학술논문

Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework
Document Type
Periodical
Source
IEEE Transactions on Human-Machine Systems IEEE Trans. Human-Mach. Syst. Human-Machine Systems, IEEE Transactions on. 51(6):601-612 Dec, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Robotics and Control Systems
Power, Energy and Industry Applications
General Topics for Engineers
Computing and Processing
Robots
Usability
Human-robot interaction
User experience
Service robots
robotics and automation
robots, service robots
systems, man, and cybernetics
Language
ISSN
2168-2291
2168-2305
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.