Applying User-Centered Design Methods to Understand Users' Day-to-Day Experiences Can Inform a Mobile Intervention for Binge Eating and Weight Management
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Introduction: Weight loss apps to date have not directly addressed binge eating. To inform the design of a new mobile behavioral intervention that addresses binge eating and weight management, we applied user-centered design methods to qualitatively assess how target intervention consumers experience these conditions in their day-to-day lives. Methods: The participants were 22 adults with self-reported obesity (body mass index ≥30) and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating. The participants completed a digital diary study, which is a user-centered design technique for capturing individuals' day-to-day experiences in relevant contexts. Qualitative data describing the participants' experiences with binge eating and obesity were analyzed using thematic analysis. The results were then used to create personas (i.e., character archetypes of different intervention consumers). Results: The participants described triggers for binge eating and indicated that binge eating and excess weight negatively impact their mental health, physical health, and quality of life. The resulting personas reflected five different struggles individuals with these health problems experience in managing their binge eating and weight. Conclusions: Individuals with binge eating and obesity have varying precipitants of problematic eating as well as varying motivations for and challenges to behavior change. To meet the needs of all who seek intervention, an ideal intervention design will account for variations in these factors and be relevant to diverse experiences. Insights from the diary study and resulting personas will inform the next phases of the user-centered design process of iteratively designing prototypes and testing the intervention in practice.
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Personas are used in the development of eHealth interventions in several research fields.
“In several research fields, Personas are used in the development of eHealth interventions.”
From Using Personas in the development of eHealth interventions for chronic pain: A scoping review and narrative synthesis (2023) · cites this paper as Graham et al., 2021
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Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Mohr, D. C., Weingardt, K. R., Reddy, M., & Schueller, S. M. (2017) · Psychiatric Services · doi:10.1176/appi.ps.201600541 · Cited by 365 · see citing works
Chick clique: persuasive technology to motivate teenage girls to exercise
Toscos, T., Faber, A., An, S., & Gandhi, M. P. (2006) · CHI '06 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/1125451.1125805 · Cited by 280 · see citing works
A Solution-Focused Research Approach to Achieve an Implementable Revolution in Digital Mental Health
Mohr, D. C., Riper, H., & Schueller, S. M. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3838 · Cited by 204 · cited 2× · see citing works
“Too often, digital health interventions have been designed based on what clinicians think intervention consumers need without sufficiently accounting for what they want (8, 9).”
BackgroundExperimental therapeutics for digital mental health.
Graham, A. K., Lattie, E. G., & Mohr, D. C. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.2075 · Cited by 93 · see citing works
Self-citationNitsch, M., Dimopoulos, C. N., Flaschberger, E., Saffran, K., Kruger, J. F., Garlock, L., Wilfley, D. E., Taylor, C. B., & Jones, M. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4972 · Cited by 87 · see citing works
Smith, K. E., Mason, T. B., Juarascio, A., Schaefer, L. M., Crosby, R. D., Engel, S. G., & Wonderlich, S. A. (2019) · International Journal of Eating Disorders · doi:10.1002/eat.23124 · Cited by 34 · see citing works
Flagged first, then by citations
Research works printed but not linked: 35
- [1]Mitchell JE King WC Courcoulas A Dakin G Elder K Engel S. Eating behavior and eating disorders in adults before bariatric surgery. Int J Eat Disord. (2015) 48: 215– 22. 10.1002/eat.22275 24719222 PMC4192110 · DOI
- [2]Wilfley DE Citrome L Herman BK. Characteristics of binge eating disorder in relation to diagnostic criteria. Neuropsychiatr Dis Treat. (2016) 12: 2213– 23. 10.2147/NDT.S107777 27621631 PMC5010172 · DOI
- [3]Hudson JI Hiripi E Pope HG Kessler RC. The prevalence and correlates of eating disorders in the national comorbidity survey replication. Biol Psychiatry. (2007) 61: 348– 58. 10.1016/j.biopsych.2006.03.040 16815322 PMC1892232 · DOI · Paper page
- [4]Brownley KA Berkman ND Peat CM Lohr KN Cullen KE Bann CM. Binge-eating disorder in adults: a systematic review and meta-analysis. Ann Intern Med. (2016) 165: 409– 20. 10.7326/M15-2455 27367316 PMC5637727 · DOI
- [5]Grilo CM. Psychological and behavioral treatments for binge-eating disorder. J Clin Psychiatry. (2017) 78(Suppl. 1): 20– 4. 10.4088/JCP.sh16003su1c.04 28125175 · DOI
- [6]Davis HA Graham AK Wildes JE. Overview of binge eating disorder. Curr Cardiovasc Risk Rep. (2020) 14: 26. 10.1007/s12170-020-00664-2 · DOI
- [10]Yardley L Spring BJ Riper H Morrison LG Crane DH Curtis K. Understanding and promoting effective engagement with digital behavior change interventions. Am J Prev Med. (2016) 51: 833– 42. 10.1016/j.amepre.2016.06.015 27745683 · DOI · Paper page
- [12]Graham AK Wildes JE Reddy M Munson SA Barr Taylor C Mohr DC. User-centered design for technology-enabled services for eating disorders. Int J Eat Disord. (2019) 52: 1095– 107. 10.1002/eat.23130 31313370 PMC7265747 · DOI
- [13]Norman DA Draper SW. User Centered System Design: New Perspectives on Human-Computer Interaction. Baca Raton, FL: CRC Press (1986).
- [14]Fairburn CG Cooper Z Shafran R. Cognitive behaviour therapy for eating disorders: A “transdiagnostic” theory and treatment. Behav Res Ther. (2003) 41: 509– 28. 10.1016/S0005-7967(02)00088-8 12711261 · DOI · Paper page
- [15]Wilfley DE Hayes JF Balantekin KN Van Buren DJ Epstein LH. Behavioral interventions for obesity in children and adults: evidence base, novel approaches, and translation into practice. Am Psychol. (2018) 73: 981– 93. 10.1037/amp0000293 30394777 PMC6220709 · DOI
- [16]Fairburn CG. Cognitive Behavior Therapy and Eating Disorders. New York, NY: The Guilford Press (2008).
- [17]Kumanyika S Dietz WH. Solving population-wide obesity - progress and future prospects. N Engl J Med. (2020) 383: 2197– 200. 10.1056/NEJMp2029646 33264824 · DOI
- [18]Cooper A Reimann R Cronin D. About Face 3: The Essentials of Interaction Design. Indianapolis: Wiley Publishing, Inc. (1995).
- [19]Flegal KM Ogden CL Fryar C Afful J Klein R Huang DT. Comparisons of self-reported and measured height and weight, bmi, and obesity prevalence from national surveys: 1999-2016. Obesity (Silver Spring). (2019) 27: 1711– 9. 10.1002/oby.22591 31544344 PMC7289317 · DOI
- [20]McGinn J Kotamraju N. Data-driven persona development. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Florence: Association for Computing Machinery (2008). p. 1521– 4.
- [21]Faily S Flechais I. Persona cases: a technique for grounding personas. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Vancouver, BC: Association for Computing Machinery (2011). p. 2267– 70.
- [22]Pruitt J Grudin J. Personas: practice and theory. In: Proceedings of the 2003 Conference on Designing for User Experiences. San Francisco, CA: Association for Computing Machinery (2003). p. 1– 15.
- [23]Colusso L Do T Hsieh G. Behavior change design sprints. In: Proceedings of the 2018 Designing Interactive Systems Conference. Hong Kong: Association for Computing Machinery (2018). p. 791– 803.
- [24]LeRouge C Ma J Sneha S Tolle K. User profiles and personas in the design and development of consumer health technologies. Int J Med Inform. (2013) 82: e251– 68. 10.1016/j.ijmedinf.2011.03.006 21481635 · DOI · Paper page
- [25]Jung H Seo W Cha M. Personas and scenarios to design technologies for North Korean defectors with depression. In: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. Portland, OR: Association for Computing Machinery (2017). p. 215– 8.
- [26]Jansen A Mechelen MV Slegers K. Personas and behavioral theories: a case study using self-determination theory to construct overweight personas. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Denver, CO: ACM (2017). p. 2127– 36.
- [28]Tendedez H McNaney R Ferrario M-A Whittle J editors. Scoping the design space for data supported decision-making tools in respiratory care: needs, barriers and future aspirations. In: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. New York, NY: Association for Computing Machinery (2018).
- [29]Patwardhan M Stoll R Hamel DB Amresh A Gary KA Pina Aeditors. Designing a mobile application to support the indicated prevention and early intervention of childhood anxiety. In: Proceedings of the Conference on Wireless Health. Bethesda, MD: Association for Computing Machinery (2015).
- [30]Miller AD Mynatt EDeditors. StepStream: a school-based pervasive social fitness system for everyday adolescent health. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Toronto, ON: Association for Computing Machinery (2014).
- [31]Jacobs ML Clawson J Mynatt ED editors. My journey compass: a preliminary investigation of a mobile tool for cancer patients. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Toronto, ON: Association for Computing Machinery (2014).
- [32]Altman M Huang TTK Breland JY. Design thinking in health care. Prev Chronic Dis. (2018) 15: E117. 10.5888/pcd15.180128 30264690 PMC6178900 · DOI · Paper page
- [34]Weinheimer EA Chang A Neubert SW Wildes JE Graham AK. Past, current, and future willingness to engage with treatment targets: applying user-centered design to inform the design of a mobile behavioral intervention. Int J Eat Disord. (2020) 53: 611– 7. 10.1002/eat.23252 32112592 PMC7271441 · DOI
- [37]Udo T Grilo CM. Prevalence and correlates of DSM-5-defined eating disorders in a nationally representative sample of U.S. adults. Biol Psychiatry. (2018) 84: 345– 54. 10.1016/j.biopsych.2018.03.014 29859631 PMC6097933 · DOI · Paper page
- [38]Guest G Bunce A Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods. (2006) 18: 59– 82. 10.1177/1525822X05279903 · DOI · Paper page
- [39]Caine K. Local standards for sample size at CHI. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. San Jose, CA: ACM (2016). p. 981– 92.
- [44]Miaskiewicz T Kozar KA. Personas and user-centered design: how can personas benefit product design processes? Design Stud. (2011) 32: 417– 30. 10.1016/j.destud.2011.03.003 · DOI · Paper page
- [45]Neate T Bourazeri A Roper A Stumpf S Wilson S. Co-created personas: engaging and empowering users with diverse needs within the design process. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Glasgow: Association for Computing Machinery (2019). p. Paper 650.
- [46]Fleming T Merry S Stasiak K Hopkins S Patolo T Ruru S. The importance of user segmentation for designing digital therapy for adolescent mental health: findings from scoping processes. JMIR Mental Health. (2019) 6: e12656. 10.2196/12656 31066705 PMC6707580 · DOI
- [48]McDonald N Schoenebeck S Forte A. Reliability and inter-rater reliability in qualitative research: norms and guidelines for CSCW and HCI practice. Proc ACM Hum-Comput Interact. (2019) 3: 72. 10.1145/3359174 · DOI · Paper page
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Bartels, S. L., Taygar, A. S., Johnsson, S. I., Petersson, S., Flink, I., Boersma, K., McCracken, L. M., & Wicksell, R. K. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100619 · Cited by 46 · see citing works
- Authors
- Graham, A. K., Neubert, S. W., Chang, A., Liu, J., Fu, E., Green, E. A., Kornfield, R., & Nicholas, J.
- Affiliations
- Northwestern University (US)
- The University of Melbourne (AU)
- Corresponding author
- Graham, Andrea K.
- ORCID
- Venue
- Frontiers in Digital Health
- Publisher
- Frontiers Media SA
- Published
- 2021-06-04
- Volume
- 3
- Pages
- 651749-651749
- ISSN
- 2673-253X (ISSN-L)
- PMC
- PMC8521863
- OpenAlex
- W3166041206
- Cited by
- 21
- References
- 7
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 3 · 2021: 2
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Digital Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (K01 DK116925)
- National Institute of Mental Health (T32 MH115882)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- binge eating, obesity, weight management, weight loss apps, user-centered design, personas, mental health, quality of life, behavior change
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