Paper Info
Title
Modelling Human Memory in Robotic Companions for Personalisation and Long-term Adaptation in HRI
Abstract
This paper investigates issues of robot's personalization and long-term adaptation in human-robot interaction (HRI). It demonstrates the design and first technical implementation of a HRI showcase in the Robot House at University of Hertfordshire, UK. Here the central idea facilitating the long-term HRI is the creation of robotic companion, which provides various types of service to the user and can be personalised based upon individual needs. The personalisation can also be further enhanced through repeated interactions. The key component in the “mind” of the companion, which is highlighted in this paper, is the model of human semantic and episodic memory. The memory not only allows the companion to remember user's preferences for practical daily tasks, it also changes companion's behaviour in a longer time scale based on robot's perception of actual user input. Finally, implications of such a memory model in HRI are discussed.
Year
DOI
Venue
2010
10.3233/978-1-60750-661-4-64
BICA
Keywords
Field
DocType
modelling human memory,robot house,hri showcase,long-term hri,memory model,episodic memory,long-term adaptation,robotic companions,central idea,robotic companion,actual user input,human semantic,human memory
Human memory,Episodic memory,Type of service,Computer science,Memory model,Robot,Multimedia,Perception,Personalization
Conference
Volume
ISSN
Citations 
221
0922-6389
3
PageRank 
References 
Authors
0.39
6
4
Name
Order
Citations
PageRank
Wan Ching Ho118620.48
Kerstin Dautenhahn23124347.57
Mei Yii Lim315819.69
Kyron Du Casse440.76