Expectation setting and personality attribution in HRI

Maartje M.A. De Graaf; Somaya Ben Allouch

doi:10.1145/2559636.2559796

Expectation setting and personality attribution in HRI

Maartje M.A. De Graaf, Somaya Ben Allouch

University of Twente

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

People tend to treat robots as social actors and assign personality attributes to them. This study investigates the influence of expectation setting on the users' attribution of personality traits to the robot and their impressions of that robot. Results show that personality attribution is depending on people's prior expectations of the interaction. Moreover, people evaluate a robot better when they assigned it with a complementary personality and when they had high prior expectations of that robot.

Original language	English
Title of host publication	HRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE
Pages	144-145
Number of pages	2
ISBN (Print)	9781450326582
DOIs	https://doi.org/10.1145/2559636.2559796
Publication status	Published - 1 Jan 2014
Event	9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany Duration: 3 Mar 2014 → 6 Mar 2014

Conference

Conference	9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
Country/Territory	Germany
City	Bielefeld
Period	3/03/14 → 6/03/14

Keywords

Expectation setting
Human-robot interaction
Impression
Personality attribution

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10.1145/2559636.2559796

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title = "Expectation setting and personality attribution in HRI",

abstract = "People tend to treat robots as social actors and assign personality attributes to them. This study investigates the influence of expectation setting on the users' attribution of personality traits to the robot and their impressions of that robot. Results show that personality attribution is depending on people's prior expectations of the interaction. Moreover, people evaluate a robot better when they assigned it with a complementary personality and when they had high prior expectations of that robot.",

keywords = "Expectation setting, Human-robot interaction, Impression, Personality attribution",

author = "{De Graaf}, {Maartje M.A.} and {Ben Allouch}, Somaya",

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booktitle = "HRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction",

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AU - De Graaf, Maartje M.A.

AU - Ben Allouch, Somaya

PY - 2014/1/1

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N2 - People tend to treat robots as social actors and assign personality attributes to them. This study investigates the influence of expectation setting on the users' attribution of personality traits to the robot and their impressions of that robot. Results show that personality attribution is depending on people's prior expectations of the interaction. Moreover, people evaluate a robot better when they assigned it with a complementary personality and when they had high prior expectations of that robot.

AB - People tend to treat robots as social actors and assign personality attributes to them. This study investigates the influence of expectation setting on the users' attribution of personality traits to the robot and their impressions of that robot. Results show that personality attribution is depending on people's prior expectations of the interaction. Moreover, people evaluate a robot better when they assigned it with a complementary personality and when they had high prior expectations of that robot.

KW - Expectation setting

KW - Human-robot interaction

KW - Impression

KW - Personality attribution

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DO - 10.1145/2559636.2559796

M3 - Conference contribution

AN - SCOPUS:84896949470

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EP - 145

BT - HRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction

PB - IEEE

T2 - 9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014

Y2 - 3 March 2014 through 6 March 2014

ER -

Expectation setting and personality attribution in HRI

Abstract

Conference

Keywords

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