Implications from Responsible Human-Robot Interaction with Anthropomorphic Service Robots for Design Science

Abstract

Accelerated by the COVID-19 pandemic, anthropomorphic service robots are continuously penetrating various domains of our daily lives. With this development, the urge for an interdisciplinary approach to responsibly design human-robot interaction (HRI), with particular attention to human dignity, privacy, compliance, and transparency, increases. This paper contributes to design science, in developing a new artifact, i.e., an interdisciplinary framework for designing responsible HRI with anthropomorphic service robots, which covers the three design science research cycles. Furthermore, we propose a multi-method approach by applying this interdisciplinary framework. Thereby, our finding offer implications for designing HRI in a responsible manner.

Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set

“…A realistic retail scenario served as experimental environment (see Fig. 1a), as service robots show a great potential to be applied here 10 . In prior research 10 , we showed the necessity to combine the expertise of the research fields of psychology, computer science, and law in the design of a responsible human-centered HRI.…”

“…1a), as service robots show a great potential to be applied here 10 . In prior research 10 , we showed the necessity to combine the expertise of the research fields of psychology, computer science, and law in the design of a responsible human-centered HRI. Therefore, we implemented five conditions (neutral, transparency, liability, moral, and immoral) covering the perspectives from these three research fields.…”

“…Therefore, we implemented five conditions (neutral, transparency, liability, moral, and immoral) covering the perspectives from these three research fields. Particularly, with regard to the research field of psychology, we used two different anthropomorphic service robots 10 (see Fig. 1b, a comprehensive description of the conditions is given in Section Conditions and Robot Behavior).…”

“…Additionally, humans apply human-human social schemas and norms if the robot design is more anthropomorphic than mechanical 40 . Therefore, the moral and immoral conditions were additionally performed with the android robot (Elenoide) 10,38 , as visualized in Fig. 1b.…”

“…Discussion and limitations. The previous evaluations of the published data set show that a cross-disciplinary view of the data set is a win for robot design 10,37 . Our interdisciplinary research team developed five different conditions (i.e., neutral, transparency, liability, moral, and immoral) and proved the conditions' causal effect on the perceived affective state (see Section Statistical Validation of Conditions).…”