Towards Transparent Behavior of Automated Vehicles
- In automated vehicles, it is essential to feedforward motion intentions to users so that they understand the vehicle’s actions. Otherwise, non-transparency limits situation awareness and leads to mistrust. In this work, we are communicating the vehicle’s actions to the user either by displaying icons (planar HUD) or through augmented reality (contact-analog HUD) to increase transparency. We developed both concepts in a user-centered design process. Further, we evaluated them in two subsequent user studies (N = 27). In the first study, we focused on UX and trust in higher automation levels (cf. SAE level 3-5). In the second study, we focused on safety and error prevention in lower automation levels (cf. SAE levels 1-2). Our results show that both visualizations increase UX and trust in an automated system. Nevertheless, the AR approach outperforms the icon-based approach by achieving higher user experience as well as faster and less error-prone take-overs of participants.
Author: | Henrik Detjen, Maurizio Salini, Jan Kronenberger, Stefan Geisler, Stefan Schneegass |
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DOI: | https://doi.org/10.1145/3447526.3472041 |
Parent Title (English): | Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction |
Subtitle (English): | Design and Evaluation of HUD Concepts to Support System Predictability Through Motion Intent Communication |
Publisher: | ACM |
Place of publication: | New York, NY, USA |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2021 |
Contributing Corporation: | MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction (Toulouse & Virtual France) |
Release Date: | 2024/12/11 |
Page Number: | 12 |
First Page: | 1 |
Last Page: | 12 |