"When I see Jodie, I feel relaxed": Examining the Impact of a Virtual Supporter in Remote Psychotherapy
Jiashuo Cao, Chen Li, Wujie Gao, Simon Hoermann, Nilufar Baghaei, Mark Billinghurst
Abstract
Virtual agents have shown promising potential in mental health applications, but current research has predominantly focused on contexts outside of traditional therapy sessions. This paper examines the impact of a virtual supporter in remote psychotherapy sessions conducted via Zoom. We used a two-phase research approach. First we conducted a formative study to understand the roles and functions of human supporters in psychotherapy contexts. Based on these findings, we developed a virtual supporter operating in two modes: Daily Mode (for mood journaling outside therapy) and Therapy Mode (as an additional participant in Zoom therapy sessions). Finally we ran a user study with 14 participants who engaged with the virtual supporter for a week and then joined a remote psychotherapy session together. Our findings revealed that the virtual supporter had positive effects on creating psychological safety, reducing anxiety, and enhancing emotional articulation without disrupting the therapeutic process. We then discussed both the benefits and potential disadvantages of virtual supporters in therapeutic contexts, including concerns about over-reliance and the need for appropriate boundaries. This research contributes to understanding how AI-driven virtual agents could contribute to human-led remote psychotherapy. CCS Concepts: • Human-centered computing → Empirical studies in HCI; • Applied computing → Health care information systems.
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