How the personality and memory of a robot can influence user modeling in Human-Robot Interaction
Pages 136 - 141
Abstract
In recent years, robotics has evolved, placing robots in social contexts, and giving rise to Human-Robot Interaction (HRI). HRI aims to improve user satisfaction by designing autonomous social robots with user modeling functionalities storing data on people to personalise interactions. Personality, a vital factor in human interactions, influences temperament, social preferences, and cognitive abilities. Despite much research on personality traits influencing HRI, little attention has been paid to the influence of the robot’s personality on the user modeling. Personality can influence not only temperament and how people interact with each other but also what they remember about an interaction. A robot’s personality traits could therefore influence what it remembers about the user and thus modify the user model and the consequent interactions. However, no studies investigating such conditioning have been found. This paper addresses this gap by proposing distinct user models that reflect unique robotic personalities, exploring the interplay between individual traits, memory, and social interactions to replicate human-like processes, and trying to provide users with more engaging and natural experiences.
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Index Terms
- How the personality and memory of a robot can influence user modeling in Human-Robot Interaction
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Published In
June 2024
662 pages
ISBN:9798400704666
DOI:10.1145/3631700
- General Chairs:
- Ludovico Boratto,
- Cristina Gena,
- Mirko Marras,
- Program Chairs:
- Panagiotis Germanakos,
- Elvira Popescus
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Published: 28 June 2024
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UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization
July 1 - 4, 2024
Cagliari, Italy
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