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Empirical evaluation of human trust in an expressive mobile robot
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0002-8380-4113
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0002-2953-1564
Örebro University, School of Science and Technology. (AASS MRO Lab)
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0003-0217-9326
2016 (English)In: Proceedings of RSS Workshop "Social Trust in Autonomous Robots 2016", 2016Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

A mobile robot communicating its intentions using Spatial Augmented Reality (SAR) on the shared floor space makes humans feel safer and more comfortable around the robot. Our previous work [1] and several other works established this fact. We built upon that work by adding an adaptable information and control to the SAR module. An empirical study about how a mobile robot builds trust in humans by communicating its intentions was conducted. A novel way of evaluating that trust is presented and experimentally shown that adaption in SAR module lead to natural interaction and the new evaluation system helped us discover that the comfort levels between human-robot interactions approached those of human-human interactions.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Human robot interaction, hri, mobile robot, trust, evaluation
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-55259OAI: oai:DiVA.org:oru-55259DiVA: diva2:1070994
Conference
RSS Workshop "Social Trust in Autonomous Robots 2016", June 19, 2016
Available from: 2017-02-02 Created: 2017-02-02 Last updated: 2017-10-18Bibliographically approved

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Chadalavada, Ravi TejaAndreasson, HenrikKrug, RobertLilienthal, Achim
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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