skip to main content
research-article
Open access

Ask the Users: A Case Study of Leveraging User-Centered Design for Designing Just-in-Time Adaptive Interventions (JITAIs)

Published: 07 July 2022 Publication History

Abstract

Just-in-Time Adaptive Interventions (JITAIs) are envisioned to harness rich data on users' contexts. However, many JITAIs fall short in leveraging the value of the data while sculpting the interventions. Investigating the literature reveals a lack of user-centered design (UCD) methods in designing JITAIs. Our case study of applying a UCD process revealed that even without deploying a JITAI, UCD could uncover user interactions that inform critical design decisions of a JITAI's components. We reflect on our experiences engaging in a user-centered JITAI design process and urge the broader human-computer interaction (HCI) community to devise concrete design guidelines for JITAIs. We take the first step toward that goal by proposing a checklist of key design considerations for future JITAIs. Together, this case study contributes insights on applying UCD to the design of all components of a JITAI, which can help capture users' needs and provide actionable interventions.

References

[1]
Gregory D Abowd, Christopher G Atkeson, Jason Hong, Sue Long, Rob Kooper, and Mike Pinkerton. 1997. Cyberguide: A mobile context-aware tour guide. Wireless networks 3, 5 (1997), 421--433. https://doi.org/10.1023/A:1019194325861
[2]
Albert Bandura. 1977. Self-efficacy: toward a unifying theory of behavioral change. Psychological review 84, 2 (1977), 191. https://doi.org/10.1037/0033-295X.84.2.191
[3]
Azziza Bankole, Martha S. Anderson, Nutta Homdee, Ridwan Alam, Ashley Lofton, Nykesha Fyffe, Hilda Goins, Temple Newbold, Tonya Smith-Jackson, and John Lach. 2020. BESI: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment---Phases 1 and 2. American Journal of Alzheimer's Disease & Other Dementia 35 (jan 2020), 153331752090668. https://doi.org/10.1177/1533317520906686
[4]
Bastiaan Boh, Lotte HJM Lemmens, Anita Jansen, Chantal Nederkoorn, Vincent Kerkhofs, Gerasimos Spanakis, Gerhard Weiss, and Anne Roefs. 2016. An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial. Trials 17, 1 (2016), 154. https://doi.org/10.1186/s13063-016-1280-x
[5]
Kate L Brookie, Louise A Mainvil, Anitra C Carr, Margreet CM Vissers, and Tamlin S Conner. 2017. The development and effectiveness of an ecological momentary intervention to increase daily fruit and vegetable consumption in low-consuming young adults. Appetite 108 (2017), 32--41. https://doi.org/10.1016/j.appet.2016.09.015
[6]
Brandon Brown, Marshini Chetty, Andrea Grimes, and Ellie Harmon. 2006. Reflecting on health: a system for students to monitor diet and exercise. In CHI'06 extended abstracts on Human factors in computing systems. 1807--1812. https://doi.org/10.1145/1125451.1125794
[7]
Christian Jules Cerrada, Eldin Dzubur, Kacie C.A. Blackman, Vickie Mays, Steven Shoptaw, and Jimi Huh. 2017. Development of a Just-in-Time Adaptive Intervention for Smoking Cessation Among Korean American Emerging Adults. International Journal of Behavioral Medicine 24, 5 (oct 2017), 665--672. https://doi.org/10.1007/s12529-016-9628-x
[8]
Christian Jules Cerrada, Chaelin Karen Ra, Hee Sung Shin, Eldin Dzubur, and Jimi Huh. 2016. Using Ecological Momentary Assessment to Identify Common Smoking Situations Among Korean American Emerging Adults. Prevention Science 17, 7 (oct 2016), 892--902. https://doi.org/10.1007/s11121-016-0687-7
[9]
June M Chan, Crystal N Holick, Michael F Leitzmann, Eric B Rimm, Walter C Willett, Meir J Stampfer, and Edward L Giovannucci. 2006. Diet after diagnosis and the risk of prostate cancer progression, recurrence, and death (United States). Cancer Causes & Control 17 (2006), 199--208. https://doi.org/10.1007/s10552-005-0413-4
[10]
Samantha WT Chan, Shardul Sapkota, Rebecca Mathews, Haimo Zhang, and Suranga Nanayakkara. 2020. Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1--23. https://doi.org/10.1145/3432190
[11]
Lucas Colusso, Cynthia L Bennett, Gary Hsieh, and Sean A Munson. 2017. Translational resources: Reducing the gap between academic research and HCI practice. In Proceedings of the 2017 Conference on Designing Interactive Systems. 957--968. https://doi.org/10.1145/3064663.3064667
[12]
Lucas Colusso, Ridley Jones, Sean A. Munson, and Gary Hsieh. 2019. A Translational Science Model for HCI. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3290605.3300231
[13]
I Marion de Sumari-de Boer, Jossy van den Boogaard, Kennedy M Ngowi, Hadija H Semvua, Krisanta W Kiwango, Rob E Aarnoutse, Pythia T Nieuwkerk, and Gibson S Kibiki. 2016. Feasibility of real time medication monitoring among HIV infected and TB patients in a resource-limited setting. AIDS and Behavior 20, 5 (2016), 1097--1107. https://doi.org/10.1007/s10461-015-1254-0
[14]
Anind K Dey. 2018. Context-Aware Computing. In Ubiquitous computing fundamentals. Chapman and Hall/CRC, 335--366.
[15]
Anind K Dey, Raffay Hamid, Chris Beckmann, Ian Li, and Daniel Hsu. 2004. a CAPpella: programming by demonstration of context-aware applications. In Proceedings of the SIGCHI conference on Human factors in computing systems. 33--40. https://doi.org/10.1145/985692.985697
[16]
Anind K Dey, Timothy Sohn, Sara Streng, and Justin Kodama. 2006. iCAP: Interactive prototyping of context-aware applications. In International conference on pervasive computing. Springer, 254--271. https://doi.org/10.1007/11748625_16
[17]
Paul Dourish. 2004. What we talk about when we talk about context. Personal and ubiquitous computing 8, 1 (2004), 19--30. https://doi.org/10.1007/s00779-003-0253-8
[18]
Sherine El-Toukhy and Inbal Nahum-Shani. 2014. The JITAI Code: A Primer on Just-In-Time-Adaptive Interventions. Wiley StatsRef: Statistics Reference Online (2014), 1--9. https://doi.org/10.1002/9781118445112.stat08192
[19]
Daniel A Epstein, Clara Caldeira, Mayara Costa Figueiredo, Xi Lu, Lucas M Silva, Lucretia Williams, Jong Ho Lee, Qingyang Li, Simran Ahuja, Qiuer Chen, et al. 2020. Mapping and taking stock of the personal informatics literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1--38. https://doi.org/10.1145/3432231
[20]
Daniel A Epstein, Parisa Eslambolchilar, Judy Kay, Jochen Meyer, and Sean A Munson. 2021. Opportunities and Challenges for Long-Term Tracking. In Advances in Longitudinal HCI Research. Springer, 177--206. https://doi.org/10.1007/978-3-030-67322-2_9
[21]
Gerhard Fischer. 2012. Context-aware systems: the'right'information, at the'right'time, in the'right'place, in the'right'way, to the'right'person. In Proceedings of the international working conference on advanced visual interfaces. 287--294. https://doi.org/10.1145/2254556.2254611
[22]
Evan M Forman, Stephanie P Goldstein, Fengqing Zhang, Brittney C Evans, Stephanie M Manasse, Meghan L Butryn, Adrienne S Juarascio, Pramod Abichandani, Gerald J Martin, and Gary D Foster. 2019. OnTrack: Development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Translational behavioral medicine 9, 2 (2019), 236--245. https://doi.org/10.1093/tbm/iby016
[23]
Evan M Forman, Leah M Schumacher, Ross Crosby, Stephanie M Manasse, Stephanie P Goldstein, Meghan L Butryn, Emily P Wyckoff, and J Graham Thomas. 2017. Ecological momentary assessment of dietary lapses across behavioral weight loss treatment: characteristics, predictors, and relationships with weight change. Annals of Behavioral Medicine 51, 5 (2017), 741--753. https://doi.org/10.1007/s12160-017-9897-x
[24]
Giuseppe Ghiani, Marco Manca, Fabio Paternò, and Carmen Santoro. 2017. Personalization of Context-Dependent Applications Through Trigger-Action Rules. ACM Trans. Comput.-Hum. Interact. 24, 2 (2017). https://doi.org/10.1145/3057861
[25]
Nanna Gorm and Irina Shklovski. 2019. Episodic use: Practices of care in self-tracking. new media & society 21, 11-12 (2019), 2505--2521. https://doi.org/10.1177/1461444819851239
[26]
Jessica E Haberer, Angella Musiimenta, Esther C Atukunda, Nicholas Musinguzi, Monique A Wyatt, Norma C Ware, and David R Bangsberg. 2016. Short message service (SMS) reminders and real-time adherence monitoring improve antiretroviral therapy adherence in rural Uganda. AIDS (London, England) 30, 8 (2016), 1295. https://doi.org/10.1097/QAD.0000000000001021
[27]
Emily T Hébert, Chaelin K Ra, Adam C Alexander, Angela Helt, Rachel Moisiuc, Darla E Kendzor, Damon J Vidrine, Rachel K Funk-Lawler, and Michael S Businelle. 2020. A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial. Journal of medical Internet research 22, 3 (mar 2020), e16907. https://doi.org/10.2196/16907
[28]
Jaimee L Heffner, Noreen L Watson, Edit Serfozo, Kristin E Mull, Laura MacPherson, Melissa Gasser, and Jonathan B Bricker. 2019. A Behavioral Activation Mobile Health App for Smokers With Depression: Development and Pilot Evaluation in a Single-Arm Trial. JMIR formative research 3, 4 (2019), e13728. https://doi.org/10.2196/13728
[29]
Sharon J. Herring, Jessica J. Albert, Niesha Darden, Brooke Bailer, Jane Cruice, Sarmina Hassan, Gary G. Bennett, Laura Goetzl, Daohai Yu, Linda M. Kilby, and Gary D. Foster. 2019. Targeting pregnancy-related weight gain to reduce disparities in obesity: Baseline results from the Healthy Babies trial. Contemporary Clinical Trials 87 (dec 2019). https://doi.org/10.1016/j.cct.2019.105822
[30]
Xia Jin, Hongyi Wang, Hang Li, Zhenxing Chu, Jing Zhang, Qinghai Hu, Wei Lv, Xiaojie Huang, Yaokai Chen, Hui Wang, et al. 2020. Real-time monitoring and just-in-time intervention for adherence to pre-exposure prophylaxis among men who have sex with men in China: a multicentre RCT study protocol. BMC Public Health 20, 1 (2020), 1--7. https://doi.org/10.1186/s12889-020-08709-2
[31]
Adrienne S Juarascio, Megan N Parker, Madeline A Lagacey, and Kathryn M Godfrey. 2018. Just-in-time adaptive interventions: A novel approach for enhancing skill utilization and acquisition in cognitive behavioral therapy for eating disorders. International Journal of Eating Disorders 51, 8 (2018), 826--830. https://doi.org/10.1002/eat.22924
[32]
Kazi Sinthia Kabir, Alexandra Flis, Melody Mickens, Stephen K Trapp, and Jason Wiese. 2022. "We're Not Meant to Deal with Crisis for a Year": Supporting Frontline Healthcare Providers' Wellness During a Pandemic: Supporting Frontline Healthcare Providers' Wellness During a Pandemic. In International Conference on Pervasive Computing Technologies for Healthcare. Springer, 147--163. https://doi.org/10.1007/978-3-030-99194-4_11
[33]
Kazi Sinthia Kabir, Erin L. Van Blarigan, June M. Chan, Stacey A. Kenfield, and Jason Wiese. 2019. "I'm Done with Cancer. What Am I Trying to Improve?": Understanding the Perspective of Prostate Cancer Patients to Support Multiple Health Behavior Change. In Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (Trento, Italy) (PervasiveHealth'19). Association for Computing Machinery, New York, NY, USA, 81--90. https://doi.org/10.1145/3329189.3329207
[34]
Stacey A Kenfield, Meir J Stampfer, Edward Giovannucci, and June M Chan. 2011. Physical activity and survival after prostate cancer diagnosis in the health professionals follow-up study. Journal of Clinical Oncology 29 (2011). https://doi.org/10.1200/JCO.2010.31.5226
[35]
Stacey A Kenfield, Erin L Van Blarigan, Natalie DuPre, Meir J Stampfer, Edward L Giovannucci, and June M Chan. 2015. Selenium supplementation and prostate cancer mortality. JNCI: Journal of the National Cancer Institute 107, 1 (2015). https://doi.org/10.1093/jnci/dju360
[36]
Susanne Kirchner, Jessica Schroeder, James Fogarty, and Sean A Munson. 2021. "They don't always think about that": Translational Needs in the Design of Personal Health Informatics Applications. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1--16. https://doi.org/10.1145/3411764.3445587
[37]
Predrag Klasnja, Shawna Smith, Nicholas J Seewald, Andy Lee, Kelly Hall, Brook Luers, Eric B Hekler, and Susan A Murphy. 2019. Efficacy of contextually tailored suggestions for physical activity: a micro-randomized optimization trial of HeartSteps. Annals of Behavioral Medicine 53, 6 (2019), 573--582. https://doi.org/10.1093/abm/kay067
[38]
Florian Künzler, Varun Mishra, Jan-Niklas Kramer, David Kotz, Elgar Fleisch, and Tobias Kowatsch. 2019. Exploring the State-of-Receptivity for mHealth Interventions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 4 (2019), 1--27. https://doi.org/10.1145/3369805
[39]
Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI conference on human factors in computing systems. 557--566. https://doi.org/10.1145/1753326.1753409
[40]
Jochen Meyer, Merlin Wasmann, Wilko Heuten, Abdallah El Ali, and Susanne CJ Boll. 2017. Identification and classification of usage patterns in long-term activity tracking. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 667--678. https://doi.org/10.1145/3025453.3025690
[41]
Andre Matthias Müller, Ann Blandford, and Lucy Yardley. 2017. The conceptualization of a Just-In-Time Adaptive Intervention (JITAI) for the reduction of sedentary behavior in older adults. Mhealth 3 (2017). https://doi.org/10.21037/mhealth.2017.08.05
[42]
Sean A Munson and Sunny Consolvo. 2012. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. PervasiveHealth 2012 (2012), 2532. https://doi.org/10.4108/icst.pervasivehealth.2012.248691
[43]
Elizabeth L Murnane, Tara G Walker, Beck Tench, Stephen Voida, and Jaime Snyder. 2018. Personal informatics in interpersonal contexts: towards the design of technology that supports the social ecologies of long-term mental health management. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 1--27. https://doi.org/10.1145/3274396
[44]
Inbal Nahum-Shani, Shawna N Smith, Bonnie J Spring, Linda M Collins, Katie Witkiewitz, Ambuj Tewari, and Susan A Murphy. 2018. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine 52, 6 (2018), 446--462. https://doi.org/10.1007/s12160-016-9830-8
[45]
Felix Naughton, Sue Cooper, Katharine Foster, Joanne Emery, Jo Leonardi-Bee, Stephen Sutton, Matthew Jones, Michael Ussher, Rachel Whitemore, Matthew Leighton, Alan Montgomery, Steve Parrott, and Tim Coleman. 2017. Large multi-centre pilot randomized controlled trial testing a low-cost, tailored, self-help smoking cessation text message intervention for pregnant smokers (MiQuit). Addiction 112, 7 (jul 2017), 1238--1249. https://doi.org/10.1111/add.13802
[46]
Felix Naughton, Sarah Hopewell, Neal Lathia, Rik Schalbroeck, Chloë Brown, Cecilia Mascolo, Andy McEwen, and Stephen Sutton. 2016. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 4, 3 (sep 2016), e106. https://doi.org/10.2196/mhealth.5787
[47]
Stephanie W Ong, Sarbjit V Jassal, Judith A Miller, Eveline C Porter, Joseph A Cafazzo, Emily Seto, Kevin E Thorpe, and Alexander G Logan. 2016. Integrating a smartphone-based self-management system into usual care of advanced CKD. Clinical Journal of the American Society of Nephrology 11, 6 (2016), 1054--1062. https://doi.org/10.2215/CJN.10681015
[48]
Christabel Owens, Paul Farrand, Ruth Darvill, Tobit Emmens, Elaine Hewis, and Peter Aitken. 2011. Involving service users in intervention design: a participatory approach to developing a text-messaging intervention to reduce repetition of self-harm. Health Expectations 14, 3 (2011), 285--295. https://doi.org/10.1111/j.1369-7625.2010.00623.x
[49]
Gaurav Paruthi, Shriti Raj, Natalie Colabianchi, Predrag Klasnja, and Mark W Newman. 2018. Finding the Sweet Spot(s): Understanding Context to Support Physical Activity Plans. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 1 (2018), 1--17. https://doi.org/10.1145/3191761
[50]
John D. Piette, Dana Striplin, Lawrence Fisher, James E. Aikens, Aaron Lee, Nicolle Marinec, Madhura Mansabdar, Jenny Chen, Lynn A. Gregory, and Christopher S. Kim. 2020. Effects of Accessible Health Technology and Caregiver Support Posthospitalization on 30-Day Readmission Risk: A Randomized Trial. Joint Commission Journal on Quality and Patient Safety 46, 2 (feb 2020), 109--117. https://doi.org/10.1016/j.jcjq.2019.10.009
[51]
Laura Pina, Sang-Wha Sien, Clarissa Song, Teresa M Ward, James Fogarty, Sean A Munson, and Julie A Kientz. 2020. DreamCatcher: Exploring how parents and school-age children can track and review sleep information together. Proceedings of the ACM on Humancomputer Interaction 4, CSCW1 (2020), 1--25. https://doi.org/10.1145/3392882
[52]
Laura R Pina, Sang-Wha Sien, Teresa Ward, Jason C Yip, Sean A Munson, James Fogarty, and Julie A Kientz. 2017. 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. 2300--2315. https://doi.org/10.1145/2998181.2998362
[53]
Bastien Presset, Jan-Niklas Kramer, Tobias Kowatsch, and Fabien Ohl. 2020. The social meaning of steps: user reception of a mobile health intervention on physical activity. Critical Public Health (feb 2020), 1--12. https://doi.org/10.1080/09581596.2020.1725445
[54]
I Wayan Pulantara. 2016. Model, Architecture And Application of Cross-platform Just-in-Time Adaptive Intervention (JITAI): An Implementation in Behavioral Sleep Intervention. (jan 2016). http://d-scholarship.pitt.edu/id/eprint/30549
[55]
Mashfiqui Rabbi, Katherine Li, H Yanna Yan, Kelly Hall, Predrag Klasnja, and Susan Murphy. 2019. ReVibe: A context-assisted evening recall approach to improve self-report adherence. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 4 (2019), 1--27. https://doi.org/10.1145/3369806
[56]
Benjamin C Riordan, Tamlin S Conner, Jayde AM Flett, and Damian Scarf. 2017. A text message intervention to reduce first year university students' alcohol use: A pilot experimental study. DIGITAL HEALTH 3 (jan 2017), 205520761770762. https://doi.org/10.1177/2055207617707627
[57]
Jason D Runyan, Timothy A Steenbergh, Charles Bainbridge, Douglas A Daugherty, Lorne Oke, and Brian N Fry. 2013. A smartphone ecological momentary assessment/intervention "app" for collecting real-time data and promoting self-awareness. PLoS One 8, 8 (2013). https://doi.org/10.1371/journal.pone.0071325
[58]
Susan M Schembre, Yue Liao, Michael C Robertson, Genevieve Fridlund Dunton, Jacqueline Kerr, Meghan E Haffey, Taylor Burnett, Karen Basen-Engquist, and Rachel S Hicklen. 2018. Just-in-time feedback in diet and physical activity interventions: systematic review and practical design framework. Journal of medical Internet research 20, 3 (2018), e106. https://doi.org/10.2196/jmir.8701
[59]
Nicholas J. Seewald, Shawna N. Smith, Andy Jinseok Lee, Predrag Klasnja, and Susan A. Murphy. 2019. Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials. Statistics in Biosciences 11, 2 (jul 2019), 355--370. https://doi.org/10.1007/s12561-018-09228-w arXiv:1812.10800
[60]
Lydia A Shrier, Vishnudas Sarda, Cassandra Jonestrask, and Sion Kim Harris. 2018. Momentary factors during marijuana use as predictors of lapse during attempted abstinence in young adults. Addictive behaviors 83 (2018), 167--174. https://doi.org/10.1016/j.addbeh.2017.12.032
[61]
Jennifer S. Silk, Gede Pramana, Stefanie L. Sequeira, Oliver Lindhiem, Philip C. Kendall, Dana Rosen, and Bambang Parmanto. 2020. Using a Smartphone App and Clinician Portal to Enhance Brief Cognitive Behavioral Therapy for Childhood Anxiety Disorders. Behavior Therapy 51, 1 (jan 2020), 69--84. https://doi.org/10.1016/j.beth.2019.05.002
[62]
Donna Spruijt-Metz, Eric Hekler, Niilo Saranummi, Stephen Intille, Ilkka Korhonen, Wendy Nilsen, Daniel E Rivera, Bonnie Spring, Susan Michie, David A Asch, et al. 2015. Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research. Translational behavioral medicine 5, 3 (2015), 335--346. https://doi.org/10.1007/s13142-015-0324-1
[63]
J Graham Thomas and Dale S Bond. 2015. Behavioral response to a just-in-time adaptive intervention (JITAI) to reduce sedentary behavior in obese adults: Implications for JITAI optimization. Health Psychology 34, S (2015), 1261. https://doi.org/10.1037/hea0000304
[64]
Blase Ur, Elyse McManus, Melwyn Pak Yong Ho, and Michael L Littman. 2014. Practical trigger-action programming in the smart home. In Proceedings of the SIGCHI conference on human factors in computing systems. 803--812. https://doi.org/10.1145/2556288.2557420
[65]
Saskia van Dantzig, Murtaza Bulut, Martijn Krans, Anouk van der Lans, and Boris de Ruyter. 2018. Enhancing physical activity through context-aware coaching. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. 187--190. https://doi.org/10.1145/3240925.3240928
[66]
Roy Want, Andy Hopper, Veronica Falcao, and Jonathan Gibbons. 1992. The active badge location system. ACM Transactions on Information Systems (TOIS) 10, 1 (1992), 91--102. https://doi.org/10.1145/128756.128759
[67]
Jason Wiese, Sauvik Das, Jason I Hong, and John Zimmerman. 2017. Evolving the ecosystem of personal behavioral data. Human-Computer Interaction 32, 5-6 (2017), 447--510. https://doi.org/10.1080/07370024.2017.1295857
[68]
Jason Wiese, Jason I. Hong, and John Zimmerman. 2014. Challenges and Opportunities in Data Mining Contact Lists for Inferring Relationships. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Seattle, Washington) (UbiComp '14). Association for Computing Machinery, New York, NY, USA, 643--647. https://doi.org/10.1145/2632048.2632108
[69]
Cassandra Wright, Paul M Dietze, Emmanuel Kuntsche, Michael Livingston, Paul A Agius, Robin Room, Michelle Raggatt, Margaret Hellard, and Megan S C Lim. 2020. Effectiveness of an Ecological Momentary Intervention for Reducing Risky Alcohol Consumption Among Young Adults: Protocol for a Three-Arm Randomized Controlled Trial. JMIR research protocols 9, 3 (mar 2020), e14190. https://doi.org/10.2196/14190
[70]
Naomi Yamashita, Hideaki Kuzuoka, Keiji Hirata, Takashi Kudo, Eiji Aramaki, and Kazuki Hattori. 2017. Changing moods: How manual tracking by family caregivers improves caring and family communication. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 158--169. https://doi.org/10.1145/3025453.3025843
[71]
Kyle B Zuniga, June M Chan, Charles J Ryan, and Stacey A Kenfield. 2019. Diet and lifestyle considerations for patients with prostate cancer. In Urologic Oncology: Seminars and Original Investigations. Elsevier. https://doi.org/10.1016/j.urolonc.2019.06.018

Cited By

View all
  • (2024)Beyond Detection: Towards Actionable Sensing Research in Clinical Mental HealthcareProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997558:4(1-33)Online publication date: 21-Nov-2024
  • (2024)"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young AdultsProceedings of the ACM on Human-Computer Interaction10.1145/36869368:CSCW2(1-29)Online publication date: 8-Nov-2024
  • (2024)Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in PracticeCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678372(301-306)Online publication date: 5-Oct-2024
  • Show More Cited By

Index Terms

  1. Ask the Users: A Case Study of Leveraging User-Centered Design for Designing Just-in-Time Adaptive Interventions (JITAIs)

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 6, Issue 2
      June 2022
      1551 pages
      EISSN:2474-9567
      DOI:10.1145/3547347
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 July 2022
      Published in IMWUT Volume 6, Issue 2

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Health behavior change
      2. JITAI
      3. episodic tracking
      4. intermittent tracking
      5. just-in-time adaptive interventions
      6. retrospective tracking
      7. self-tracking
      8. user-centered design

      Qualifiers

      • Research-article
      • Research
      • Refereed

      Funding Sources

      • National Cancer Institute of the National Institutes of Health

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)475
      • Downloads (Last 6 weeks)64
      Reflects downloads up to 22 Jan 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Beyond Detection: Towards Actionable Sensing Research in Clinical Mental HealthcareProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997558:4(1-33)Online publication date: 21-Nov-2024
      • (2024)"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young AdultsProceedings of the ACM on Human-Computer Interaction10.1145/36869368:CSCW2(1-29)Online publication date: 8-Nov-2024
      • (2024)Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in PracticeCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678372(301-306)Online publication date: 5-Oct-2024
      • (2024)Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue ManagementProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661615(571-583)Online publication date: 1-Jul-2024
      • (2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
      • (2024)Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their ParentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642344(1-20)Online publication date: 11-May-2024
      • (2024)Hospital Employee Experiences Caring for Patients in Smart Patient RoomsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642201(1-16)Online publication date: 11-May-2024
      • (2024)Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic ProcrastinationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642081(1-18)Online publication date: 11-May-2024
      • (2024)Navigating User-System Gaps: Understanding User-Interactions in User-Centric Context-Aware Systems for Digital Well-being InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641979(1-15)Online publication date: 11-May-2024
      • (2023)User-Informed Adaptation in IoT Home Healthcare: Grounding Development in Empirical EvidenceJournal of Theoretical and Applied Electronic Commerce Research10.3390/jtaer1804009618:4(1901-1925)Online publication date: 17-Oct-2023
      • Show More Cited By

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Login options

      Full Access

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media