Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications 2018
DOI: 10.1145/3239060.3239072
|View full text |Cite
|
Sign up to set email alerts
|

Design Guidelines for Reliability Communication in Autonomous Vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
24
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 28 publications
(24 citation statements)
references
References 30 publications
0
24
0
Order By: Relevance
“…Previous work has found improved safety measures [13] and faster take-over times [15,16,20], as well as accompanying changes in gaze behavior [15,16,20]. Furthermore, it was found that drivers showed a more appropriate trust calibration [13,15,18] and gave higher acceptance ratings for such systems [13] compared to baseline conditions. Also, system comprehension [13] and situation awareness [13] were shown to be improved due to uncertainty communication.…”
Section: Related Workmentioning
confidence: 95%
See 1 more Smart Citation
“…Previous work has found improved safety measures [13] and faster take-over times [15,16,20], as well as accompanying changes in gaze behavior [15,16,20]. Furthermore, it was found that drivers showed a more appropriate trust calibration [13,15,18] and gave higher acceptance ratings for such systems [13] compared to baseline conditions. Also, system comprehension [13] and situation awareness [13] were shown to be improved due to uncertainty communication.…”
Section: Related Workmentioning
confidence: 95%
“…Several studies in the automotive context have further investigated the potential of reliability displays, especially for automated driving. Most attempts to communicate system uncertainty have focused on visual displays [13][14][15][16][17][18]. Variants of such displays include function-specific versus function-unspecific uncertainty encodings or different types of implicit and explicit visualization.…”
Section: Related Workmentioning
confidence: 99%
“…Faltaous et al [16] investigated how to communicate to the driver of a SAE level 2-3 vehicle when the system failed or an unexpected situation for the vehicle has occurred. Their results are five design guidelines, which are targeted toward driver space design for level 2-3 vehicles and, thus, are of limited suitability for fully automated public transportation scenarios.…”
Section: Related Workmentioning
confidence: 99%
“…Multiple studies have shown the usefulness of feedback modalities such as light, audio, visualisation, text or vibration and their combinations to convey information to a driver or passenger [12,16,18,19,[24][25][26][27]34]. They can increase the understanding of a machine's decision, and its limits [4,10,20,30,37] as well as help to increase the feeling of trust and safety of a passenger [9,15]. However, none of these studies have purely focused on the UX in autonomous driving when it comes to communicating the AI's awareness and intent.…”
Section: Related Workmentioning
confidence: 99%