2019/07/22 by Asma Ghandeharioun, Daniel McDuff, Ghandeharioun, Asma +5 · 1 citation
Psychology · #Digital Mental Health Interventions #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Mental Health Research Topics #Mental Health via Writing
paper · pdf · doi:10.48550/arxiv.1907.10664
openalex publication_date 2019/07/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A natural conversational interface that allows longitudinal symptom tracking\nwould be extremely valuable in health/wellness applications. However, the task\nof designing emotionally-aware agents for behavior change is still poorly\nunderstood. In this paper, we present the design and evaluation of an\nemotion-aware chatbot that conducts experience sampling in an empathetic\nmanner. We evaluate it through a human-subject experiment with N=39\nparticipants over the course of a week. Our results show that extraverts\npreferred the emotion-aware chatbot significantly more than introverts. Also,\nparticipants reported a higher percentage of positive mood reports when\ninteracting with the empathetic bot. Finally, we provide guidelines for the\ndesign of emotion-aware chatbots for potential use in mHealth contexts.\n