ArticleJournal of medical Internet research2018
Using Relational Agents to Promote Exercise and Sun Protection: Assessment of Participants' Experiences With Two Interventions.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Promoting Physical Activity Through Conversational Agents: Mixed Methods Systematic Review.Journal of medical Internet research · 2021Pooled it
- The Personalization of Conversational Agents in Health Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Chatbot-based interventions for improvement of diet, physical activity, and tobacco use behaviors: protocol for a systematic review.Systematic reviews · 2026Article
- Navigating the design of simulated exercising peers: insights from a participatory design study.Frontiers in digital health · 2025Article
- Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study.JMIR research protocols · 2024Article
- Evaluation of the Current State of Chatbots for Digital Health: Scoping Review.Journal of medical Internet research · 2023Article
- Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review.Journal of medical Internet research · 2023Review
- Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study.JMIR human factors · 2023Article
- Machine Learning in Health Promotion and Behavioral Change: Scoping Review.Journal of medical Internet research · 2022Article
- Effectiveness of a tailored web app on sun protection intentions and its implications for skin cancer prevention: A randomized controlled trial.PLOS digital health · 2022Article
- Article
- Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- Application of 5G network combined with AI robots in personalized nursing in China: A literature review.Frontiers in public health · 2022Review
- Can a monologue-style ECA more effectively motivate eHealth users in initial distress than textual guidance?Heliyon · 2021Article
- Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot.Frontiers in public health · 2021Article
- Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint.Journal of medical Internet research · 2020Article
- Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study.JMIR mHealth and uHealth · 2020Article
- Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review.Journal of medical Internet research · 2020Article
- Assessment of users' acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour.Journal of medical systems · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundRelational agents (RAs) are electronic computational figures designed to engage participants in the change process. A recent study, Project RAISE, tested the effectiveness of RAs, combined with existing computer-based interventions to increase regular exercise and sun protection behaviors. Results showed these interventions can be effective but need further development.
objectiveThe purpose of this study was to examine participants' experiences using RAs to increase participant engagement and promote behavior change .
methodsA qualitative approach was primarily utilized. A 25-question interview guide assessed different components of participants' experiences with the intervention, including motivation, engagement, satisfaction or dissatisfaction, quality of their interaction with the RA, and behavior change. Quantitative assessment of satisfaction was based on a scale of 1 to 10, with 1 representing least satisfied and 10 representing most satisfied. A summative analytic approach was used to assess individuals' qualitative responses. A single analysis of variance (ANOVA) examined levels of satisfaction by gender.
resultsOf the original 1354 participants enrolled in Project RAISE, 490 of 1354 (36%) were assigned to the RA group. A sample of 216 out of 490 (44%) participants assigned to the RA group completed the interventions, and follow-up assessments were contacted to participate in the semistructured interview. A total of 34 out of 216 (16%) completed the interview. Participants were motivated by, and satisfied with, the intervention. Participants viewed the RA as supportive, informative, caring, and reported positive behavior change in both exercise and sun protection. Some participants (15/34, 44%) noted the RA was less judgmental and less "overbearing" compared with a human counselor; other participants (12/34, 35%) said that the interaction was sometimes repetitive or overly general. The majority of participants (22/34, 65%) viewed the RA as an important contributor to their behavior change for exercise, sun protection, or both. Levels of satisfaction ranged between 7 and 10. There were no gender differences noted in levels of satisfaction (P=.51).
conclusionsRAs provide an innovative and attractive platform to increase exercise and sun protection behaviors and potentially other health behaviors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.