A Lab-Based Investigation of Reaction Time and Reading Performance using Different In-Vehicle Reading Interfaces during Self-Driving

Lei Hsiung, Yung Ju Chang, Wei Ko Li, Tsung Yi Ho, Shan Hung Wu*

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

The demand for autonomous vehicles (AVs) is rapidly growing these years. As AVs have a potential to free drivers' cognitive resources from driving to other tasks, reading is one of the common activities users conduct in travel multitasking. Nevertheless, ways to supporting reading in AVs have been little explored. To fill this gap, we explored the design of an in-vehicle reader on a windshield in AVs along three dimensions: dynamics, position, and text segmentation. We conducted two in-lab within-subject experiments to examine the eight kinds of in-car reading modalities that represented the combinations of the three dimensions in terms of drivers' reaction time and reading comprehension. Our results show a case where an adaptive positioning would be particularly beneficial for supporting reading in AVs. And our general suggestion is to use a static reading zone presented on-sky and in sentences because it leads to faster reaction and better reading comprehension.

原文English
主出版物標題Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
發行者Association for Computing Machinery, Inc
頁面96-107
頁數12
ISBN(電子)9781450394154
DOIs
出版狀態Published - 17 9月 2022
事件14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of
持續時間: 17 9月 202220 9月 2022

出版系列

名字Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

Conference

Conference14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
國家/地區Korea, Republic of
城市Seoul
期間17/09/2220/09/22

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