Abstract
The recent advancements in science and technology have led to the development and deployment of robots in numerous applications spanning all spheres of human life. Investment in robotics domain is bringing diversity of robots in consumer market, which will lead to increase in interactions between humans and robots. Consumers with diverse expectations and limited domain knowledge often find difficult to select a robot. In this article, a generalized block diagram for HRI in social robotics has been discussed, which provides a design overview of HRI to consumers. It also enables consumers to develop general vocabulary about technical terms and informs about key factors for consideration while selecting a robot, to make the selection process easier and efficient for them. In order to illustrate the utility of factors deduced from block diagram, a Multi-Criteria Decision-Making (MCDM) is performed with the help of a fuzzy inference engine to relatively rank different companion robots as an outcome.
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Singh, K.J., Kapoor, D.S., Sohi, B.S. (2021). Selecting Social Robot by Understanding Human–Robot Interaction. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-15-5148-2_18
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DOI: https://doi.org/10.1007/978-981-15-5148-2_18
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