A systematic comparison of affective robot expression modalities

Morten Roed Frederiksen; Kasper Støy

doi:978-1-7281-4003-2/19

A systematic comparison of affective robot expression modalities

Bidragets oversatte titel: Systematisk sammenligning af affektive robotters udtryksformer

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

This paper provides a survey of the different means of
expression employed by robots, to convey affective state to
human recipients. The paper introduces a model of affective
means (MOAM) to effectively describe and compare the
emphasis on specific means, and applies it to the surveyed
robots. The model-based survey shows that a majority (92\%)
of the surveyed robots contain a category with room for
additional affective means, while a quarter (25.6\%) of the
robots use a single or two affective means of expression to
convey affective states. The result of the survey indicates
there is an under researched opportunity in exploring
synergies between means of affective expression to amplify
the overall affective impact of a robot.

Bidragets oversatte titel	Systematisk sammenligning af affektive robotters udtryksformer
Originalsprog	Engelsk
Titel	Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems 2019
Antal sider	8
Forlag	IEEE
Publikationsdato	12 dec. 2019
ISBN (Trykt)	978-1-7281-4004-9
DOI	https://doi.org/978-1-7281-4003-2/19
Status	Udgivet - 12 dec. 2019
Begivenhed	IEEE/RSJ International Conference on Intelligent Robots and Systems - The Venetian Macau, Macau, Macao Varighed: 4 nov. 2019 → 8 nov. 2019 https://www.iros2019.org

Konference

Konference	IEEE/RSJ International Conference on Intelligent Robots and Systems
Lokation	The Venetian Macau
Land/Område	Macao
By	Macau
Periode	04/11/2019 → 08/11/2019
Internetadresse	https://www.iros2019.org

Emneord

Robots
affective
expression

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978-1-7281-4003-2/19Licens: CC BY-ND

A_Systematic_comparison_of_affective_robot_expression_modalities-pre-printIndsendt manuskript, 3,51 MBLicens: GNU GPL

Citationsformater

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title = "A systematic comparison of affective robot expression modalities",

abstract = "This paper provides a survey of the different means of expression employed by robots, to convey affective state to human recipients. The paper introduces a model of affective means (MOAM) to effectively describe and compare the emphasis on specific means, and applies it to the surveyed robots. The model-based survey shows that a majority (92\%) of the surveyed robots contain a category with room for additional affective means, while a quarter (25.6\%) of the robots use a single or two affective means of expression to convey affective states. The result of the survey indicates there is an under researched opportunity in exploring synergies between means of affective expression to amplify the overall affective impact of a robot. ",

keywords = "Robots, affective, expression, Robots, affective, expression",

author = "Frederiksen, {Morten Roed} and Kasper St{\o}y",

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AB - This paper provides a survey of the different means of expression employed by robots, to convey affective state to human recipients. The paper introduces a model of affective means (MOAM) to effectively describe and compare the emphasis on specific means, and applies it to the surveyed robots. The model-based survey shows that a majority (92\%) of the surveyed robots contain a category with room for additional affective means, while a quarter (25.6\%) of the robots use a single or two affective means of expression to convey affective states. The result of the survey indicates there is an under researched opportunity in exploring synergies between means of affective expression to amplify the overall affective impact of a robot.

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U2 - 978-1-7281-4003-2/19

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PB - IEEE

T2 - IEEE/RSJ International Conference on<br/>Intelligent Robots and Systems

Y2 - 4 November 2019 through 8 November 2019

ER -

A systematic comparison of affective robot expression modalities

Abstract

Konference

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