Ananya Bhattacharjee, Joseph Jay Williams, Jonah Meyerhoff, Harsh Kumar, Alex Mariakakis, Rachel Kornfield
{"title":"Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.","authors":"Ananya Bhattacharjee, Joseph Jay Williams, Jonah Meyerhoff, Harsh Kumar, Alex Mariakakis, Rachel Kornfield","doi":"10.1145/3544548.3580774","DOIUrl":"10.1145/3544548.3580774","url":null,"abstract":"<p><p>Without a nuanced understanding of users' perspectives and contexts, text messaging tools for supporting psychological wellbeing risk delivering interventions that are mismatched to users' dynamic needs. We investigated the contextual factors that influence young adults' day-to-day experiences when interacting with such tools. Through interviews and focus group discussions with 36 participants, we identified that people's daily schedules and affective states were dominant factors that shape their messaging preferences. We developed two messaging dialogues centered around these factors, which we deployed to 42 participants to test and extend our initial understanding of users' needs. Across both studies, participants provided diverse opinions of how they could be best supported by messages, particularly around when to engage users in more passive versus active ways. They also proposed ways of adjusting message length and content during periods of low mood. Our findings provide design implications and opportunities for context-aware mental health management systems.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9876105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph J Williams, Madhu Reddy, David C Mohr
{"title":"Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.","authors":"Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph J Williams, Madhu Reddy, David C Mohr","doi":"10.1145/3491102.3502046","DOIUrl":"10.1145/3491102.3502046","url":null,"abstract":"<p><p>Young adults have high rates of mental health conditions, but most do not want or cannot access formal treatment. We therefore recruited young adults with depression or anxiety symptoms to co-design a digital tool for self-managing their mental health concerns. Through study activities-consisting of an online discussion group and a series of design workshops-participants highlighted the importance of easy-to-use digital tools that allow them to exercise independence in their self-management. They described ways that an automated messaging tool might benefit them by: facilitating experimentation with diverse concepts and experiences; allowing variable depth of engagement based on preferences, availability, and mood; and collecting feedback to personalize the tool. While participants wanted to feel supported by an automated tool, they cautioned against incorporating an overtly human-like motivational tone. We discuss ways to apply these findings to improve the design and dissemination of digital mental health tools for young adults.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098159/pdf/nihms-1801373.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9620362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A Epstein
{"title":"Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs.","authors":"Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A Epstein","doi":"10.1145/3491102.3502206","DOIUrl":"https://doi.org/10.1145/3491102.3502206","url":null,"abstract":"<p><p>Clinical decision support tools have typically focused on one-time support for diagnosis or prognosis, but have the ability to support providers in longitudinal planning of patient care regimens amidst infrastructural challenges. We explore an opportunity for technology support for discontinuing antidepressants, where clinical guidelines increasingly recommend gradual discontinuation over abruptly stopping to avoid withdrawal symptoms, but providers have varying levels of experience and diverse strategies for supporting patients through discontinuation. We conducted two studies with 12 providers, identifying providers' needs in developing discontinuation plans and deriving design guidelines. We then iteratively designed and implemented AT Planner, instantiating the guidelines by projecting taper schedules and providing flexibility for adjustment. Provider feedback on AT Planner highlighted that discontinuation plans required balancing interpersonal and infrastructural constraints and surfaced the need for different technological support based on clinical experience. We discuss the benefits and challenges of incorporating flexibility and advice into clinical planning tools.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40563608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Catherine Grevet Delcourt, Linda Charmaraman, Sidrah Durrani, Quan Gu, Le Fan Xiao
{"title":"Innovating Novel Online Social Spaces with Diverse Middle School Girls: Ideation and Collaboration in a Synchronous Virtual Design Workshop.","authors":"Catherine Grevet Delcourt, Linda Charmaraman, Sidrah Durrani, Quan Gu, Le Fan Xiao","doi":"10.1145/3491102.3517576","DOIUrl":"10.1145/3491102.3517576","url":null,"abstract":"<p><p>Leveraging social media as a domain of high relevance in the lives of most young adolescents, we led a synchronous virtual design workshop with 17 ethnically diverse, and geographically-dispersed middle school girls (aged 11-14) to co-create novel ICT experiences. Our participatory workshop centered on social media innovation, collaboration, and computational design. We present the culminating design ideas of novel online social spaces, focused on positive experiences for adolescent girls, produced in small-groups, and a thematic analysis of the idea generation and collaboration processes. We reflect on the strengths of utilizing social media as a domain for computing exploration with diverse adolescent girls, the role of facilitators in a synchronous virtual design workshop, and the technical infrastructure that can enable age-appropriate scaffolding for active participation and use of participatory design principles embedded within educational workshops with this population.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9098333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emma Dixon, Jesse Anderson, Diana Blackwelder, Mary Radnofsky, Amanda Lazar
{"title":"Barriers to Online Dementia Information and Mitigation.","authors":"Emma Dixon, Jesse Anderson, Diana Blackwelder, Mary Radnofsky, Amanda Lazar","doi":"10.1145/3491102.3517554","DOIUrl":"10.1145/3491102.3517554","url":null,"abstract":"<p><p>There is growing interest in HCI to study ways to support access to accurate, accessible, relevant online health information for different populations. Yet, there remains a need to understand the barriers that are posed by the way our platforms are designed as well as how we might overcome these barriers for people with dementia. To address this, we conducted sixteen interviews and observation sessions with people with mild to moderate dementia. Our analysis uncovered four barriers to online health information and corresponding mitigation strategies that participants employed. We discuss how HCI researchers may apply these findings towards new technical approaches and standards concerning information accessibility and credibility for neurodiverse populations. Finally, we broaden the scope of HCI research to include investigations of the accessibility and credibility of online information for people with age-related cognitive impairment independent of proxies.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201622/pdf/nihms-1808331.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40561595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examining AI Methods for Micro-Coaching Dialogs.","authors":"Elliot G Mitchell, Noémie Elhadad, Lena Mamykina","doi":"10.1145/3491102.3501886","DOIUrl":"https://doi.org/10.1145/3491102.3501886","url":null,"abstract":"<p><p>Conversational interaction, for example through chatbots, is well-suited to enable automated health coaching tools to support self-management and prevention of chronic diseases. However, chatbots in health are predominantly scripted or rule-based, which can result in a stagnant and repetitive user experience in contrast with more dynamic, data-driven chatbots in other domains. Consequently, little is known about the tradeoffs of pursuing data-driven approaches for health chatbots. We examined multiple artificial intelligence (AI) approaches to enable <i>micro-coaching</i> dialogs in nutrition - brief coaching conversations related to specific meals, to support achievement of nutrition goals - and compared, reinforcement learning (RL), rule-based, and scripted approaches for dialog management. While the data-driven RL chatbot succeeded in shorter, more efficient dialogs, surprisingly the simplest, scripted chatbot was rated as higher quality, despite not fulfilling its task as consistently. These results highlight tensions between scripted and more complex, data-driven approaches for chatbots in health.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707294/pdf/nihms-1847405.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40456495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaylee Payne Kruzan, Jonah Meyerhoff, Theresa Nguyen, David C Mohr, Madhu Reddy, Rachel Kornfield
{"title":"\"I Wanted to See How Bad it Was\": Online Self-screening as a Critical Transition Point Among Young Adults with Common Mental Health Conditions.","authors":"Kaylee Payne Kruzan, Jonah Meyerhoff, Theresa Nguyen, David C Mohr, Madhu Reddy, Rachel Kornfield","doi":"10.1145/3491102.3501976","DOIUrl":"10.1145/3491102.3501976","url":null,"abstract":"<p><p>Young adults have high rates of mental health conditions, yet they are the age group least likely to seek traditional treatment. They do, however, seek information about their mental health online, including by filling out online mental health screeners. To better understand online self-screening, and its role in help-seeking, we conducted focus groups with 50 young adults who voluntarily completed a mental health screener hosted on an advocacy website. We explored (1) catalysts for taking the screener, (2) anticipated outcomes, (3) reactions to the results, and (4) desired next steps. For many participants, the screener results validated their lived experiences of symptoms, but they were nevertheless unsure how to use the information to improve their mental health moving forward. Our findings suggest that online screeners can serve as a transition point in young people's mental health journeys. We discuss design implications for online screeners, post-screener feedback, and digital interventions broadly.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075814/pdf/nihms-1801395.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10304244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christina N Harrington, Radhika Garg, Amanda Woodward, Dimitri Williams
{"title":"\"It's Kind of Like Code-Switching\": Black Older Adults' Experiences with a Voice Assistant for Health Information Seeking.","authors":"Christina N Harrington, Radhika Garg, Amanda Woodward, Dimitri Williams","doi":"10.1145/3491102.3501995","DOIUrl":"https://doi.org/10.1145/3491102.3501995","url":null,"abstract":"<p><p>Black older adults from lower socioeconomic environments are often neglected in health technology interventions. Voice assistants have a potential to make healthcare more accessible to older adults, yet, little is known about their experiences with this type of health information seeking, especially Black older adults. Through a three-phase exploratory study, we explored health information seeking with 30 Black older adults in lower-income environments to understand how they ask health-related questions, and their perceptions of the Google Home being used for that purpose. Through our analysis, we identified the health information needs and common search topics, and discussed the communication breakdowns and types of repair performed. We contribute an understanding of cultural code-switching that has to be done by these older adults when interacting with voice assistants, and the importance of such phenomenon when designing for historically excluded groups.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307214/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40623463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elliot G Mitchell, Elizabeth M Heitkemper, Marissa Burgermaster, Matthew E Levine, Yishen Miao, Maria L Hwang, Pooja M Desai, Andrea Cassells, Jonathan N Tobin, Esteban G Tabak, David J Albers, Arlene M Smaldone, Lena Mamykina
{"title":"From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.","authors":"Elliot G Mitchell, Elizabeth M Heitkemper, Marissa Burgermaster, Matthew E Levine, Yishen Miao, Maria L Hwang, Pooja M Desai, Andrea Cassells, Jonathan N Tobin, Esteban G Tabak, David J Albers, Arlene M Smaldone, Lena Mamykina","doi":"10.1145/3411764.3445555","DOIUrl":"10.1145/3411764.3445555","url":null,"abstract":"<p><p>Self-tracking can help personalize self-management interventions for chronic conditions like type 2 diabetes (T2D), but reflecting on personal data requires motivation and literacy. Machine learning (ML) methods can identify patterns, but a key challenge is making actionable suggestions based on personal health data. We introduce GlucoGoalie, which combines ML with an expert system to translate ML output into personalized nutrition goal suggestions for individuals with T2D. In a controlled experiment, participants with T2D found that goal suggestions were understandable and actionable. A 4-week in-the-wild deployment study showed that receiving goal suggestions augmented participants' self-discovery, choosing goals highlighted the multifaceted nature of personal preferences, and the experience of following goals demonstrated the importance of feedback and context. However, we identified tensions between abstract goals and concrete eating experiences and found static text too ambiguous for complex concepts. We discuss implications for ML-based interventions and the need for systems that offer more interactivity, feedback, and negotiation.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067367/pdf/nihms-1792256.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10717037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"\"Taking care of myself as long as I can\": How People with Dementia Configure Self-Management Systems.","authors":"Emma Dixon, Anne Marie Piper, Amanda Lazar","doi":"10.1145/3411764.3445225","DOIUrl":"10.1145/3411764.3445225","url":null,"abstract":"<p><p>Self-management research in HCI has addressed a variety of conditions. Yet, this literature has largely focused on neurotypical populations and chronic conditions that can be managed, leaving open questions of what self-management might look like for populations with progressive cognitive impairment. Grounded in interviews with seventeen technology savvy people with mild to moderate dementia, our analysis reveals their use of technological and social resources as part of the work of self-management. We detail how participants design self-management systems to enable desired futures, function well in their social world, and maintain control. Our discussion broadens the notion of self-management to include future-oriented, sociotechnical, self-determinate design. We advocate for expanding the way technologists, designers, and HCI scholars view people with mild to moderate dementia to recognize them as inventive creators and capable actors in self-management.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265518/pdf/nihms-1713431.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39175027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}