Personality- and Memory-Based Software Framework for Human-Robot Interaction
Alice Nardelli, Antonio Sgorbissa, Carmine Tommaso Recchiuto
Abstract
The synergic orchestration of the cognitive and psychological dimensions characterizes human intelligence. Accordingly, carefully designing this mechanism in artificial intelligence can be a successful strategy to increase human likeness in a robot, enhancing mutual understanding and building a more natural and intuitive interaction. For this purpose, the main contribution of this work is a psychological and cognitive architecture tailored for HRI based on the interplay between robotic personality and memory-based cognitive processes. Indeed, the artificial personality manifests itself not only in various aspects of the behavior but also within the action selection process, which is closely intertwined with personality-dependent hedonic experiences linked to memories. Within this paper, we propose a task- and platform-independent framework, evaluated in a multiparty collaborative scenario. Obtained results show that a robot connected to our proposed framework is perceived as a cognitive agent capable of manifesting perceivable and distinguishable personality traits.
BibTeX
@inproceedings{icra2024_personalityandme,
title = {Personality- and Memory-Based Software Framework for Human-Robot Interaction},
author = {Alice Nardelli and Antonio Sgorbissa and Carmine Tommaso Recchiuto},
booktitle = {ICRA 2024},
year = {2024}
}