HUMAN CENTRED AI: SOCIAL AND COLLABORATIVE LEARNING WITH HUMANOID ROBOTS

The integration of social robots into educational settings marks a significant paradigm shift in the application of technology to facilitate learning and education. Social robots, characterised by their ability to interact, engage, and communicate with humans, offer unprecedented opportunities for enhancing collaborative learning experiences. This paper explores the potential of social robots to address key questions, including: Will robotic solutions be useful and accepted by humans for educational applications? How can social robots be designed to enhance collaborative learning experiences? What guidelines should be devised to ensure human-centred AI development? By examining these questions, we present two case studies that seek to investigate and contribute towards the development of Human-Centred AI Design guidelines that prioritise the diverse needs of humans and enhance Human Robot Interactions (HRI).

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Publication Details

Journal
University of Brighton Repository (University of Brighton)
Published
2024-10-26
Primary Topic
Social Robot Interaction and HRI
Type
article
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article

HUMAN CENTRED AI: SOCIAL AND COLLABORATIVE LEARNING WITH HUMANOID ROBOTS

University of Brighton Repository (University of Brighton)
Social Robot Interaction and HRI
article

HUMAN CENTRED AI: SOCIAL AND COLLABORATIVE LEARNING WITH HUMANOID ROBOTS

article en

Abstract

The integration of social robots into educational settings marks a significant paradigm shift in the application of technology to facilitate learning and education. Social robots, characterised by their ability to interact, engage, and communicate with humans, offer unprecedented opportunities for enhancing collaborative learning experiences. This paper explores the potential of social robots to address key questions, including: Will robotic solutions be useful and accepted by humans for educational applications? How can social robots be designed to enhance collaborative learning experiences? What guidelines should be devised to ensure human-centred AI development? By examining these questions, we present two case studies that seek to investigate and contribute towards the development of Human-Centred AI Design guidelines that prioritise the diverse needs of humans and enhance Human Robot Interactions (HRI).

University of Brighton Repository (University of Brighton)
Institute of Archeology (UA), University of Brighton (GB)
Openalex Percentile: Top 39%
Social Robot Interaction and HRI
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