DocumentCode :
186304
Title :
Development of goal-directed gaze shift based on predictive learning
Author :
Copete, Jorge Luis ; Nagai, Yukie ; Asada, Minoru
Author_Institution :
Dept. of Adaptive Machine Syst., Osaka Univ., Suita, Japan
fYear :
2014
fDate :
13-16 Oct. 2014
Firstpage :
351
Lastpage :
356
Abstract :
Understanding others´ actions as goal-directed is a key mechanism to develop social cognitive abilities such as imitation and cooperation. Recent findings in psychology have demonstrated that the ability to predict the goal of observed actions emerges as early as six months in infancy. However, what mechanisms are involved and how they trigger the development of this ability are still open questions. In this paper, we propose a computational model employing a recurrent neural network to reproduce the developmental process of goal-directed gaze shift. Our hypothesis is that it is possible to infer the goal of observed actions by learning to predict the attention target originated from bottom-up visual attention. While keeping consistency with psychological findings, our experimental results confirmed the hypothesis that learning to predict the attention targets leads to the development of predictive gaze shift to the action goal.
Keywords :
cognition; psychology; recurrent neural nets; action goal; attention target prediction; bottom-up visual attention; computational model; developmental process; goal-directed gaze shift; predictive gaze shift; predictive learning; psychology; recurrent neural network; social cognitive abilities; Computational modeling; Grasping; Image color analysis; Predictive models; Recurrent neural networks; Training; Visualization; Cognitive developmental robotics; recurrent neural network; visual attention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on
Conference_Location :
Genoa
Type :
conf
DOI :
10.1109/DEVLRN.2014.6983005
Filename :
6983005
Link To Document :
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