This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (518) Eating Disorders (75) Artificial Intelligence (1329) Focus Groups and Qualitative Research for Human Factors Research (831) Innovations and Technology for Healthy Eating Education (409) Parent and Child Education on Healthy Eating and Nutrition (167)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27807, first published .
Development of a Positive Body Image Chatbot (KIT) With Young People and Parents/Carers: Qualitative Focus Group Study

Development of a Positive Body Image Chatbot (KIT) With Young People and Parents/Carers: Qualitative Focus Group Study

Development of a Positive Body Image Chatbot (KIT) With Young People and Parents/Carers: Qualitative Focus Group Study

Authors of this article:

Francesca Beilharz1 Author Orcid Image ;   Suku Sukunesan2 Author Orcid Image ;   Susan L Rossell3, 4 Author Orcid Image ;   Jayashri Kulkarni1 Author Orcid Image ;   Gemma Sharp1 Author Orcid Image
Article Authors Cited by (46) Tweetations (78) Metrics

Journals

  1. Chan W, Fitzsimmons-Craft E, Smith A, Firebaugh M, Fowler L, DePietro B, Topooco N, Wilfley D, Taylor C, Jacobson N. The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study. JMIR Formative Research 2022;6(1):e28003 View
  2. Sharp G, Fernando A, Oates J, McEvoy P. Men’s Experiences and Psychological Outcomes of Nonsurgical Medical Penile Girth Augmentation: A Preliminary Prospective Study. Aesthetic Surgery Journal 2023;43(2):181 View
  3. Denecke K, May R. Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis. Journal of Medical Internet Research 2023;25:e41583 View
  4. Sharp G, McLean C. An Australian perspective on “clean” dietary labels: Commentary on Negowetti et al. (2021). International Journal of Eating Disorders 2022;55(1):52 View
  5. Sharp G, Gerrard Y. The body image “problem” on social media: Novel directions for the field. Body Image 2022;41:267 View
  6. Dosovitsky G, Bunge E. Development of a chatbot for depression: adolescent perceptions and recommendations. Child and Adolescent Mental Health 2023;28(1):124 View
  7. Dhinagaran D, Car L. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. DIGITAL HEALTH 2022;8:205520762211311 View
  8. Rodriguez‐Arrastia M, Martinez‐Ortigosa A, Ruiz‐Gonzalez C, Ropero‐Padilla C, Roman P, Sanchez‐Labraca N. Experiences and perceptions of final‐year nursing students of using a chatbot in a simulated emergency situation: A qualitative study. Journal of Nursing Management 2022;30(8):3874 View
  9. Fitzsimmons‐Craft E, Chan W, Smith A, Firebaugh M, Fowler L, Topooco N, DePietro B, Wilfley D, Taylor C, Jacobson N. Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International Journal of Eating Disorders 2022;55(3):343 View
  10. McLean C, Utpala R, Sharp G. The impacts of COVID-19 on eating disorders and disordered eating: A mixed studies systematic review and implications. Frontiers in Psychology 2022;13 View
  11. 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
  12. Fardouly J, Crosby R, Sukunesan S. Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions. Journal of Eating Disorders 2022;10(1) View
  13. Weeks R, Sangha P, Cooper L, Sedoc J, White S, Gretz S, Toledo A, Lahav D, Hartner A, Martin N, Lee J, Slonim N, Bar-Zeev N. Usability and Credibility of a COVID-19 Vaccine Chatbot for Young Adults and Health Workers in the United States: Formative Mixed Methods Study. JMIR Human Factors 2023;10:e40533 View
  14. McLean C, Kulkarni J, Sharp G. The 26-Item Eating Attitudes Test (EAT-26): Psychometric Properties and Factor Structure in Vegetarians and Vegans. Nutrients 2023;15(2):297 View
  15. Aniulis E, Nicholls M, Thomas N, Sharp G. The role of social context in own body size estimations: An investigation of the body schema. Body Image 2022;40:351 View
  16. Aniulis E, Moeck E, Thomas N, Sharp G. The Real Ideal: Misestimation of Body Mass Index. Frontiers in Global Women's Health 2022;3 View
  17. Salamanca-Sanabria A, Jabir A, Lin X, Alattas A, Kocaballi A, Lee J, Kowatsch T, Tudor Car L. Exploring the Perceptions of mHealth Interventions for the Prevention of Common Mental Disorders in University Students in Singapore: Qualitative Study. Journal of Medical Internet Research 2023;25:e44542 View
  18. Graham A, Kosmas J, Massion T. Designing Digital Interventions for Eating Disorders. Current Psychiatry Reports 2023;25(4):125 View
  19. Matheson E, Smith H, Amaral A, Meireles J, Almeida M, Linardon J, Fuller-Tyszkiewicz M, Diedrichs P. Using Chatbot Technology to Improve Brazilian Adolescents’ Body Image and Mental Health at Scale: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e39934 View
  20. Smith A, Ahuvia I, Ito S, Schleider J. Project Body Neutrality: Piloting a digital single‐session intervention for adolescent body image and depression. International Journal of Eating Disorders 2023;56(8):1554 View
  21. Kang A, Hetrick S, Cargo T, Hopkins S, Ludin N, Bodmer S, Stevenson K, Holt-Quick C, Stasiak K. Exploring Young Adults’ Views About Aroha, a Chatbot for Stress Associated With the COVID-19 Pandemic: Interview Study Among Students. JMIR Formative Research 2023;7:e44556 View
  22. Sharp G, Torous J, West M. Ethical Challenges in AI Approaches to Eating Disorders. Journal of Medical Internet Research 2023;25:e50696 View
  23. Wang X, Luo R, Liu Y, Chen P, Tao Y, He Y. Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations. Information Processing & Management 2023;60(5):103444 View
  24. Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
  25. Martin R, Richmond S. Conversational agents for Children's mental health and mental disorders: A scoping review. Computers in Human Behavior: Artificial Humans 2023;1(2):100028 View
  26. Comulada W, Rezai R, Sumstine S, Flores D, Kerin T, Ocasio M, Swendeman D, Fernández M. A necessary conversation to develop chatbots for HIV studies: qualitative findings from research staff, community advisory board members, and study participants. AIDS Care 2024;36(4):463 View
  27. Jabir A, Lin X, Martinengo L, Sharp G, Theng Y, Tudor Car L. Attrition in Conversational Agent–Delivered Mental Health Interventions: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e48168 View
  28. Brännström A, Wester J, Nieves J. A formal understanding of computational empathy in interactive agents. Cognitive Systems Research 2024;85:101203 View
  29. Infant A, A. I, P. N, Li G, Subramaniam U, Sekar M. Parents and teenagers mental health suggestions chatbot using cosine similarity. E3S Web of Conferences 2024;491:03017 View
  30. D’Adamo L, Grammer A, Rackoff G, Shah J, Firebaugh M, Taylor C, Wilfley D, Fitzsimmons‐Craft E. Rates and correlates of study enrolment and use of a chatbot aimed to promote mental health services use for eating disorders following online screening. European Eating Disorders Review 2024;32(4):748 View
  31. Norris M, Obeid N, El‐Emam K. Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders. International Journal of Eating Disorders 2024;57(6):1357 View
  32. Hodson N, Woods P, Sobolev M, Giacco D. A Digital Microintervention Supporting Evidence-Based Parenting Skills: Development Study Using the Agile Scrum Methodology. JMIR Formative Research 2024;8:e54892 View
  33. Mahon C, Hamburger D, Yager Z, O’Dowd O, Webb J, Fitzgerald A. Making it relevant: A codesign and cultural acceptability study of Be Real’s BodyKind Ireland body image programme for older adolescents. Body Image 2024;49:101716 View
  34. Fernando A, Dwyer B, Randhawa A, Sharp G. The co-design and acceptability of a genital body image educational video for people with a penis. Body Image 2024;51:101751 View
  35. Ghosh S, Burger P, Simeunovic-Ostojic M, Maas J, Petković M. Review of machine learning solutions for eating disorders. International Journal of Medical Informatics 2024;189:105526 View
  36. Zhang S, Jaldi C, Schroeder N, Gladstone J. Pedagogical agents in K-12 education: a scoping review. Journal of Research on Technology in Education 2024:1 View
  37. Xian X, Chang A, Xiang Y, Liu M. Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review. Interactive Journal of Medical Research 2024;13:e53672 View
  38. Draganidis A, Fernando A, West M, Sharp G. Social media delivered mental health campaigns and public service announcements: A systematic literature review of public engagement and help-seeking behaviours. Social Science & Medicine 2024;359:117231 View
  39. Maslow G, Chung R, Heilbron N, Walter B. Innovative Approaches to Addressing Pediatric Mental Health. Pediatric Clinics of North America 2024;71(6):1151 View
  40. Roehrer E, Pokawinkoon P, Watters P, Sauer J, Scanlan J. Adolescent-Centric Design of an Online Safety Chatbot. Journal of Computer Information Systems 2024:1 View

Books/Policy Documents

  1. Callejas Z, Fernández-Martínez F, Esposito A, Griol D. Applications of Artificial Intelligence and Neural Systems to Data Science. View