Framework of Multiuser Satisfaction for Assessing Interaction Models Within Collaborative Virtual Environments

Erfanian, Aida; Hu, Yining; Zeng, Tao

doi:10.1109/thms.2017.2700431

Cited by 9 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The theoretical taxonomy of Yanco et al [32] addressed multiple research areas like HCI or Computer Supported Cooperative Work (CSCW) and social sciences to offer a holistic picture of research aspects, setting therefore the first steps in generalizing the HRI research. The evaluation framework of Erfanian et al [2] provides metrics to measure user satisfaction in collaborative Virtual Environments. The first attempt to define metrics was made by Steinfeld et al [23], based on an HCI perspective, to measure navigation, perception, management, manipulation and social acceptance for mobile robots.…”

Section: Evaluation Framework For Human-robot Interactionmentioning

confidence: 99%

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

Iglesias

Garcı́a

García-Olaya

et al. 2021

IEEE Trans. Human-Mach. Syst.

View full text Add to dashboard Cite

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 needs 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 paper 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 paper 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.

show abstract

Section: Evaluation Framework For Human-robot Interactionmentioning

confidence: 99%