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Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework

Authors :
Alvaro Duenas
Antonio Bandera
Rebeca Marfil
Angel García-Olaya
Cristina Suarez-Mejias
Raquel Fuentetaja
Fernando Fernández
Javier García
Ana Iglesias
Dimitri Voilmy
Adrián Romero-Garcés
Karine Lan Hing Ting
Source :
IEEE Transactions on Human-Machine Systems. 51:601-612
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

The introduction of robots in the real world requires previous evaluation of the envisaged performance. Factors like usability, user experience, social acceptance, or societal impact, among others, have been taken into account in evaluation frameworks defined during the last years. However, one of the most important factors that need to be evaluated in any kind of interaction is whether all the users are able to work with the system with the same opportunities and easiness, and none of the current human–robot interaction (HRI) evaluation frameworks include this factor yet. This article proposes an extension of a popular HRI evaluation framework, including accessibility as a new evaluation factor. The proposed approach, named AUSUS, considers Accessibility, Usability, Social acceptance, User experience, and Societal impact. This article presents a use case of the framework, which is evaluated through a socially assistive robotic platform created to perform comprehensive geriatric assessment: the CLARC system. The details of the evaluation process in a hospital and a retirement home are reported, and the main difficulties and recommendations of using AUSUS are discussed.

Details

ISSN :
21682305 and 21682291
Volume :
51
Database :
OpenAIRE
Journal :
IEEE Transactions on Human-Machine Systems
Accession number :
edsair.doi...........f70477d0fd6d1b07983d18d74e62b315
Full Text :
https://doi.org/10.1109/thms.2021.3112976