The USUS evaluation framework for human-robot interaction

Astrid Weiss, Regina Bernhaupt, Michael Lankes, Manfred Tscheligi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

31 Citations (Scopus)

Abstract

To improve the way humans are interacting with robots various factors have to be taken into account. An evaluation framework for Human-Robot Collaboration with humanoid robots addressing usability, social acceptance, user experience, and societal impact (abb. USUS) as evaluation factors is proposed (see figure 1). The theoretical framework USUS is based on a multi-level indicator model to operationalize the evaluation factors. Evaluation factors are described and split up into several indicators, which are extracted and justified by literature review. The theoretical factor indicator framework is then combined with a methodological framework consisting of a mix of methods derived and borrowed from various disciplines (HRI, HCI, psychology, and sociology). The proposed method mix allows addressing all factors within the USUS framework and lays a basis for understanding the interrelationship of the USUS Factors.

Original languageEnglish
Title of host publicationAdaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009
Pages158-165
Number of pages8
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009 - Edinburgh, United Kingdom
Duration: 6 Apr 20099 Apr 2009

Conference

Conference23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009
CountryUnited Kingdom
CityEdinburgh
Period6/04/099/04/09

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    Weiss, A., Bernhaupt, R., Lankes, M., & Tscheligi, M. (2009). The USUS evaluation framework for human-robot interaction. In Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009 (pp. 158-165)