Development and Usability Evaluation of a Healthy Lifestyle Coaching Chatbot Using a Habit Formation Model
Open accessAbstract
OBJECTIVES: It is crucial to find ways to fit regular exercise into the daily lives of office workers. Non-exercise activity thermogenesis has been introduced as an effective form of daily exercise. This study aimed to develop a healthy lifestyle coaching program for office workers, to be delivered using a messenger application. METHODS: The interface was developed using KakaoTalk and Plus Friend. Performance feedback was developed using the IBM Watson conversation program. Twenty office workers used the application for three weeks. Afterward, a survey was conducted to assess the usability of and participants' satisfaction with the application. RESULTS: The application delivered customized push alarms, provided information related to habit formation, allowed for one-on-one chats, and delivered rewards. The satisfaction measurement results for the application showed that extrinsic reward factors contributed the most to the performance of the activity, followed by reminders and intrinsic rewards. Regarding the usability test, the perceived usefulness of the Healthy Lifestyle Coaching Chatbot was highest, followed by the usage intent and the perceived ease of use. CONCLUSIONS: This study found that coaching programs using chatbots can improve the effectiveness of performing simple, repetitive exercises.
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Nursing research has been predominantly focusing on the utilization of chatbots in areas such as mental health, weight management, antenatal education, and electronic fetal monitoring.
“Nursing research has been predominantly focusing on the utilization of chatbots in areas such as mental health [18, 19], weight management [20, 21], antenatal education [22], and electronic fetal monitoring [16].”
From Development and effects of a chatbot education program for self-directed learning in nursing students (2025) · cites this paper as [21]
The Introduction describes the chatbot as an exercise and healthy-lifestyle intervention for office workers and links its activities to preventing further weight gain. The Discussion says the program helped users make walking and stair-climbing habitual. This makes it a related example, but the paper does not describe the chatbot as a weight-management intervention or report weight-management outcomes. (LLM, conf=0.83)
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Cites
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
Deci, E. L., Koestner, R., & Ryan, R. M. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.6.627 · Cited by 7,176 · cited 1× · see citing works
“Although extrinsic rewards elicit motivation at first, they eventually hinder a particular behavior becoming habitual [24].”
BackgroundHow are habits formed: modelling habit formation in the real world
Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010) · European Journal of Social Psychology · doi:10.1002/ejsp.674 · Cited by 2,036 · cited 2× · see citing works
“During the early stages of habit formation, positive experiences related to a new behavior can increase participant effort [17,18].”
BackgroundA new look at habits and the habit-goal interface.
Wood, W., & Neal, D. T. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.843 · Cited by 1,470 · see citing works
Wood, W., & Rünger, D. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033417 · Cited by 1,445 · cited 1× · see citing works
“Habits are defined as “behavioral dispositions to repeat well-practiced actions given recurring circumstances” [3].”
BackgroundGardner, B. (2015) · Health Psychology Review · doi:10.1080/17437199.2013.876238 · Cited by 1,016 · see citing works
Lally, P., & Gardner, B. (2013) · Health Psychology Review · doi:10.1080/17437199.2011.603640 · Cited by 901 · see citing works
Changing circumstances, disrupting habits.
Wood, W., Tam, L., & Witt, M. G. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.88.6.918 · Cited by 678 · see citing works
Making health habitual: the psychology of ‘habit-formation’ and general practice
Gardner, B., Lally, P., & Wardle, J. (2012) · British Journal of General Practice · doi:10.3399/bjgp12x659466 · Cited by 591 · cited 2× · see citing works
“Continuous motivation is key for aspects that are difficult to manage by oneself [5,9]; thus, social network service (SNS) platforms, which enable a continuous relationship with participants and provide motivation and professional advice, have been garnering substantial interest.”
BackgroundDynamics of multiple-goal pursuit.
Louro, M. J., Pieters, R., & Zeelenberg, M. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.93.2.174 · Cited by 465 · see citing works
Exercise habit formation in new gym members: a longitudinal study
Kaushal, N., & Rhodes, R. E. (2015) · Journal of Behavioral Medicine · doi:10.1007/s10865-015-9640-7 · Cited by 285 · see citing works
Powell, A. C., Landman, A., & Bates, D. W. (2014) · JAMA · doi:10.1001/jama.2014.2564 · Cited by 236 · see citing works
Brown, T. J., Avenell, A., Edmunds, L., Moore, H. J., Whittaker, V., Avery, L., Summerbell, C. D., & for the PROGRESS Team (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2009.00641.x · Cited by 181 · see citing works
Non-Exercise Activity Thermogenesis (NEAT)
Levine, J. A. (2004) · Nutrition Reviews · doi:10.1111/j.1753-4887.2004.tb00094.x · Cited by 179 · see citing works
Non-exercise activity thermogenesis (NEAT)
Levine, J. A. (2002) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1053/beem.2002.0227 · Cited by 164 · see citing works
Extracting Chatbot Knowledge from Online Discussion Forums *
Huang, J., Zhou, M., & Yang, D. (2008) · Cited by 163 · see citing works
Karppinen, P., B, H. O.-K. A., Alahäivälä, T., Jokelainen, T., Teeriniemi, A.-M., Salonurmi, T., & Savolainen, M. J. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.06.012 · Cited by 50 · see citing works
Srikesavan, C. S., Williamson, E. M., Cranston, T., Hunter, J., Adams, J., & Lamb, S. E. (2018) · Journal of Medical Internet Research · doi:10.2196/10457 · Cited by 24 · see citing works
Lee, J., & Lee, H. (2017) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2017.47.6.756 · Cited by 17 · see citing works
Self-citationFactors Affecting the Use of the Intelligent Chatbot Services
Lee, M.-S., & Kim, S.-H. (2017) · doi:10.18807/jsrs.2017.7.3.037 · Cited by 3 · see citing works
(ro)Bot as media: An experimental discussion on news chatbot
Oh, S. W. (2016) · Cited by 2 · see citing works
choi, M. J., & Kim, W.-G. (2013) · Gwanggohak yeon-gu/Gwang'gohag yeon'gu · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [20]Eyal N Hooked: how to build habit-forming products London, UK Penguin 2014
Cited by
Sorted by citations
Artificial Intelligence and Public Health: An Exploratory Study
Jungwirth, D., & Haluza, D. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054541 · Cited by 167 · see citing works
Kim, M., Kim, C., Kim, E., & Choi, M. (2021) · JMIR mhealth and uhealth · doi:10.2196/24080 · Cited by 39 · see citing works
Usability Testing of a Social Media Chatbot for Increasing Physical Activity Behavior
Larbi, D., Denecke, K., & Gabarrón, E. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12050828 · Cited by 39 · see citing works
Han, J.-W., Park, J., & Lee, H. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07316-2 · Cited by 28 · see citing works
“Nursing research has been predominantly focusing on the utilization of chatbots in areas such as mental health [18, 19], weight management [20, 21], antenatal education [22], and electronic fetal monitoring [16].”
Self-citationBrown, D., Barrera, A., Ibañez, L., Budassi, I., Murphy, B., Shrestha, P., Salomon-Ballada, S., Kriscovich, J., & Torrente, F. M. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01985-7 · Cited by 22 · see citing works
Sadasivan, C., Cruz, C., Dolgoy, N. D., Hyde, A. M., Campbell, S., McNeely, M. L., Stroulia, E., & Tandon, P. (2023) · Journal of Participatory Medicine · doi:10.2196/45772 · Cited by 16 · see citing works
The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review
Fu, L., Burns, R. D., Xie, Y., Shen, J., Zhe, S., Estabrooks, P. A., & Bai, Y. (2025) · Journal of Medical Internet Research · doi:10.2196/79677 · Cited by 13 · see citing works
Social Media Chatbot for Increasing Physical Activity: Usability Study
Larbi, D., Gabarrón, E., & Denecke, K. (2021) · Studies in health technology and informatics · doi:10.3233/shti210604 · Cited by 13 · see citing works
Quality Assessment Methods for Textual Conversational Interfaces: A Multivocal Literature Review
Coppola, R., & Ardito, L. (2021) · Information · doi:10.3390/info12110437 · Cited by 16 · see citing works
AI-driven nudges: Influence of chatbot personas on consumer food choices
Guo, X., & Wan, X. I. (2025) · Appetite · doi:10.1016/j.appet.2025.108218 · Cited by 9 · see citing works
Correlating Demographics and Well-being among Rural College Students in the Philippines
Villarino, R. T., Villarino, M. L., Temblor, M. C., Bernard, P. M., & Plaisent, M. (2023) · Nurse Media Journal of Nursing · doi:10.14710/nmjn.v13i1.49036 · Cited by 9 · see citing works
Kim, Y., Lee, H., Park, J., Kim, Y., Kim, D. H., & Lee, Y. (2024) · JMIR Formative Research · doi:10.2196/59087 · Cited by 8 · see citing works
Self-citationUsers' Expectations and Practices with Agent Memory
Jones, B., Stemmler, K., Su, E., Kim, Y., & Kuzminykh, A. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720158 · Cited by 8 · see citing works
What Do We Know About Usability Evaluation for Chatbots?: A Systematic Mapping Study
de Carvalho, L. V., Valle, P. H. D., Leifheit, B. R., Rivero, L., Nakamura, W. T., Guerino, G. C., Garcia, R. D. S., & Silva, W. (2024) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.1145/3658271.3658324 · Cited by 8 · see citing works
Kim, M., Kim, E., Lee, H., Piao, M., Rosen, B. L., Allison, J. J., Zai, A., Nguyen, H. L., Shin, D., & Kahn, J. A. (2025) · Asian/Pacific Island Nursing Journal · doi:10.2196/71865 · Cited by 4 · see citing works
Self-citationHalk Sağlığı Hemşireliğinde Yapay Zeka Tabanlı GPT-3’ün Kullanılmasına Yönelik Fizibilite Çalışması
Özsezer, G., & Mermer, G. (2023) · Halk Sağlığı Hemşireliği Dergisi · doi:10.54061/jphn.1263321 · Cited by 3 · see citing works
Bays, D. K., Verble, C., & Verble, K. M. P. (2024) · Strength and conditioning journal · doi:10.1519/ssc.0000000000000831 · Cited by 3 · see citing works
Security and Privacy in Physical Activity Chatbots on Social Media: A Scoping Review
Larbi, D., Gabarrón, E., Zanaboni, P., Wynn, R., Årsand, E., & Denecke, K. (2024) · Studies in health technology and informatics · doi:10.3233/shti240809 · Cited by 1 · see citing works
Villarino, R. T., & Villarino, M. L. (2023) · International Journal of Psychology and Psychoanalysis · doi:10.23937/2572-4037.1510062 · Cited by 2 · see citing works
Jones, B., Ponochevnyi, N., Stemmler, K., Su, E., Kim, Y., & Kuzminykh, A. (2025) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3765766.3765843 · Cited by 1 · see citing works
Digital paradigm of public health
Batmunkh, B., Enkhbat, M., & Erdenebaatar, E. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1793593 · Cited by 1 · see citing works
Roman, M. K., de Oliveira, L. Z., Veiga, J. E., Bellei, E. A., & Marchi, A. C. B. D. (2026) · Healthcare · doi:10.3390/healthcare14121641 · Cited by 1 · see citing works
Human-AI Interaction In Regulating Productivity And Wellbeing
Ekandjo, T. A. T. (2024) · doi:10.26686/wgtn.25377481 · Cited by 2 · see citing works
- Authors
- Piao, M., Kim, J., Ryu, H., & Lee, H.
- Affiliations
- Seoul National University Hospital (KR)
- Seoul National University (KR)
- Gachon University (KR)
- Corresponding author
- Lee, Hyeongsuk
- Venue
- Healthcare Informatics Research
- Published
- 2020-10-31
- Volume
- 26
- Issue
- 4
- Pages
- 255-264
- ISSN
- 2093-3681 (ISSN-L)
- 2093-369X
- PMC
- PMC7674816
- OpenAlex
- W3100468535
- Cited by
- 23
- References
- 22
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 6 · 2023: 5 · 2022: 1 · 2021: 3
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Healthcare Informatics Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- chatbots, habit formation, office workers, non-exercise activity thermogenesis, messaging apps, usability evaluation, extrinsic rewards, reminders, IBM Watson, perceived usefulness, perceived ease of use
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