학술논문

Student Perspectives on Digital Phenotyping : The Acceptability of Using Smartphone Data to Assess Mental Health
Document Type
Conference
Source
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. :1-14
Subject
acceptability
lived informatics
mental health
mental wellbeing
mobile health
qualitative research
sensors
Language
English
Abstract
There is a mental health crisis facing universities internationally. A growing body of interdisciplinary research has successfully demonstrated that using sensor and interaction data from students' smartphones can give insight into stress, depression, mood, suicide risk and more. The approach, which is sometimes termed Digital Phenotyping, has potential to transform how mental health and wellbeing can be monitored and understood. The approach could also transform how interventions are designed, delivered and evaluated. To date, little work has addressed the human and ethical side of digital phenotyping, including how students feel about being monitored. In this paper we report findings from in-depth focus groups, prototyping and interviews with students. We find they are positive about mental health technology, but also that there are multi-layered issues to address if digital phenotyping is to become acceptable. Using an acceptability framework, we set out the key design challenges that need to be addressed.

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