ScholarWorks@성균관대학교

초록

Nonverbal cues are essential for natural communication, yet voice assistants often lack such features, limiting their effectiveness in social contexts like emotion journaling. This study investigates the impact of different visual backchannel feedback patterns on conversational flow and user perception with an icon-based voice assistant. Using a within-subject design, participants experienced three feedback conditions: regular, synchronized, and randomized. Quantitative results showed that minimal differences in visual patterns significantly influenced user perceptions, with synchronized and randomized feedback generally outperforming regular feedback. Qualitative findings emphasized individual differences, highlighting the need for customizable feedback to address diverse user needs. This study contributes to the design of inclusive, user-centered voice assistant interfaces for social applications. © 2025 Copyright held by the owner/author(s).

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