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  Design Guidelines for Reliability Communication in Autonomous Vehicles

Faltaous, S., Baumann, M., Schneegass, S., & Chuang, L. (2018). Design Guidelines for Reliability Communication in Autonomous Vehicles. In AutomotiveUI '18: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 258-267). New York, NY, USA: ACM Press.

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https://dl.acm.org/citation.cfm?id=3239072 (Publisher version)
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 Creators:
Faltaous, S, Author
Baumann, M, Author
Schneegass, S, Author
Chuang, LL1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Dates: 2018-09
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3239060.3239072
 Degree: -

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Title: Currently offered autonomous vehicles still require the human intervention. For instance, when the system fails to perform as expected or adapts to unanticipated situations. Given that reliability of autonomous systems can fluctuate across conditions, this work is a first step towards understanding how this information ought to be communicated to users. We conducted a user study to investigate the effect of communicating the system's reliability through a feedback bar. Subjective feedback was solicited from participants with questionnaires and semi-structured interviews. Based on the qualitative results, we derived guidelines that serve as a foundation for the design of how autonomous systems could provide continuous feedback on their reliability.
Place of Event: Toronto, ON, Canada
Start-/End Date: 2018-09-23 - 2018-09-25

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Title: AutomotiveUI '18: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Source Genre: Proceedings
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Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 258 - 267 Identifier: ISBN: 978-1-4503-5946-7