Subscribe to RSS
![](/products/assets/desktop/img/oa-logo.png)
DOI: 10.1055/s-0038-1667073
Expanding Human Computer Interaction Methods to Understand User Needs in the Design Process of Personal Health Systems
Publication History
Publication Date:
29 August 2018 (online)
![](https://www.thieme-connect.de/media/10.1055-s-00034612/201801/lookinside/thumbnails/10-1055-s-0038-1667073_siek-1.jpg)
Summary
Objectives: To review innovative human computer interaction methods researchers utilize to identify stakeholders' needs that inform the design of personal health systems outside of clinical environments.
Methods: A selective review of recent literature.
Results: Summaries of exemplar needs analysis papers showing how researchers utilize novel methods to surface the lived experiences of users.
Conclusions: The medical informatics community is encouraged to ensure that we are designing health technology for all individuals - including underrepresented and underserved populations — by investigating the complex needs of target users. This paper summarizes the novel ways researchers have explored target populations via social media and engaged populations as part of the design team. Medical informaticians should continue investigating the soundness of these methods by comparing the design outcomes with currently utilized user-centered methods and to report on unintended consequences
-
References
- 1 Lai AM, Siek KA. Designing and Deploying Mobile Health Interventions. In: Patel V, Kannampallil T, Kaufman D. , editors. Cognitive Informatics for Biomedicine: Human Computer Interaction in Healthcare. Springer; 2015. . p. 279–306
- 2 Jimison HB, Pavel M, Parker A, Mainello K. The Role of Human Computer Interaction in Consumer Health Applications: Current State, Challenges and the Future. In: Patel V, Kannampallil T, Kaufman D. , editors. Cognitive Informatics for Biomedicine: Human Computer Interaction in Healthcare. Springer; 2015. . p. 259–78
- 3 Wachter RM. Perspectives on Safety Published November 2017 In Conversation With. . . Wanda Pratt, PhD; 2017. Podcast: https://psnet.ahrq.gov/perspectives/perspective/236
- 4 Clawson J, Pater JA, Miller AD, Mynatt ED, Mamykina L. No Longer Wearing: Investigating the Abandonment of Personal Health-tracking Technologies on Craigslist. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. UbiComp ’15. New York, NY, USA: ACM; 2015. p. 647–58. Available from: http://doi.acm.rg/10.1145/2750858.2807554
- 5 Dawe M. Desperately seeking simplicity: how young adults with cognitive disabilities and their families adopt assistive technologies. In: Grinter R, Rodden T, Aoki P, Cutrell E, Jeffries R, Olson G. , editors. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY: ACM; 2006. . p. 1143–52
- 6 Lazar A, Koehler C, Tanenbaum J, Nguyen DH. Why We Use and Abandon Smart Devices. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing UbiComp ’15. New York, NY, USA: ACM; 2015. p. 635–46. Available from: http://doi.acm.rg/10.1145/2750858.2804288
- 7 Myantt E, Hager GD, Kumar S, Lin M, Patel S, Stankovic J. , et al. Research Opportunities and Visions for Smart and Pervasive Health. Computing Community Cosortium; 2017. https://cra.org/ccc/wp-content/uploads/sites/2/2017/06/Smartand-PervasiveHealth-White-Paper-June-2017.pdf
- 8 Nielsen J, Molich R. Heuristic Evaluation of User Interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI ’90. New York, NY, USA: ACM; 1990. . p. 249–56. Available from: http://doi.acm.org/10.1145/97243.97281
- 9 Savoy A, Patel H, Flanagan M, Weiner M, Russ A. Systematic Heuristic Evaluation of Computerized Consultation Order Templates: Clinicians’ and Human Factors Engineers’ Perspectives. 2017; 41 (08) 1-9 . Available from: http://dx.doi.org/10.1007/s10916-017-0775-7
- 10 Lai AM, Hsueh PYS, Choi YK, Austin RR. Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data. Yearb Med Inform 2017; Aug; 26 (01) 152-9 . Available from: http://view.ncbi.nlm.nih.gov/pubmed/29063559
- 11 Patterson D, Snyder L, Ullman J. Best Practices Memo: Evaluating Computer Scientists and Engineers for Promotion and Tenure; 1999 September
- 12 MacLeod H, Jelen B, Prabhakar A, Oehlberg L, Siek K, Connelly K. A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations. EAI Endorsed Transactions, Special Issue on Pervasive Health 2016; 2017
- 13 Lazar A, Diaz M, Brewer R, Kim C, Piper AM. Going Gray, Failure to Hire, and the Ick Factor: Analyzing How Older Bloggers Talk About Ageism. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. CSCW ’17. New York, NY, USA: ACM; 2017. . p. 655–68. Available from: http://doi.acm.rg/10.1145/2998181.2998275
- 14 Andalibi N, Ozturk P, Forte A. Sensitive Self-disclosures, Responses, and Social Support on Instagram: The Case of #Depression. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. CSCW ’17. New York, NY, USA: ACM; 2017. . p. 1485–500. Available from: http://doi.acm.rg/10.1145/2998181.2998243
- 15 Pater JA, Haimson OL, Andalibi N, Mynatt ED. “Hunger Hurts but Starving Works”: Characterizing the Presentation of Eating Disorders Online. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. CSCW ’16. New York, NY, USA: ACM; 2016. . p. 1185–200. Available from: http://doi.acm.rg/10.1145/2818048.2820030
- 16 MacLeod H, Bastin G, Liu LS, Siek K, Connelly K. “Be Grateful You Don’T Have a Real Disease”: Understanding Rare Disease Relationships. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. CHI ’17. New York, NY, USA: ACM; 2017. . p. 1660–73. Available from: http://doi.acm.rg/10.1145/3025453.3025796
- 17 MacLeod H, Jelen B, Prabhakar A, Oehlberg L, Siek K, Connelly K. Asynchronous Remote Communities (ARC) for Researching Distributed Populations. In: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth ’16. ICST, Brussels, Belgium, Belgium: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2016. p. 1–8. Acceptance Rate: 35%. Available from: http://dl.acm.org/citation.cfm?id=3021319.3021320
- 18 Prabhakar AS, Guerra-Reyes L, Kleinschmidt VM, Jelen B, MacLeod H, Connelly K. , et al. Investigating the Suitability of the Asynchronous, Remote, Community-based Method for Pregnant and New Mothers. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. CHI ’17. New York, NY, USA: ACM; 2017. . p. 4924–34. Available from: http://doi.acm.rg/10.1145/3025453.3025546
- 19 Hors-Fraile S, Atique S, Mayer MA, Denecke K, Merolli M, Househ M. The Unintended Consequences of Social Media in Healthcare: New Problems and New Solutions. Yearb Med Inform 2016; Nov; 1: 47-52 . Available from: http://view.ncbi.nlm.nih.gov/pubmed/27830230
- 20 Choudhury MD, Kiciman E. The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk. In: Proceedings of the International Conference on Web and Social Media (ICWSM). AAAI; 2017. Available from: https://www.microsoft.com/en-us/research/publication/language-social-support-social-media-effect-suicidal-ideation-risk/
- 21 Park A, Hartzler AL, Huh J, Hsieh G, McDonald DW, Pratt W. “How Did We Get Here?”: Topic Drift in Online Health Discussions. J Medical Internet Res 2016; Nov; 18 (11) e284 . Available from: http://view.ncbi.nlm.nih.gov/pubmed/27806924
- 22 Palen L, Aaløkke S. Of Pill Boxes and Piano Benches: ”Home- made” Methods for Managing Medication. In: Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work. CSCW ’06. New York, NY, USA: ACM; 2006. . p. 79–88. Available from: http://doi.im./10.1145/1180875.1180888
- 23 Lee ML, Dey AK. Real-time Feedback for Improving Medication Taking. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI ’14. New York, NY, USA: ACM; 2014. . p. 2259–68. Available from: http://doi.acm.org/10.1145/2556288.2557210
- 24 Liu LS, Huh J, Neogi T, Inkpen K, Pratt W. Health Vlogger-viewer Interaction in Chronic Illness Management. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI ’13. New York, NY, USA: ACM; 2013. . p. 49–58. Available from: http://doi.acm.org/10.1145/2470654.2470663
- 25 Huh J, Liu LS, Neogi T, Inkpen K, Pratt W. Health Vlogs As Social Support for Chronic Illness Management. ACM Trans Comput-Hum Interact 2014; Aug; 21 (04) 23:1-23:31 . Available from: http://doi.acm.org/10.1145/2630067
- 26 Meier A, Lyons EJ, Frydman G, Forlenza M, Rimer BK. How cancer survivors provide support on cancer-related Internet mailing lists. . J Med Internet Res 2007 May;9(2). Available from: http://view.ncbi.nlm.nih.gov/pubmed/17513283
- 27 Setoyama Y, Yamazaki Y, Namayama K. Benefits of peer support in online Japanese breast cancer communities: differences between lurkers and posters. . J Med Internet Res 2011 Dec;13(4). Available from: http://view.ncbi.nlm.nih.gov/pubmed/22204869
- 28 Lasker JN, Sogolow ED, Sharim RR. The role of an online community for people with a rare disease: content analysis of messages posted on a primary biliary cirrhosis mailinglist. J Med Internet Res 2005; Mar; 7 (01) e10 . Available from: http://dx.doi.org/10.2196/jmir.7.1.e10
- 29 Voida A, Mynatt ED, Erickson T, Kellog WA. Interviewing Over Instant Messaging. In: CHI ’04 EA. ACM; 2004. p. 1344–7
- 30 Dimond JP, Fiesler C, DiSalvo B, Pelc J, Bruckman AS. Qualitative Data Collection Technologies: A Comparison of Instant Messaging, Email, and Phone. In: GROUP ’12. ACM; 2012. p. 277–80
- 31 Hillman S, Forghani A, Pang C, Neustaeder C, Judge TK. Conducting Interviews with Remote Participants. In: Studying and Designing Technology for Domestic Life. Morgan Kaufmann; 2015. p. 11–53
- 32 Prabhakar A, Guerra-Reyes L, Effron A, Kleinschmidt VM, Driscoll M. , et al. “Let Me Know If You Need Anything”: Support Realities of New Mothers. In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ‘17). New York, NY, USA: ACM; 2017. . p.31-40. Available from: https://doi.org/10.1145/3154862.3154863
- 33 Simonsen J, Robertson T. Routledge International Handbook of Participatory Design. 1st ed. New York, NY: Routledge; 2013
- 34 Muller MJ. The Human-computer Interaction Handbook. Hillsdale, NJ, USA: L. Erlbaum Associates Inc.; 2003. . p. 1051–68. Available from: http://dl.acm.org/citation.cfm?id=772072.772138
- 35 Gennari JH, Reddy M. Participatory design and an eligibility screening tool. Proceedings AMIA Symposium; 2000. p. 290–4. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2243801/
- 36 Kusunoki D, Sarcevic A, Zhang Z, Yala M. Sketching Awareness: A Participatory Study to Elicit Designs for Supporting Ad Hoc Emergency Medical Teamwork. Comput Supported Coop Work 2015; Feb; 24 (01) 1-38 . Available from: http://dx.doi.org/10.1007/s10606-014-9210-5
- 37 Pollack AH, Miller A, Mishra SR, Pratt W. PD-atricians: Leveraging Physicians and Participatory Design to Develop Novel Clinical Information Tools. AMIA Annual Symposium proceedings AMIA Symposium 2016; 2016: 1030-9 . Available from: http://view.ncbi.nlm.nih.gov/pubmed/28269900
- 38 Marcu G, Dowshen N, Saha S, Sarreal RR, Andalibi N. TreatYoSelf: Empathy-driven Behavioral Intervention for Marginalized Youth Living with HIV. In: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth ’16. ICST, Brussels, Belgium, Belgium: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2016. . p. 69–76. Available from: http://dl.acm.org/citation.cfm?id=3021319.3021330
- 39 Pina LR, Sien SW, Ward T, Yip JC, Munson SA, Fogarty J. , et al. From Personal Informatics to Family Informatics: Understanding Family Practices Around Health Monitoring. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. CSCW ’17. New York, NY, USA: ACM; 2017. . p. 2300–15. Available from: http://doi.acm.org/10.1145/2998181.2998362
- 40 Barry M, Doherty K, Marcano Belisario J, Car J, Morrison C, Doherty G. mHealth for Maternal Mental Health: Everyday Wisdom in Ethical Design. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. CHI ’17. New York, NY, USA: ACM; 2017. . p. 2708–56. Available from: http://doi.acm.org/10.1145/3025453.3025918
- 41 Unertl KM, Schaefbauer CL, Campbell TR, Senteio C, Siek KA, Bakken S. , et al. Integrating Community-Based Participatory Research and Informatics Approaches to Improve the Engagement and Health of Underserved Populations. J Am Med Inform Assoc 2016; 23 (01) 60-73 . Available from: http://dx.doi.org/10.1093/jamia/ocv094
- 42 Norton MI, Mochon D, Ariely D. The ‘IKEA Effect’: When Labor Leads to Love. Harvard Business School Marketing Unit; 2011;11(091)
- 43 Garvie C, Frankle J. Facial-Recognition Software Might Have a Racial Bias Problem. In: The Atlantic. https://www.theatlantic.com/technology/archive/2016/04/the-underlying-bias-of-facial-recognition-systems/476991/ ; 2016. Accessed: 28 December 2017
- 44 Sweeney L. Discrimination in online ad delivery. Commun ACM 2013; 56 (05) 44-54 . Available from: http://doi.acm.rg/10.1145/2447976.2447990
- 45 Kientz JA, Huh J, Marcu G, Pina L. Workshop on Interactive Systems in Healthcare (WISH). In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. CHI EA ’17. New York, NY, USA: ACM; 2017. . p. 3059–64. Available from: http://doi.acm.org/10.1145/3027063.3108900
- 46 Christophersen M, Mørck P, Langhoff TO, Bjørn P. Unforeseen Challenges - Adopting Wearable Health Data Tracking Devices to Reduce Health Insurance Costs in Organizations. In: Universal Access in Human- Computer Interaction. Access to Learning, Health and Well-Being - 9th International Conference, UAHCI 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part III; 2015. p. 288–99. Available from: https://doi.org/10.1007/978-3-319-20684-428
- 47 Braunstein A, Granka L, Staddon J. Indirect Content Privacy Surveys: Measuring Privacy Without Asking About It. In: Proceedings of the Seventh Symposium on Usable Privacy and Security. SOUPS ’11. New York, NY, USA: ACM; 2011. . p. 15:1–15:14. Available from: http://doi.acm.org/10.1145/2078827.2078847