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Human-to-AI interfaces for enabling future onboard experiences
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.ORCID iD: 0000-0002-9554-0071
2017 (English)In: AutomotiveUI 2017 - 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings, Association for Computing Machinery (ACM), 2017, p. 94-98Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel platform for supporting humancentric design of future on-board user interfaces. This is conceived to facilitate the interplay and information exchange among onboard digital information systems, autonomous AI agents and human passengers and drivers. Two Human-to-AI (H2AI) Augmented Reality (AR) interfaces, characterized by different degrees of immersivity, have been designed to provide passengers with intuitive visualization of information available in the AI modules controlling the car behavior. To validate the proposed usercentric paradigm, a novel testbed has been developed for assessing whether H2AI solutions can be effective in increasing human trust in self-driving cars. The results of our initial experimental studies, performed with several subjects, clearly showed that visualizing AI information brings a critical understanding of the autonomous driving processes, which in turn leads to a substantial increase of trust in the system.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017. p. 94-98
Keywords [en]
AR, Autonomous vehicular systems, Trust
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-223021DOI: 10.1145/3131726.3131737Scopus ID: 2-s2.0-85034839040ISBN: 9781450351515 OAI: oai:DiVA.org:kth-223021DiVA, id: diva2:1182429
Conference
9th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2017, Oldenburg, Germany, 24 September 2017 through 27 September 2017
Note

QC 20180213

Available from: 2018-02-13 Created: 2018-02-13 Last updated: 2018-02-13Bibliographically approved

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Beelen, ThomasTollmar, Konrad

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf