Exploring Cognitive Models in Human-Robot Interaction

Author(s)	Inaya Maureen Minz
Country	India
Abstract	This paper explores the role of cognitive models in Human-Robot Interaction (HRI), emphasising their importance in enhancing robots' adaptability, emotional intelligence, and collaboration with humans. It examines key advancements in adaptive learning, affective computing, and context-aware decision-making while addressing ethical considerations like privacy, bias, and autonomy. Despite progress, challenges remain in improving context awareness and emotional recognition. The paper calls for further interdisciplinary research, the development of comprehensive ethical frameworks, and the use of Explainable AI (XAI) to foster trust. Future directions include expanding HRI applications in education, healthcare, and social care, aiming for robots that are effective, empathetic, and aligned with human values.
Keywords	Cognitive Models, Human, Robots
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-14
Cite This	Exploring Cognitive Models in Human-Robot Interaction - Inaya Maureen Minz - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28450
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.28450
Short DOI	https://doi.org/g8k5xt

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