Published on in Vol 22 , No 9 (2020) :September

This is a member publication of UC Davis - Shields Library, Davis, CA, USA

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22845, first published .
Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Journals

  1. Davis C, Murphy K, Curtis R, Maher C. A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant. International Journal of Environmental Research and Public Health 2020;17(23):9137 View
  2. Jang M, Jung Y, Kim S. Investigating managers' understanding of chatbots in the Korean financial industry. Computers in Human Behavior 2021;120:106747 View
  3. Siddique S, Chow J. Machine Learning in Healthcare Communication. Encyclopedia 2021;1(1):220 View
  4. Lee Y, Yamashita N, Huang Y. Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a Chatbot. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  5. Asensio-Cuesta S, Blanes-Selva V, Portolés M, Conejero J, García-Gómez J. How the Wakamola chatbot studied a university community’s lifestyle during the COVID-19 confinement. Health Informatics Journal 2021;27(2):146045822110179 View
  6. Müssener U. Digital encounters: Human interactions in mHealth behavior change interventions. DIGITAL HEALTH 2021;7:205520762110297 View
  7. Catellani P, Carfora V, Piastra M. Connecting Social Psychology and Deep Reinforcement Learning: A Probabilistic Predictor on the Intention to Do Home-Based Physical Activity After Message Exposure. Frontiers in Psychology 2021;12 View
  8. Zhou S, Silvasstar J, Clark C, Salyers A, Chavez C, Bull S. An artificially intelligent, natural language processing chatbot designed to promote COVID-19 vaccination: A proof-of-concept pilot study. DIGITAL HEALTH 2023;9:205520762311556 View
  9. To Q, Green C, Vandelanotte C. Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study. JMIR mHealth and uHealth 2021;9(11):e28577 View
  10. Shah J, DePietro B, D'Adamo L, Firebaugh M, Laing O, Fowler L, Smolar L, Sadeh‐Sharvit S, Taylor C, Wilfley D, Fitzsimmons‐Craft E. Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening. International Journal of Eating Disorders 2022;55(9):1229 View
  11. Curiale T, Acquatella F, Gros L, Cosquer M, Tisseron S. L’anthropomorphisme, enjeu de performance pour les chatbots. Revue internationale de psychosociologie et de gestion des comportements organisationnels 2022;Vol. XXVIII(72):101 View
  12. Sasseville M, Barony Sanchez R, Yameogo A, Bergeron-Drolet L, Bergeron F, Gagnon M. Interactive Conversational Agents for Health Promotion, Prevention, and Care: Protocol for a Mixed Methods Systematic Scoping Review. JMIR Research Protocols 2022;11(10):e40265 View
  13. Albers N, Hizli B, Scheltinga B, Meijer E, Brinkman W. Setting Physical Activity Goals with a Virtual Coach: Vicarious Experiences, Personalization and Acceptance. Journal of Medical Systems 2023;47(1) View
  14. Kaelin V, Valizadeh M, Salgado Z, Parde N, Khetani M. Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review. Journal of Medical Internet Research 2021;23(11):e25745 View
  15. Albers N, Neerincx M, Brinkman W, Wang F. Addressing people’s current and future states in a reinforcement learning algorithm for persuading to quit smoking and to be physically active. PLOS ONE 2022;17(12):e0277295 View
  16. Dhinagaran D, Car L. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. DIGITAL HEALTH 2022;8:205520762211311 View
  17. Zidoun Y, Kaladhara S, Powell L, Nour R, Al Suwaidi H, Zary N. Contextual Conversational Agent to Address Vaccine Hesitancy: Protocol for a Design-Based Research Study. JMIR Research Protocols 2022;11(8):e38043 View
  18. Albers N, Neerincx M, Penfornis K, Brinkman W. Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study. PeerJ 2022;10:e13824 View
  19. Akbari M, Foroudi P, Zaman Fashami R, Mahavarpour N, Khodayari M. Let us talk about something: The evolution of e-WOM from the past to the future. Journal of Business Research 2022;149:663 View
  20. Edney S, Chua X, Müller A, Kui K, Müller‐Riemenschneider F. mHealth interventions targeting movement behaviors in Asia: A scoping review. Obesity Reviews 2022;23(4) View
  21. Puspitasari I, Rinawan F, Purnama W, Susiarno H, Susanti A. Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method. Informatics 2022;9(4):88 View
  22. Wlasak W, Zwanenburg S, Paton C. Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment. JMIR Formative Research 2023;7:e38500 View
  23. Denecke K, Abd-Alrazaq A, Househ M, Warren J. Evaluation Metrics for Health Chatbots: A Delphi Study. Methods of Information in Medicine 2021;60(05/06):171 View
  24. Zorrilla A, Torres M. A Multilingual Neural Coaching Model with Enhanced Long-term Dialogue Structure. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  25. Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479 View
  26. Pithpornchaiyakul S, Naorungroj S, Pupong K, Hunsrisakhun J. Using a Chatbot as an Alternative Approach for In-Person Toothbrushing Training During the COVID-19 Pandemic: Comparative Study. Journal of Medical Internet Research 2022;24(10):e39218 View
  27. Wei Y, Simay A, Agárdi I, Syahrivar J, Hofmeister-Tóth Á. Using Artificial Intelligence to Promote Branded Color Cosmetics: Evidence from Indonesia. Journal of Promotion Management 2023;29(5):644 View
  28. Chatterjee A, Prinz A, Gerdes M, Martinez S. Digital Interventions on Healthy Lifestyle Management: Systematic Review. Journal of Medical Internet Research 2021;23(11):e26931 View
  29. Hayotte M, Gioda J, d’Arripe-Longueville F. Effects and Acceptability of Technology-Based Physical Activity Interventions in Bariatric Surgery: a Scoping Review. Obesity Surgery 2022;32(7):2445 View
  30. Calvaresi D, Carli R, Piguet J, Contreras V, Luzzani G, Najjar A, Calbimonte J, Schumacher M. Ethical and legal considerations for nutrition virtual coaches. AI and Ethics 2022 View
  31. Štajer V, Milovanović I, Todorović N, Ranisavljev M, Pišot S, Drid P. Let's (Tik) Talk About Fitness Trends. Frontiers in Public Health 2022;10 View
  32. Larbi D, Denecke K, Gabarron E. Usability Testing of a Social Media Chatbot for Increasing Physical Activity Behavior. Journal of Personalized Medicine 2022;12(5):828 View
  33. Rahmanti A, Yang H, Bintoro B, Nursetyo A, Muhtar M, Syed-Abdul S, Li Y. SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition 2022;9 View
  34. Chang I, Shih Y, Kuo K. Why would you use medical chatbots? interview and survey. International Journal of Medical Informatics 2022;165:104827 View
  35. Oh Y, Zhang J, Fang M, Fukuoka Y. A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  36. Figueroa C, Luo T, Jacobo A, Munoz A, Manuel M, Chan D, Canny J, Aguilera A. Conversational Physical Activity Coaches for Spanish and English Speaking Women: A User Design Study. Frontiers in Digital Health 2021;3 View
  37. Albalawi U, Mustafa M. Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review. International Journal of Environmental Research and Public Health 2022;19(10):5901 View
  38. Aggarwal A, Tam C, Wu D, Li X, Qiao S. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 2023;25:e40789 View
  39. Kudashkina K, Corradini M, Thirunathan P, Yada R, Fraser E. Artificial Intelligence technology in food safety: A behavioral approach. Trends in Food Science & Technology 2022;123:376 View
  40. Yun J, Park J. The Effects of Chatbot Service Recovery With Emotion Words on Customer Satisfaction, Repurchase Intention, and Positive Word-Of-Mouth. Frontiers in Psychology 2022;13 View
  41. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  42. Lee Y, Hwang G, Chen P. Impacts of an AI-based chabot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational technology research and development 2022;70(5):1843 View
  43. Campbell M, Jovanovic M. Conversational Artificial Intelligence: Changing Tomorrow’s Health Care Today. Computer 2021;54(8):89 View
  44. Derigny T, Schnitzler C, Vors O, Huchez A, Gerard T, Mallet S, Gandrieau J, Potdevin F. ‘The teacher could correct me without being there’: Adapting distance education approaches to promote physical activity during lockdown. European Physical Education Review 2023:1356336X2311604 View
  45. Han R, Todd A, Wardak S, Partridge S, Raeside R. Feasibility and Acceptability of Chatbots for Nutrition and Physical Activity Health Promotion Among Adolescents: Systematic Scoping Review With Adolescent Consultation. JMIR Human Factors 2023;10:e43227 View
  46. Wang A, Qian Z, Briggs L, Cole A, Reis L, Trinh Q. The Use of Chatbots in Oncological Care: A Narrative Review. International Journal of General Medicine 2023;Volume 16:1591 View
  47. Au J, Falloon C, Ravi A, Ha P, Le S. User Acceptance Testing for Lucy Liverbot: An Artificial Intelligence Chatbot to Improve Health Literacy in Patients with Decompensated Chronic Liver Disease. SSRN Electronic Journal 2022 View
  48. Iku-Silan A, Hwang G, Chen C. Decision-guided chatbots and cognitive styles in interdisciplinary learning. Computers & Education 2023;201:104812 View
  49. Haque M, Rubya S. An Overview of Chatbot Based Mobile Mental Health Applica-tions: Insights from App Description and User Reviews (Preprint). JMIR mHealth and uHealth 2022 View
  50. Trzebiński W, Claessens T, Buhmann J, De Waele A, Hendrickx G, Van Damme P, Daelemans W, Poels K. The Effects of Expressing Empathy/Autonomy Support Using a COVID-19 Vaccination Chatbot: Experimental Study in a Sample of Belgian Adults. JMIR Formative Research 2023;7:e41148 View
  51. Wu R, Yu Z. Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis. British Journal of Educational Technology 2023 View

Books/Policy Documents

  1. Holowka E, Woods S, Pahayahay A, Roy M, Khalili-Mahani N. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. View
  2. Tsai W, Hsieh Y, Lee C. HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture. View
  3. Félix B, Ribeiro J. Chatbot Research and Design. View
  4. El rhatassi F, El Ghali B, Daoudi N. Proceedings of the 6th International Conference on Big Data and Internet of Things. View
  5. Albers N, Neerincx M, Aretz N, Ali M, Ekinci A, Brinkman W. Persuasive Technology. View