Student perspectives on digital phenotyping the acceptability of using smartphone data to assess mental health

John Rooksby, Alistair Morrison, Dave Murray-Rust

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

51 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450359702
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • Acceptability
  • Lived informatics
  • Mental health
  • Mental wellbeing
  • Mobile health
  • Qualitative research
  • Sensors

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