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People with mental health issues often stay indoors, reducing their outdoor activities. This situation emphasizes the need for self-tracking technology in homes for mental health research, offering insights into their daily lives and potentially improving care. This study leverages a multimodal smart speaker to design a proactive self-tracking research system that delivers mental health surveys using an experience sampling method (ESM). Our system determines ESM delivery timing by detecting user context transitions and allowing users to answer surveys through voice dialogues or touch interactions. Furthermore, we explored the user experience of a proactive self-tracking system by conducting a four-week field study (n=20). Our results show that context transition-based ESM delivery can increase user compliance. Participants preferred touch interactions to voice commands, and the modality selection varied depending on the user's immediate activity context. We explored the design implications for home-based, context-aware self-tracking with multimodal speakers, focusing on practical applications.
Digital Musical Instruments (DMIs) have been integrated into group music therapy, providing therapists with alternative ways to engage in musical dialogues with their clients. However, existing DMIs used in group settings are primarily designed for individual use and often overlook the social dynamics inherent in group therapy. Recognizing the crucial role of social interaction in the effectiveness of group therapy, we argue that Collaborative Digital Musical Instruments (CDMIs), seamlessly integrating social interaction with musical expression, hold significant potential to enhance group music therapy. To better tailor CDMIs for group music therapy, we engaged in a co-design process with music therapists, designing and practicing group therapy sessions involving the prototype ComString. In the end, we reflected on the co-design case to suggest future directions for designing CDMIs in group music therapy.
Mental health activities conducted by patients between therapy sessions (or "therapy homework") are a component of addressing anxiety and depression. However, to be effective, therapy homework must be tailored to the client's needs to address the numerous barriers they encounter in everyday life. In this study, we analyze how therapists and clients tailor therapy homework to their client's needs. We interviewed 13 therapists and 14 clients about their experiences tailoring and engaging in therapy homework. We identify criteria for tailoring homework, such as client skills, discomfort, and external barriers. We present how homework gets adapted, such as through changes in difficulty or by identifying alternatives. We discuss how technologies can better use client information for personalizing mental health interventions, such as adapting to client barriers, adjusting homework to these barriers, and creating a safer environment to support discomfort.
Mental health issues affect approximately 13% of people aged 10-24 years old worldwide. In Western countries (e.g. USA, UK, Australia), mental health issues are particularly prominent in Culturally and Linguistically Diverse (CALD) individuals, yet they are disproportionately affected in relation to service provision. Despite demand, there is a significant lack of literature explicitly exploring the design of digital mental health tools for CALD populations. Our study engaged five professionals working in CALD mental health, to gain insights into challenges for service access and provision, and then engaged 41 CALD young people to explore their experiences. We contribute a set of unique insights into the barriers that CALD young people face when seeking help, and their needs for future digital mental health tools. We also provide design recommendations for future researchers on how they might better support the inclusion of CALD communities in the design of digital health tools.
Today’s knowledge workers face cognitively demanding tasks and blurred work-life boundaries amidst rising stress and burnout in the workplace. Holistic approaches to supporting workers, which consider both productivity and well-being, are increasingly important. Taking this holistic approach, we designed an intervention inspired by cognitive behavioral therapy that consists of: (1) using the term "Time Well Spent" (TWS) in place of "productivity", (2) a mobile self-logging tool for logging activities, feelings, and thoughts at work, and (3) a visualization that guides users to reflect on their data. We ran a 4-week exploratory qualitative comparison in the field with 24 graduate students to examine our Therapy-inspired intervention alongside a classic Baseline intervention. Participants who used our intervention often shifted toward a holistic perspective of their primary working hours, which included an increased consideration of breaks and emotions. No such change was seen by those who used the Baseline intervention.