Exploring the Design of Human Speech Indicators to Enhance Waiting Experience in Voice User Interface

要旨

Waiting for system loading is a common scenario that often diminishes user experience, leading to dissatisfaction. Well-established visual indicators like progress bars can not directly apply to the interactions with voice assistants (VAs) like Siri. As VAs continue to rise in popularity, this research aims to explore the design of auditory indicators, particularly human speech, for optimizing waiting experiences in Voice User Interfaces (VUIs). We first organized focus groups (N=35) to identify design considerations for speech indicators, uncovering design opportunities in integrating explanations and humor. Subsequently, we conducted an empirical study (N=30) to evaluate the effects of speech indicators with two levels of explanation and humor on the waiting experience, measured by attention, perceived time, pleasure, and overall satisfaction, during both short and long loading durations. Our findings suggest significant potential for incorporating explanations and humor into VUIs, offering actionable insights for designing effective speech indicators that improve waiting experiences.

著者
Wenan Li
Information Hub, GUANGZHOU, China
Junnan Yu
The Hong Kong Polytechnic University, Hong Kong, China
Yehong Zhou
Nanyang Technological University, Singapore, Singapore, Singapore
Jinlei Shi
Zhejiang University, Hangzhou, China
Weitao You
College of Computer Science and Technology, Hangzhou, Zhejiang, China
Zhibin Zhou
The Hong Kong Polytechnic University, Hong Kong, China
DOI

10.1145/3706598.3713090

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713090

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Innovations in Interaction Design

Annex Hall F206
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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