Content area

Abstract

The evaluation of how (human) individuals perceive robots is a central issue to better understand human–robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not able to assess a sufficient part of the composite psychological dimensions involved in the evaluation of HRI. Indeed, the percentage of variance explained is often under the recommended threshold for a construct to be valid. In this article, we consolidate the lessons learned from three different studies and propose a further developed questionnaire based on a multicomponent approach of anthropomorphism by adding traits from psychosocial theory about the perception of others and the attribution and deprivation of human characteristics: the de-humanization theory. Among these characteristics, the attribution of agency is of main interest in the field of social robotics as it has been argued that robots could be considered as intentional agents. Factor analyses reveal a four sub-dimensions scale including Sociability, Agency, Animacy, and the Disturbance. We discuss the implication(s) of these dimensions on future perception of and attitudes towards robots.

Details

Title
Perception and Evaluation in Human–Robot Interaction: The Human–Robot Interaction Evaluation Scale (HRIES)—A Multicomponent Approach of Anthropomorphism
Author
Spatola Nicolas 1   VIAFID ORCID Logo  ; Kühnlenz, Barbara 2 ; Cheng, Gordon 2   VIAFID ORCID Logo 

 Istituto Italiano di Tecnologia, Social Cognition in Human-Robot Interaction, Genova, Italy (GRID:grid.25786.3e) (ISNI:0000 0004 1764 2907); University of Potsdam, Department of Education, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117) 
 Technical University of Munich, Department of Electrical and Computer Engineering, Institute for Cognitive Systems, Munich, Germany (GRID:grid.6936.a) (ISNI:0000000123222966) 
Pages
1517-1539
Publication year
2021
Publication date
Nov 2021
Publisher
Springer Nature B.V.
ISSN
18754791
e-ISSN
18754805
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2596179058
Copyright
© Springer Nature B.V. 2021.