Cited by 206Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsBehavioral Health and Interventions

Automated interventions for multiple health behaviors using conversational agents

Open access
Bickmore, Timothy W., Schulman, Daniel, Sidner, Candace·2013·Patient Education and Counseling

Abstract

Objective An automated health counselor agent was designed to promote both physical activity and fruit and vegetable consumption through a series of simulated conversations with users on their home computers.Methods The agent was evaluated in a 4-arm randomized trial of a two-month daily contact intervention comparing: (a) physical activity; (b) fruit and vegetable consumption; (c) both interventions; and (d) a non-intervention control. Physical activity was assessed using daily pedometer steps. Daily servings of fruit and vegetables were assessed using the NIH/NCI self-report Fruit and Vegetable Scan.Results Participants in the physical activity intervention increased their walking on average compared to the control group, while those in the fruit and vegetable intervention and combined intervention decreased walking. Participants in the fruit and vegetable intervention group consumed significantly more servings per day compared to those in the control group, and those in the combined intervention reported consuming more compared to those in the control group.Conclusion Automated health intervention software designed for efficient re-use is effective at changing health behavior.Practice implications Automated health behavior change interventions can be designed to facilitate translation and adaptation across multiple behaviors.

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Crossref · 10.1016/j.pec.2013.05.011

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  • Several randomized controlled trials of interventions involving embodied conversational agents have shown significant improvements in physical activity, fruit and vegetable consumption, and accessibility to online health information, among other outcomes.

    “Several randomized controlled trials of interventions involving embodied conversational agents have shown significant improvements in physical activity, fruit and vegetable consumption, and accessibility to online health information, among other outcomes.”

    From Conversational agents in healthcare: a systematic review (2018) · cites this paper as [4]

    The Abstract (Methods) describes one randomized trial, not several. The Results (§3.1–3.3) report a significant improvement in fruit and vegetable consumption and faster growth in walking steps for the physical-activity group, but no significant difference in self-reported physical activity. Our copy does not report an outcome concerning accessibility to online health information. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Over the last two decades, a solid body of evidence has shown the potential benefits of using embodied conversational agents for health-related purposes.

    “Over the last two decades, a solid body of evidence has shown the potential benefits of using embodied conversational agents for health-related purposes.”

    From Conversational agents in healthcare: a systematic review (2018) · cites this paper as [4]

    The Results and Discussion report benefits from this conversational-agent intervention, particularly increased fruit and vegetable consumption compared with the control group. The Conclusion also describes the intervention as effective at changing health behavior. The paper does not establish the claim’s broader characterization of a solid body of evidence accumulated over two decades. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Bickmore et al reported that the group with only diet-related intervention consumed significantly more fruits and vegetables than groups which received only physical activity intervention or both physical activity and diet intervention (P=.005); however, there were no significant differences among different groups for weight (P=.37).

    “Bickmore et al [33] reported that the group with only diet-related intervention consumed significantly more fruits and vegetables than the groups which received only physical activity intervention or both physical activity and diet intervention (P=.005); however, there were no significant differences among different groups for weight (P=.37).”

    From Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. (2023) · cites this paper as [33]

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • The theory of motivational interviewing was used to devise interview questions addressed by NAO and motivation reinforcement messages provided by Bickmore et al's Chat1.

    “The theory of motivational interviewing was also used to devise interview questions addressed by NAO [5] (the social robot) and the motivation reinforcement messages provided by Bickmore et al’s [33] Chat1.”

    From Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. (2023) · cites this paper as [33]

    The Introduction states that Bickmore et al.’s conversational-agent interventions drew on elements of motivational interviewing. It does not identify an agent called Chat1 or say that motivational interviewing was used to devise its motivation-reinforcement messages. The NAO portion is cited to a different source and is not assessed here. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • 80% (4/5) of studies reported an increase in physical activity.

    “First, 80% (4/5) of studies [33] reported an increase in physical activity.”

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References 38 · Cited by 206

Research works printed but not linked: 2

  1. [3]Bouchard C Stephens T Physical activity and health: international proceedings and consensus statement 1994 Champaign, IL Human Kinetics
  2. [31]Thompson F Subar A Radimer K Performance of two new cognitively enhanced fruit and vegetable short assessment forms Proceedings of the Fourth International Conference on Dietary Assessment Methods 2000

Authors
Bickmore, T. W., Schulman, D., & Sidner, C.
Affiliations
  • Northeastern University (US)
  • Worcester Polytechnic Institute (US)
Corresponding author
Bickmore, Timothy W.
Venue
Patient Education and Counseling
Publisher
Elsevier BV
Published
2013-08
Volume
92
Issue
2
Pages
142-148
ISSN
0738-3991 (ISSN-L)
OpenAlex
W1997535568
Cited by
206
References
38
Citations by year
2026: 13 · 2025: 23 · 2024: 24 · 2023: 18 · 2022: 23 · 2021: 21 · 2020: 16 · 2019: 21 · 2018: 13 · 2017: 8 · 2016: 8 · 2015: 4 · 2014: 10 · 2013: 3
FWCI
15.02
Type
journal article
Language
en
Open access
Locations
  • Patient Education and Counseling (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • U.S. National Library of Medicine (R21LM008995)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords
chatbots, physical activity, walking, fruit and vegetable intake, health behavior change, pedometers, computer-based intervention
MeSH terms
Adult, Aged, Artificial Intelligence, Computer-Assisted Instruction, Feeding Behavior, Female, Fruit, Health Promotion, Humans, Interviews as Topic, Male, Motor Activity, Outcome and Process Assessment, Health Care, Surveys and Questionnaires, Vegetables, Health Behavior, Walking, Qualitative Research

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