Back to Search
Start Over
Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework
- 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.
- Subjects :
- Knowledge management
Computer Networks and Communications
business.industry
Computer science
Process (engineering)
Societal impact of nanotechnology
Human Factors and Ergonomics
Usability
Retirement home
Computer Science Applications
Human-Computer Interaction
User experience design
Work (electrical)
Artificial Intelligence
Control and Systems Engineering
Signal Processing
Assistive robot
Robot
business
Subjects
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