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.
LanguageEnglish
Title of host publicationTowards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017
Subtitle of host publicationProceedings
EditorsYang Gao, Saber Fallah, Yaochu Jin, Constantina Lakakou
Place of PublicationBerlin
PublisherSpringer
Pages274-289
ISBN (Electronic)978-3-319-64107-2
ISBN (Print)978-3-319-64106-5
DOIs
StatusE-pub ahead of print - 20 Jul 2017

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume10454
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Transparency
Robots
Decoding
Decision making

Cite this

Wortham, R. H., Theodorou, A., & Bryson, J. J. (2017). Robot transparency: Improving understanding of intelligent behaviour for designers and users. In Y. Gao, S. Fallah, Y. Jin, & C. Lakakou (Eds.), Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017 : Proceedings (pp. 274-289). (Lecture Notes in Artificial Intelligence; Vol. 10454). Berlin: Springer. DOI: 10.1007/978-3-319-64107-2 22

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

Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017 : Proceedings. ed. / Yang Gao; Saber Fallah; Yaochu Jin; Constantina Lakakou. Berlin : Springer, 2017. p. 274-289 (Lecture Notes in Artificial Intelligence; Vol. 10454).

Research output: Chapter in Book/Report/Conference proceedingChapter

Wortham, RH, Theodorou, A & Bryson, JJ 2017, Robot transparency: Improving understanding of intelligent behaviour for designers and users. in Y Gao, S Fallah, Y Jin & C Lakakou (eds), Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017 : Proceedings. Lecture Notes in Artificial Intelligence, vol. 10454, Springer, Berlin, pp. 274-289. DOI: 10.1007/978-3-319-64107-2 22
Wortham RH, Theodorou A, Bryson JJ. Robot transparency: Improving understanding of intelligent behaviour for designers and users. In Gao Y, Fallah S, Jin Y, Lakakou C, editors, Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017 : Proceedings. Berlin: Springer. 2017. p. 274-289. (Lecture Notes in Artificial Intelligence). Available from, DOI: 10.1007/978-3-319-64107-2 22
Wortham, Robert H. ; Theodorou, Andreas ; Bryson, Joanna J. / Robot transparency : Improving understanding of intelligent behaviour for designers and users. Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017 : Proceedings. editor / Yang Gao ; Saber Fallah ; Yaochu Jin ; Constantina Lakakou. Berlin : Springer, 2017. pp. 274-289 (Lecture Notes in Artificial Intelligence).
@inbook{3e19e40bcd9541b6a8cd438835d87a3f,
title = "Robot transparency: Improving understanding of intelligent behaviour for designers and users",
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.",
author = "Wortham, {Robert H.} and Andreas Theodorou and Bryson, {Joanna J}",
year = "2017",
month = "7",
day = "20",
doi = "10.1007/978-3-319-64107-2 22",
language = "English",
isbn = "978-3-319-64106-5",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer",
pages = "274--289",
editor = "Yang Gao and Saber Fallah and Yaochu Jin and Constantina Lakakou",
booktitle = "Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017",

}

TY - CHAP

T1 - Robot transparency

T2 - Improving understanding of intelligent behaviour for designers and users

AU - Wortham,Robert H.

AU - Theodorou,Andreas

AU - Bryson,Joanna J

PY - 2017/7/20

Y1 - 2017/7/20

N2 - 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.

AB - 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.

UR - https://doi.org/10.1007/978-3-319-64107-2 22

U2 - 10.1007/978-3-319-64107-2 22

DO - 10.1007/978-3-319-64107-2 22

M3 - Chapter

SN - 978-3-319-64106-5

T3 - Lecture Notes in Artificial Intelligence

SP - 274

EP - 289

BT - Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017

PB - Springer

CY - Berlin

ER -