Impact of Automotive Personalized Voice Assistant Design on Driving Performance

YANG Jing; XU Xun; WEI Wentao

doi:10.19554/j.cnki.1001-3563.2025.14.011

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (14) : 106-112. DOI: 10.19554/j.cnki.1001-3563.2025.14.011

Industrial Design

Impact of Automotive Personalized Voice Assistant Design on Driving Performance

YANG Jing^1,*, XU Xun¹, WEI Wentao²

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Abstract

The work aims to investigate the design of automotive voice assistants, in order to improve drivers' driving safety behaviour. Based on the theory of affective design, three kinds of assistive personality (friend-based, family-based, and leader-based) voices were added to the automotive voice assistant, and the driving performance, eye movement and questionnaire data of three groups with a total of 30 subjects under different moods (happy and angry) were collected through an automotive driving simulator. There were significant differences between different personalized voice assistants on drivers' driving performance under the anger emotion. Family-based voice assistants had the smallest lane departure data and the highest driving performance under the anger group. Friend-based voice assistants had the smallest lane departure data, the most number of gazes and higher satisfaction under the happy emotion. Leader-based voice assistants had the worst driving performance and lower satisfaction under different emotions. The family-based voice assistant could reduce the bad emotions during driving. This study provides suggestions for the personalized design of automotive voice assistants, offering a scientific basis for reducing drivers' irritability and effectively improving driving safety.

Key words

affective design / voice assistants / driving performance / emotions / driving safety

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YANG Jing, XU Xun, WEI Wentao. Impact of Automotive Personalized Voice Assistant Design on Driving Performance[J]. Packaging Engineering. 2025, 46(14): 106-112 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.011

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