsson, A., & Bång, M. (2006) · Lecture notes in computer science · doi:10.1007/11755494_24 · Cited by 22
Effect of weight-loss program using self-weighing twice a day and feedback in overweight and obese subject: A randomized controlled trial
Oshima, Y., Matsuoka, Y., & Sakane, N. (2012) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2012.01.003 · Cited by 22
The stroppy kettle
Cowan, B. R., Bowers, C. P., Beale, R., & Pinder, C. N. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468621 · Cited by 22
Choosing 360: A Guide to Evaluating Multi-rater Feedback Instruments for Management Development
Velsor, E. V., Leslie, J. B., & Fleenor, J. W. (1997) · Cited by 22
Self-powered water meter for direct feedback
Tasic, V., Staake, T., Stiefmeier, T., Tiefenbeck, V., Fleisch, E., & Tröster, G. (2012) · International Conference on the Internet of Things (IoT) · doi:10.1109/iot.2012.6402300 · Cited by 18
Promoting healthy eating to children: a text message ( SMS ) feedback approach
Bech‐Larsen, T., & Grønhøj, A. (2012) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2012.01133.x · Cited by 18
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
Forbrig, P., Dewan, P., Harrison, M., & Luyten, K. (2013) · doi:10.1145/2494603 · Cited by 18
Needs analysis and development of a tailored mobile message program linked with electronic health records for weight reduction
Kim, J. Y., Lee, K. H., Kim, S. H., Kim, K. H., Kim, J., Han, J. S., Bang, S. S., Shin, J. H., Kim, S. H., Hwang, E. J., et al. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.08.004 · Cited by 14
The Aesthetics of Reading
Larson, K. (2005) · Cited by 13
Maintaining and modifying pace through tactile and multimodal feedback
Qian, H., Kuber, R., Sears, A., & Murphy, E. (2011) · Interacting with Computers · doi:10.1016/j.intcom.2011.02.007 · Cited by 13
Proceedings of the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction: Facing Complexity
Marti, P., Soro, A., Gamberini, L., & Bagnara, S. (2011) · doi:10.1145/2037296 · Cited by 13
Brush and learn
Bruns, M., Stienstra, J. T., & Dijkstra, R. (2014) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/2540930.2540981 · Cited by 10
Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have?
Tulusan, J., Staake, T., & Fleisch, E. (2012) · International Conference on the Internet of Things (IoT) · doi:10.1109/iot.2012.6402302 · Cited by 9
Time-scheduled delivery of computer health animations: “Installing” healthy habits of computer use
Wang, S., & Chern, J. (2013) · Health Informatics Journal · doi:10.1177/1460458212461492 · Cited by 8
A long-term study of energy eco-feedback using non-intrusive load monitoring
Quintal, F., Pereira, L., & Nunes, N. (2012) · International Conference on Persuasive Technology · Cited by 3
Wiredin
Liu, Y., & Pfaff, M. S. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2581264 · Cited by 3
PowerSocket: Towards On-Outlet Power Consumption Visualization
Heller, F., & Borchers, J. O. (2011) · RWTH Publications (RWTH Aachen) · Cited by 2
A Mobile Shopping Assistant to Support Product Domesticity in Consumer Decisions
Stamopoulos, S.-F., Komninos, A., & Garofalakis, I. (2014) · Panhellenic Conference on Informatics · doi:10.1145/2645791.2645830 · Cited by 1

Flagged first, then by citations

3 of the 158 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

Darby, 2006, The effectiveness of feedback on energy consumption, A Review for DEFRA of the Literature on Metering, Billing and direct Displays, 486, 2006
Maxwell, 2004, Vol. 1

Sorted by citations

Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions
Dinh-Le, C., Chuang, R., Chokshi, S. K., & Mann, D. (2019) · JMIR mhealth and uhealth · doi:10.2196/12861 · Cited by 416
Digital Behaviour Change Interventions to Break and Form Habits
Pinder, C., Vermeulen, J., Cowan, B. R., & Beale, R. (2018) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3196830 · Cited by 235
Exploring consumers’ intention to accept smartwatch
Wu, L.-H., Wu, L.-C., & Chang, S.-C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.005 · Cited by 226
Mapping and Taking Stock of the Personal Informatics Literature
Epstein, D. A., Caldeira, C. M., Figueiredo, M. C., Lu, X., Silva, L. M., Williams, L., Lee, J. H., Li, Q., Ahuja, S., Chen, Q., et al. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3432231 · Cited by 243
Digital Interventions on Healthy Lifestyle Management: Systematic Review
Chatterjee, A., Prinz, A., Gerdes, M. W., & Martínez, S. (2021) · Journal of Medical Internet Research · doi:10.2196/26931 · Cited by 229

See all 194

Authors: Hermsen, S., Frost, J., Renes, R. J., & Kerkhof, P.
Affiliations: University of Applied Sciences Utrecht (NL)
Vrije Universiteit Amsterdam (NL)
Corresponding author: Hermsen, Sander
ORCID: Hermsen, Sander
Renes, Reint Jan
Kerkhof, Peter
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2016-04
Volume: 57
Pages: 61-74
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2015.12.023
OpenAlex: W2203505108
Cited by: 194
References: 158
Citations by year: 2026: 7 · 2025: 18 · 2024: 16 · 2023: 24 · 2022: 25 · 2021: 22 · 2020: 20 · 2019: 25 · 2018: 14 · 2017: 17 · 2016: 6
FWCI: 19.99
Type: journal article
Language: en
Open access: green
surfsharekit.nl
Licence: other-oa
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
VU Research Portal (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
Keywords: habit change, habitual behavior, feedback, digital technologies, self-monitoring, habit disruption, feedback characteristics, sustained behavior change

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks