This literature review provides an overview on evaluation metrics regarding human well-being and system performance in human-robot interaction. In this context a systematic literature search in the Web of Science and IEEE Xplore databases was carried out. Thus, 30 relevant contributions out of 3854 studies were analyzed by multistage filtering. To gain an overview on and compare the different approaches and results, the studies are summarized in tables according to the following criteria: author, year, title, task, study design, measurement methods, population, and results. The evaluation metrics presented in this contribution in principle can be divided into questionnaire-based surveys and psychophysiological measurement methods. In addition, the studies are classified into evaluation metrics for measuring well-being and performance. The research was carried out with regard to an industrial engineering and ergonomics context, but is independent of specific application areas.
CITATION STYLE
Nelles, J., Kwee-Meier, S. T., & Mertens, A. (2019). Evaluation Metrics Regarding Human Well-Being and System Performance in Human-Robot Interaction – A Literature Review. In Advances in Intelligent Systems and Computing (Vol. 825, pp. 124–135). Springer Verlag. https://doi.org/10.1007/978-3-319-96068-5_14
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