Co-designing mind-body technologies for sleep with adolescents.

Sleep is critical for well-being, yet adolescents do not get enough sleep. Mind-body approaches can help. Despite the potential of technology to support mind-body approaches for sleep, there is a lack of research on adolescent preferences for digital mind-body technology. We use co-design to examine adolescent perspectives on mind-body technologies for sleep. From our analysis of design sessions with 16 adolescents, four major themes emerged: system behavior, modality, content, and context. In light of these key findings, we recommend that technology-based mind-body approaches to sleep for adolescents be designed to 1) serve multiple functions while avoiding distractions, 2) provide intelligent content while maintaining privacy and trust, 3) provide a variety of content with the ability to customize and personalize, 4) offer multiple modalities for interaction with technology, and 5) consider the context of adolescent and their families. Findings provide a foundation for designing mind-body technologies for adolescent sleep.

Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.

This study aims to assess the perspectives and usability of different consumer sleep technologies (CSTs) that leverage artificial intelligence (AI). We answer the following research questions: (1) what are user perceptions and ideations of CSTs (phase 1), (2) what are the users' actual experiences with CSTs (phase 2), (3) and what are the design recommendations from participants (phases 1 and 2)? In this two-phase qualitative study, we conducted focus groups and usability testing to describe user ideations of desires and experiences with different AI sleep technologies and identify ways to improve the technologies. Results showed that focus group participants prioritized comfort, actionable feedback, and ease of use. Participants desired customized suggestions about their habitual sleeping environments and were interested in CSTs+AI that could integrate with tools and CSTs they already use. Usability study participants felt CSTs+AI provided an accurate picture of the quantity and quality of sleep. Participants identified room for improvement in usability, accuracy, and design of the technologies. We conclude that CSTs can be a valuable, affordable, and convenient tool for people who have issues or concerns with sleep and want more information. They provide objective data that can be discussed with clinicians.

Identifying opportunities for informatics-supported suicide prevention: the case of Caring Contacts.

Suicide is the tenth leading cause of death in the United States. Caring Contacts (CC) is a suicide prevention intervention involving care teams sending brief messages expressing unconditional care to patients at risk of suicide. Despite solid evidence for its effectiveness, CC has not been broadly adopted by healthcare organizations. Technology has the potential to facilitate CC if barriers to adoption were better understood. This qualitative study assessed the needs of organizational stakeholders for a CC informatics tool through interviews that investigated barriers to adoption, workflow challenges, and participant-suggested design opportunities. We identified contextual barriers related to environment, intervention parameters, and technology use. Workflow challenges included time-consuming simple tasks, risk assessment and management, the cognitive demands of authoring follow-up messages, accessing and aggregating information across systems, and team communication. To address these needs, we propose design considerations that focus on automation, cognitive support, and data and workflow integration. Future work will incorporate these findings to design informatics tools supporting broader adoption of Caring Contacts.