Understanding and Designing Multi-level Preventive Medication Support Against HIV for Men who Have Sex with Men in Taiwan Sexual health is an important domain that deserves more HCI attention, such as supporting the practices of men who have sex with men (MSM) against HIV risks. One current clinical approach to addressing this issue is to use preventive medicine like pre-exposure prophylaxis (PrEP). As medication adherence of PrEP is challenging that involves users’ individual knowledge, sex practices, relational status, and community support, technological mediation benefits from a human-centered perspective that goes beyond individual-level support to understand MSM’s needs so as to design a holistic technological intervention for them. With an in-depth interview (n = 22) with MSM from two major cities in Taiwan, we drew on the theoretical framework of the social ecological model and identified three levels of influences, including individual, interpersonal, and sociocultural, that shape the enablers, inhibitors, risks and challenges, and support towards MSM’s PrEP use. We proposed correspondent technological design implications to support what we found based on the understanding of our participants.
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Chien Wen (Tina) Yuan et al.
Health
CSCW 2023 Mind and Body: The Complex Role of Social Resources in Understanding and Managing Depression in Older Adults Depression is the most common mental health problem in older adults; however, a lack of understanding in the interaction between physical and social causes hinders effective treatment. Unique issues such as age-specific increases in comorbid physical problems and alienation from social contact can make it difficult for health providers to identify instances of depression. These also make it difficult for depressed older adults to communicate with their social resources, such as friends, family, and health providers. Integrating technology-assisted collaboration with members of patients' social network to observe and manage multi-dimensional factors in depressed older adults' states is a potential way to improve the quality of practitioners' treatment-planning around these multi-dimensional factors, as well as provide assistance for family and friends' involvement in managing the depression. We conducted an interview study on stakeholders' perceptions of depression and communication to understand the opportunities and challenges involved in implementing such collaborative design. Interviewees included 16 depressed older adult patients, 10 of their family members, and two psychiatrists. Our findings reveal new insights into 1) patients' and families' social values and understandings of patients' condition, as well as 2) how these values and understandings influenced decision-making on communicating with each other and acting on depression. These insights have implications for the consideration of information and communication systems to aid depressed older adults' recovery and engagement with social network members.
Older Adults
CSCW 2023 Farm to Table: Understanding Collaboration and Information Practices among Stakeholders in the Process of Produce Production, Sales, and Consumption Collaboration comes in many forms. How \textit{relevant stakeholders} collaborate at the scale of a system deserves scholarly attention because their practices may differ from traditional teams like dyads or small groups. This study investigates how stakeholders of a local produce supply-and-demand system, namely experts, farmers, sellers, and consumers, in Taiwan collaborate and communicate for information as a case to illustrate how they depend on one another for information collaboration in the system. Using qualitative in-depth interview, we found that stakeholders had diverse collaboration goals within the system and encountered challenges in acquiring information from one another. In addition to establishing a holistic understanding of stakeholders' individual and collective practices in the system of produce supply-and-demand, we propose several design suggestions to address the needs and challenges we identified.
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Chien Wen (Tina) Yuan et al.
Collaboration I
CSCW 2023 Trigger or Treat: Using Technology to Facilitate the Perception of Cravings and Corresponding Cues for Achieving Clinical-friendly Drug Psychotherapy Drug addiction is a chronic condition, marked by compulsive drug use. In previous research, cue exposure and biofeedback technologies proved effective in drug psychotherapy sessions; however, the focus has generally been on the awareness of cravings and the identification of cues. There has been relatively little research on methods aimed at facilitating therapist-patient communication, particularly from a user-centered perspective. In this paper, we describe a qualitative technology probe study exploring the means by which patients identify cues and perceive cravings as well as the way that they communicate with therapists. Our analysis considers the difficulties in cue identification and craving perception, the interactions between the two, and the means by which these characteristics could impact the design of VR support systems in the future.
Mental Health II
CSCW 2023 Ad Recommended
Learn AI Coding at CodeNow open_in_new Contextualizing User Perceptions about Biases for Human-Centered Explainable Artificial Intelligence Biases in Artificial Intelligence (AI) systems or their results are one important issue that demands AI explainability. Despite the prevalence of AI applications, the general public are not necessarily equipped with the ability to understand how the black-box algorithms work and how to deal with biases. To inform designs for explainable AI (XAI), we conducted in-depth interviews with major stakeholders, both end-users (n = 24) and engineers (n = 15), to investigate how they made sense of AI applications and the associated biases according to situations of high and low stakes. We discussed users’ perceptions and attributions about AI biases and their desired levels and types of explainability. We found that personal relevance and boundaries as well as the level of stake are two major dimensions for developing user trust especially during biased situations and informing XAI designs.
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Chien Wen (Tina) Yuan et al. National Taiwan Normal University
Explainable AI (XAI) AI Ethics, Fairness & Accountability
CHI 2023 To Use or Abuse: Opportunities and Difficulties in the Use of Multi-channel Support to Reduce Technology Abuse by Adolescents Technology abuse among adolescents refers to the problematic use of technology devices, and the negative impact it can have on lifestyle and one’s physical and mental health. This paper reports on in-depth interviews with 15 dyads of adolescent patients, their parents, and four experts with the objective of unraveling the issue of technology abuse. We conducted qualitative analysis aimed at unpacking the contextual factors affecting technology abuse, and differences between adolescents and their parents pertaining to this issue. Our discussions led us to formulate solutions to technology abuse: (1) motivating adolescents by sending timely reminders and providing interactive micro-incentives; (2) promoting communication between adolescents and their parents by sharing usage data related to device usage; and (3) incorporating social supports to complement parental support, while fulfilling the adolescent’s social needs. This paper provides valuable insights into the design of technological solutions aimed at mediating technology abuse.
Health and Consultation Practices, Addictive Behaviors, and Social Re-entry; Health and Consultation Practices, Addictive Behaviors, and Social Re-entry
CSCW 2022 This App is not for Me: Using Mobile and Wearable Technologies to Improve Adolescents’ Smartphone Addiction through the Sharing of Personal Data with Parents Smartphone addiction refers to the problematic use of smartphones, which can negatively impact one’s quality of life and even health. We conducted a two-week technology probe study to explore the use of technologies aimed at improving smartphone addiction among seven dyads of adolescents and their parents. Interviews conducted during and after the probe study revealed that manually reporting lifestyle and well-being data could provide motivation to improve one’s lifestyle and well-being by moderating phone use. Sharing smartphone use data with parents was also shown to head off negative communication loops and foster opportunities to overcome the smartphone addiction.
PC
Pin-Chieh Chen et al. National Tsing Hua University
Mental Health Apps & Online Support Communities Sleep & Stress Monitoring Smartwatches & Fitness Bands
CHI 2022 Go Gig or Go Home: Enabling Social Sensing to Share Personal Data with Intimate Partner for the Health and Wellbeing of Long-Hour workers Maintaining an awareness of one's well-being and making work-related decisions to achieve work-life balance is critical for flexible long-hour workers. In this study, we propose that social sensing could address bottlenecks in worker's awareness, interpretation of the informatics, and subsequent behavioral change. We conducted a four-week technology probe study by recruiting flexible long-hour professional drivers (Taxi and Uber drivers) and their significant others to use a social sensing prototype which collects data from the drivers and shares it with their partners as well as incorporates partners' observations. We interviewed them before and after the probe study and found that while technological sensing was able to increase drivers' awareness of their well-being status and intention to modify behaviors. The ``social sensing'' design was able to further shape such awareness or intention into action, highlighting the potential of using the sociotechnical approach in promoting work-life balance among long-hour workers.
CY
Chuang-Wen You et al. National Tsing Hua University
Context-Aware Computing Workplace Wellbeing & Work Stress
CHI 2021