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Computer Science > Human-Computer Interaction

arXiv:2403.05083 (cs)
[Submitted on 8 Mar 2024]

Title:Technology-assisted Journal Writing for Improving Student Mental Wellbeing: Humanoid Robot vs. Voice Assistant

Authors:Batuhan Sayis, Hatice Gunes
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Abstract:Conversational agents have a potential in improving student mental wellbeing while assisting them in self-disclosure activities such as journalling. Their embodiment might have an effect on what students disclose, and how they disclose this, and students overall adherence to the disclosure activity. However, the effect of embodiment in the context of agent assisted journal writing has not been studied. Therefore, this study aims to investigate the viability of using social robots (SR) and voice assistants (VA) for eliciting rich disclosures in journal writing that contributes to mental health status improvement in students over time. Forty two undergraduate and graduate students participated in the study that assessed the mood changes (via Brief Mood Introspection Scale, BMIS), level of subjective self-disclosure (via Subjective Self-Disclosure Questionnaire, SSDQ), and perceptions toward the agents (via Robot Social Attributes Scale, RoSAS) with and without agent (SR or VA) assisted journal writing. Results suggest that only in robot condition there are mood improvements, higher levels of disclosure, and positive perceptions over time in technology-assisted journal writing. Our results suggest that robot assisted journal writing has some advantages over voice assistant one for eliciting rich disclosures that contributes to mental health status improvement in students over time.
Comments: accepted to HRI 2024 (LBR)
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2403.05083 [cs.HC]
  (or arXiv:2403.05083v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2403.05083

Submission history

From: Batuhan Sayis [view email]
[v1] Fri, 8 Mar 2024 06:18:45 UTC (999 KB)
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