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Open AccessArticle

The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations

1
Department of Electrical Engineering and Information Technologies, University of Naples Federico II, 80125 Napoli, Italy
2
College of Business, Technology and Engineering, Sheffield Hallam University, Sheffield S1 1WB, UK
3
Department of Psychology, University of Campania L. Vanvitelli, 81100 Caserta, Italy
4
Department of Physics E. Pancini, University of Naples Federico II, 80126 Napoli, Italy
*
Author to whom correspondence should be addressed.
Robotics 2020, 9(2), 39; https://doi.org/10.3390/robotics9020039
Received: 17 April 2020 / Revised: 15 May 2020 / Accepted: 19 May 2020 / Published: 23 May 2020
(This article belongs to the Special Issue Robotics Research for Healthy Living and Active Ageing)
Research and development in socially assistive robotics have produced several novel applications in the care of senior people. However, some are still unexplored such as their use as psychometric tools allowing for a quick and dependable evaluation of human users’ intellectual capacity. To fully exploit the application of a social robot as a psychometric tool, it is necessary to account for the users’ factors that might influence the interaction with a robot and the evaluation of user cognitive performance. To this end, we invited senior participants to use a prototype of a robot-led cognitive test and analyzed the influence of personality traits and user’s empathy on the cognitive performance and technology acceptance. Results show a positive influence of a personality trait, the “openness to experience”, on the human-robot interaction, and that other factors, such as anxiety, trust, and intention to use, are influencing technology acceptance and correlate the evaluation by psychometric tests.
Keywords: social assistive robots; psychometric evaluation; personality factors; technology acceptance; empathy; human friendly cognitive robotics social assistive robots; psychometric evaluation; personality factors; technology acceptance; empathy; human friendly cognitive robotics
MDPI and ACS Style

Rossi, S.; Conti, D.; Garramone, F.; Santangelo, G.; Staffa, M.; Varrasi, S.; Di Nuovo, A. The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations. Robotics 2020, 9, 39.

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