@inproceedings{6403d52d028b4110bc7fd98bd1a05b96,
title = "A Lab-Based Investigation of Reaction Time and Reading Performance using Different In-Vehicle Reading Interfaces during Self-Driving",
abstract = "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.",
keywords = "Automated driving, comprehension, handover, multitasking, reading interface, safety, user study, windshield display",
author = "Lei Hsiung and Chang, {Yung Ju} and Li, {Wei Ko} and Ho, {Tsung Yi} and Wu, {Shan Hung}",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 ; Conference date: 17-09-2022 Through 20-09-2022",
year = "2022",
month = sep,
day = "17",
doi = "10.1145/3543174.3545254",
language = "English",
series = "Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022",
publisher = "Association for Computing Machinery, Inc",
pages = "96--107",
booktitle = "Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022",
}