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Affective Computing in Social Robotics
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Author(s): Tarun Kumar Vashishth (IIMT University, India), Vikas Sharma (IIMT University, India), Kewal Krishan Sharma (IIMT University, India), Rajeev Sharma (IIMT University, India)and Mukesh Kumar Sharma (Chaudhary Charan Singh University, India)
Copyright: 2025
Pages: 24
Source title:
Humanizing Technology With Emotional Intelligence
Source Author(s)/Editor(s): Subrata Tikadar (Amity University, Kolkata, India), Haipeng Liu (Coventry University, UK), Pronaya Bhattacharya (Amity University Kolkata, India)and Samit Bhattacharya (Indian Institute of Technology Guwahati, India)
DOI: 10.4018/979-8-3693-7011-7.ch018
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Abstract
Affective computing in social robotics represents a big development in human-robot interplay by means of allowing robots to understand, interpret, and reply to human emotions. This paper examines the combination of affective computing technology in social robots that specialize in their programs in healthcare, schooling, and customer service. We discuss diverse methodologies for emotion detection, which include facial popularity, voice analysis, and physiological monitoring, and how those strategies decorate robots' capacity to interact empathetically with human beings. The examine additionally addresses the demanding situations and ethical concerns associated with affective computing, which includes privateness worries and the ability for emotional manipulation. Our findings indicate that affective computing in social robotics has the potential to improve consumer engagement, satisfaction, and normal experience, paving the way for greater intuitive and human-like interactions.
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