Robot transparency: improving understanding of intelligent behaviour for designers and users

Research output: Contribution to conferencePaper

Abstract

Autonomous robots can be difficult to design and understand. Designers
have difficulty decoding the behaviour of their own robots simply by observing
them. Naive users of robots similarly have difficulty deciphering robot behaviour
simply through observation. In this paper we review relevant robot systems
architecture, design, and transparency literature, and report on a programme
of research to investigate practical approaches to improve robot transparency.We
report on the investigation of real-time graphical and vocalised outputs as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. This approach, combined with a graphical approach to behaviour design, offers improved transparency for robot designers. We also report on studies of users’ understanding, where significant improvement has been achieved using both graphical and vocalisation transparency approaches.

Conference

ConferenceTAROS 2017
CountryUK United Kingdom
CityGuildford
Period19/07/1721/07/17
Internet address

Fingerprint

Transparency
Robots
Decoding
Decision making

Cite this

Robot transparency : improving understanding of intelligent behaviour for designers and users. / Wortham, Robert H; Theodorou, Andreas; Bryson, Joanna J.

2017. Paper presented at TAROS 2017, Guildford, UK United Kingdom.

Research output: Contribution to conferencePaper

Wortham, RH, Theodorou, A & Bryson, JJ 2017, 'Robot transparency: improving understanding of intelligent behaviour for designers and users' Paper presented at TAROS 2017, Guildford, UK United Kingdom, 19/07/17 - 21/07/17, .
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title = "Robot transparency: improving understanding of intelligent behaviour for designers and users",
abstract = "Autonomous robots can be difficult to design and understand. Designershave difficulty decoding the behaviour of their own robots simply by observingthem. Naive users of robots similarly have difficulty deciphering robot behavioursimply through observation. In this paper we review relevant robot systemsarchitecture, design, and transparency literature, and report on a programmeof research to investigate practical approaches to improve robot transparency.Wereport on the investigation of real-time graphical and vocalised outputs as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. This approach, combined with a graphical approach to behaviour design, offers improved transparency for robot designers. We also report on studies of users’ understanding, where significant improvement has been achieved using both graphical and vocalisation transparency approaches.",
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note = "TAROS 2017 : 18th Towards Autonomous Robotic Systems (TAROS) Conference ; Conference date: 19-07-2017 Through 21-07-2017",
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AU - Theodorou,Andreas

AU - Bryson,Joanna J

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AB - Autonomous robots can be difficult to design and understand. Designershave difficulty decoding the behaviour of their own robots simply by observingthem. Naive users of robots similarly have difficulty deciphering robot behavioursimply through observation. In this paper we review relevant robot systemsarchitecture, design, and transparency literature, and report on a programmeof research to investigate practical approaches to improve robot transparency.Wereport on the investigation of real-time graphical and vocalised outputs as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. This approach, combined with a graphical approach to behaviour design, offers improved transparency for robot designers. We also report on studies of users’ understanding, where significant improvement has been achieved using both graphical and vocalisation transparency approaches.

M3 - Paper

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