Towards Implicit Interaction in Highly Automated Vehicles - A Systematic Literature Review

被引：8
|
作者：
Stampf A. [1 ]
Colley M. [1 ]
Rukzio E. [1 ]
机构：
[1] Institute of Media Informatics, Ulm University, Ulm
来源：
Proceedings of the ACM on Human-Computer Interaction | 2022年 / 6卷 / MHCI期
关键词：
implicit interaction; in-vehicle interaction; systematic literature review;
D O I：
10.1145/3546726
中图分类号：
学科分类号：
摘要：
The inclusion of in-vehicle sensors and increased intention and state recognition capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review (SLR) on implicit in-vehicle interaction, which resulted in 82 publications, we investigated state and intention recognition methods based on (1) their used modalities, (2) their underlying level of automation, and (3) their considered interaction focus. Our SLR revealed a research gap addressing implicit interaction in highly automated vehicles (HAVs). Therefore, we discussed how the requirements for implicit state and intention recognition methods and interaction based on them are changing in HAVs. With this, open questions and opportunities for further research in this area were identified. © 2022 Copyright held by the owner/author(s).
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