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Abstract or concrete? The effects of language style and service context on continuous usage intention for AI voice assistants

Business

Abstract or concrete? The effects of language style and service context on continuous usage intention for AI voice assistants

H. Lan, X. Tang, et al.

This fascinating research by Hai Lan, Xiaofei Tang, Yong Ye, and Huiqin Zhang explores how voice assistants can transform user experiences through tailored language styles. Discover how users gravitate towards abstract language for enjoyment and concrete language for practicality, all driven by processing fluency.

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Playback language: English
Abstract
This article investigates how voice assistants (VAs) can improve user experience by focusing on service contexts and matching language styles. Three studies suggest users prefer abstract language in hedonic contexts and concrete language in utilitarian contexts, with processing fluency mediating this effect. Findings offer insights for enhancing continuous usage intention.
Publisher
Humanities and Social Sciences Communications
Published On
Jan 12, 2024
Authors
Hai Lan, Xiaofei Tang, Yong Ye, Huiqin Zhang
Tags
voice assistants
user experience
language styles
hedonic contexts
utilitarian contexts
processing fluency
continuous usage intention

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