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Title:Interacting with a Robot to Enhance Its Perceptual Attention
Authors: Yuval Marom ; Gillian Hayes
Date:Apr 2001
Publication Title:Proceedings of TIMR 2001 - Towards Intelligent Mobile Robots
Publication Type:Conference Paper
Robots are like humans in that they cannot and do not pay attention all the time; they do not process all the information perceived, and make decisions about what is worth their attention. If we put a robot in a social environment (either with other robots, or humans), this can help it analyse perceptual information: modelling attention is very hard, and a social context simplifies the problem. The purpose of this paper is to examine the effect of interacting with a robot on the characteristics of the data it is exposed to. We want to show that the perceptual data is better structured when the robot is in a social situation. We analyse the data using Principal Component Analysis, which is a multivariate data-analysis tool. We do not actually present here a computational attention algorithm for analysing perceptual data, although we will mention the system we are currently developing, which is based on the Self Organising Feature Map.
2002 by The University of Edinburgh. All Rights Reserved
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Bibtex format
author = { Yuval Marom and Gillian Hayes },
title = {Interacting with a Robot to Enhance Its Perceptual Attention},
book title = {Proceedings of TIMR 2001 - Towards Intelligent Mobile Robots},
year = 2001,
month = {Apr},

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