The Race Between Cognitive and Artificial Intelligence: Examining Socio-Ethical Collaborative Robots Through Anthropomorphism and Xenocentrism in Human-Robot Interaction

Anshu Saxena Arora and Amit Arora
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Anshu Saxena Arora: University of the District of Columbia, Washington, D.C., USA
Amit Arora: University of the District of Columbia, Washington, D.C., USA

International Journal of Intelligent Information Technologies (IJIIT), 2020, vol. 16, issue 1, 1-16

Abstract: Research on human-robot interaction (HRI) is growing; however, focus on the congruent socio-behavioral HRI research fields of social cognition, socio-behavioral intentions, and code of ethics is lacking. Humans possess an inherent ability of integrating perception, cognition, and action; while robots may have limitations as they may not recognize an object or a being, navigate a terrain, and/or comprehend written or verbal language and instructions. This HRI research focuses on issues and challenges for both humans and robots from social, behavioral, technical, and ethical perspectives. The human ability to anthropomorphize robots and adoption of ‘intentional mindset' toward robots through xenocentrism have added new dimensions to HRI. Robotic anthropomorphism plays a significant role in how humans can be successful companions of robots. This research explores social cognitive intelligence versus artificial intelligence with a focus on privacy protections and ethical implications of HRI while designing robots that are ethical, cognitively and artificially intelligent, and social human-like agents.

Date: 2020
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