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Measuring acceptance of an assistive social robot: a suggested toolkit

Marcel Heerink, Ben Kröse, Vanessa Evers, Bob Wielinga

Year
2009
Citations
261

Abstract

The human robot interaction community is multidisciplinary by nature and has members from social science to engineering backgrounds. In this paper we aim to provide human robot developers with a straightforward toolkit to evaluate users' acceptance of assistive social robots they are designing or developing for elderly care environments. We will explain how we developed the measures for this analysis, provide do's and don'ts in designing the experiments, demonstrate the application of the measures we have developed for this purpose and the analysis and interpretation of the data. As such we hope to engage human robot interaction developers in evaluating the acceptability of their own robot to inform the development process and improve the final robot's design.

Keywords

RobotHuman–computer interactionMultidisciplinary approachHuman–robot interactionComputer scienceProcess (computing)Social robotKnowledge managementMobile robotArtificial intelligence

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