Abstract
Adopting speech as their mode of interaction, speech-enabled conversational agent (CA) systems hold the potential to enable more natural and engaging self-report experiences than traditional media (e.g., pen and paper, web, or smartphone systems). Our recent research concerns the potential design and use of CAs to support mental health and wellbeing. In this article, we present findings from a study during which 22 individuals with affective disorders (e.g., depression, bipolar disorder) used either a speech-enabled CA or web app to self-report their emotional wellbeing. Analysis of users’ experiences and engagement with the system for daily self-report suggests that despite many technical limitations, users rated self-reporting via CA as a significantly novel and attractive experience yielding similar rates of engagement to a traditional web-based method.
| Original language | English |
|---|---|
| Journal | IEEE Pervasive Computing |
| Volume | 21 |
| Issue number | 2 |
| Pages (from-to) | 60-68 |
| ISSN | 1536-1268 |
| DOIs | |
| Publication status | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Atmospheric measurements
- Ethics
- Internet
- Mental health
- Particle measurements
- User experience
- Virtual assistants
Fingerprint
Dive into the research topics of 'What Is the Difference? Investigating the Self-Report of Wellbeing via Conversational Agent and Web App'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver