Analysis of human-robot interaction metrics

Kisjes, Nathan (2021) Analysis of human-robot interaction metrics. Bachelor's Thesis, Life Science and Technology.

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Abstract

In the last decades, lots of new technology in robotics has been developed. As a result more and more people interact with robots in their everyday life. Therefore it has grown important to study how humans interact with robots. This paper presents a brief history of robotics, and introduces the field of Human- Robot Interaction (HRI). Which concerns all physical, psychological, social and cultural factors in regard to their interaction with human users. It is a multidisciplinary field bringing together engineers, designers, philosophers and sociologists to study and improve how humans interact with robots. Research on HRI can be subdivided into three categories. User oriented research, robot oriented research and system oriented research. These three approaches, and in what kind of research they are implemented are explained. Along with their advantages and disadvantages and examples in recent studies. Furthermore, different methods of data acquisition commonly used in HRI research are explained. These are task performance metrics, self assessment metrics, observational metrics and psycho-physiological metrics. Finally, 12 recent studies are compared, highlighting examples from different categories of HRI research and different metrics used in data collection.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Baskent, D. and Verkerke, G.J. and Araiza Illan, G.A.
Degree programme:	Life Science and Technology
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	21 Jul 2021 09:36
Last Modified:	21 Jul 2021 09:36
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/25376

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