An Exploratory Study on Emotion-Centered Voice User Interface(VUI) Design for Generation Z Single-Person Households : Focusing on Siri

This study explores strategies to optimize the emotional experience of voice user interfaces (VUIs) in AI assistants, focusing on Generation Z single households in their 20s. The research proceeded in four stages: user survey, case analysis, prototype design with usability testing, and emotion recognition technology analysis, applying the Person–Artifact–Task (P-A-T) model to derive emotion-based VUI design strategies. In UI, visual feedback elements were emphasized, while in UX, conversational naturalness, emotional responsiveness, and adaptability to user states were considered. Usability testing revealed that users perceived personalized dialogue and emotional reactions as key satisfaction factors, with visual feedback enhancing immersion and emotional engagement. These findings suggest that AI assistants can evolve beyond functional tools into emotionally connected digital companions, and the study provides methodological foundations for future personalized VUI design.

Authors

Publication Details

Journal
Korea Institute of Design Research Society
Published
2025-09-30
DOI
https://doi.org/10.46248/kidrs.2025.3.234
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

An Exploratory Study on Emotion-Centered Voice User Interface(VUI) Design for Generation Z Single-Person Households : Focusing on Siri

Min Song, Zhigang Wu
Korea Institute of Design Research Society
AI in Service Interactions
article

An Exploratory Study on Emotion-Centered Voice User Interface(VUI) Design for Generation Z Single-Person Households : Focusing on Siri

Min Song, Zhigang Wu
article en

Abstract

This study explores strategies to optimize the emotional experience of voice user interfaces (VUIs) in AI assistants, focusing on Generation Z single households in their 20s. The research proceeded in four stages: user survey, case analysis, prototype design with usability testing, and emotion recognition technology analysis, applying the Person–Artifact–Task (P-A-T) model to derive emotion-based VUI design strategies. In UI, visual feedback elements were emphasized, while in UX, conversational naturalness, emotional responsiveness, and adaptability to user states were considered. Usability testing revealed that users perceived personalized dialogue and emotional reactions as key satisfaction factors, with visual feedback enhancing immersion and emotional engagement. These findings suggest that AI assistants can evolve beyond functional tools into emotionally connected digital companions, and the study provides methodological foundations for future personalized VUI design.

Korea Institute of Design Research SocietyVol. 10(3)
Openalex Percentile: Top 85%
AI in Service Interactions
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