@inproceedings{43dacc42ace048718966d3952264a0d0,
title = "HMI Design for Autonomous Cars: Investigating on Driver{\textquoteright}s Attention Distribution.",
abstract = "This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver{\textquoteright}s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers{\textquoteright} distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.",
keywords = "Autonomous driving, UX, User interface",
author = "Weizhe Chen and Wei Liu",
year = "2019",
month = jun,
day = "18",
doi = "10.1007/978-3-030-22666-4_7",
language = "English",
isbn = "978-3-030-22665-7",
volume = "11596",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "92--102",
editor = "Heidi Kr{\"o}mker",
booktitle = "HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings",
address = "Germany",
note = "21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION ; Conference date: 26-07-2019 Through 31-07-2019",
}