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Robots That Make Sense: Transparent Intelligence Through Augmented Reality
University of Bath.
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Responsible AI)ORCID iD: 0000-0001-9499-1535
University of Bath.
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous robots can be difficult to understand by their develop-ers, let alone by end users. Yet, as they become increasingly integralparts of our societies, the need for affordable easy to use tools toprovide transparency grows. The rise of the smartphone and theimprovements in mobile computing performance have graduallyallowed Augmented Reality (AR) to become more mobile and afford-able. In this paper we review relevant robot systems architectureand propose a new software tool to provide robot transparencythrough the use of AR technology. Our new tool, ABOD3-AR pro-vides real-time graphical visualisation and debugging of a robot’sgoals and priorities as a means for both designers and end usersto gain a better mental model of the internal state and decisionmaking processes taking place within a robot. We also report onour on-going research programme and planned studies to furtherunderstand the effects of transparency to naive users and experts.

Place, publisher, year, edition, pages
CEUR Workshop Proceedings , 2019.
Keywords [en]
Responsible AI, Augmented Reality, Systems AI, Human-Robotics Interaction
National Category
Computer Vision and Robotics (Autonomous Systems) Human Computer Interaction
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-156709OAI: oai:DiVA.org:umu-156709DiVA, id: diva2:1291419
Conference
2019 IUI Workshop in Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies (IUI-ATEC)
Available from: 2019-02-25 Created: 2019-02-25 Last updated: 2019-04-05Bibliographically approved

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Type fulltextMimetype application/pdf

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Theodorou, Andreas

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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