Exploring the Design of Collaborative Technological Systems to Assist Patients in Motivating Quitting Gambling with Family Members Gambling addiction can have a profound impact on the mental and financial well-being of individuals and their families. This paper presents an in-depth study on the development of technologies aimed at promoting collaborative efforts between patients and family members to deal with gaming addiction. The study performed interviews with ten pairs of gambling-addicted patients with a family member, six patients without family participation, and four treatment experts. Thematic analysis was conducted from the perspectives of patients and family members with the aim of identifying key themes underlying the development of the three antecedents of Planned Behavioral Theory: attitude, subjective norms, and perceived behavioral control. In accordance with the tenets of Prospect Theory, we sought to elucidate the process of attitude formation during editing and evaluation. We also conducted a thematic analysis of the opportunities and concerns in designing technologies aimed at overcoming gambling addiction. The identified themes provided a basis by which to assess design implications from the perspective of Planned Behavioral Theory. Our analysis revealed three directions for future development: 1) Helping patients to make informed gambling decisions through rational editing and evaluation, as suggested by Prospect Theory (attitude level); 2) promoting communication within families to enhance mutual understanding and trust (subjective norm level); and 3) helping patients to develop personal capabilities, while providing a realistic impression of their progress (perceived behavioral control level).
Facilitating Support and Belonging
CSCW 2025 Not What I Want to Log or Share: Exploring How to Enhance Technological Support through Affordable Behavioral Self-Monitoring and Data Sharing with Key Support Figures Shopping addiction is characterized by unrestrained repetitive purchasing behavior, negatively impacting one’s financial stability and social welfare. This study sought to gain insights into the development of self-monitoring devices and data sharing schemes to assist in dealing with shopping addiction. In this two-phase study, the Bergen Shopping Addiction Scale was first used in the pre-study screening survey to identify individuals with a propensity toward shopping addiction. In the second phase, an online survey was conducted, comprising (1) a study introduction and consent form, (2) the main survey, and (3) follow-up demographic questions. Phase II involved 332 participants meeting this criterion and was conducted to examine behavioral tendencies, evaluate prior intervention experiences, and elicit user preferences pertaining to self-monitoring and data sharing. The majority of respondents expressed a preference for systems that facilitate the tracking of shopping behavior and enable data sharing with intimate partners. Based on these findings, we recommend three directions for the further development of support systems: 1) Reduce the burden of mood tracking; 2) Streamline mechanisms for sharing data with key support figures; and 3) Tailor intervention strategies in accordance with key addiction indicators.
Beyond AI: Additional Considerations for Enhancing Healthcare
CSCW 2025 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 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 Deradicalizing YouTube: Characterization, Detection, and Personalization of Religiously Intolerant Arabic Videos Growing evidence suggests that YouTube's recommendation algorithm plays a role in online radicalization via surfacing extreme content. Radical Islamist groups, in particular, have been profiting from the global appeal of YouTube to disseminate hate and jihadist propaganda. In this quantitative, data-driven study, we investigate the prevalence of religiously intolerant Arabic YouTube videos, the tendency of the platform to recommend such videos, and how these recommendations are affected by demographics and watch history. Based on our deep learning classifier developed to detect hateful videos and a large-scale dataset of over 350K videos, we find that Arabic videos targeting religious minorities are particularly prevalent in search results (30%) and first-level recommendations (21%), and that 15% of overall captured recommendations point to hateful videos. Our personalized audit experiments suggest that gender and religious identity can substantially affect the extent of exposure to hateful content. Our results contribute vital insights into the phenomenon of online radicalization and facilitate curbing online harmful content.
Online Incivility & Radicalization; Online Incivility & Radicalization
CSCW 2022 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