Uncovering emotional memories in robot soccer players

Christopher Allan, Micael S. Couceiro, Patricia A. Vargas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Memory is central to the emotional experience of playing sports. The capacity to recall great achievements, triumphs and defeats inevitably influences the emotional state of athletes and people in general. Nevertheless, research on robot competitions that has been striving to mimic real-world soccer, such as the well-known RoboCup challenge, never considered the relevance of memory and emotions, nor their possible connection. This paper proposes a data mining approach to emotional memory modelling with the purpose of replicating the link between emotion and memory in a Ro-boCup scenario. A model of emotional fluctuations is also proposed based on neurological disorders to investigate their effect on the robot's ability to choose appropriate behaviours. The proposed model is evaluated using the NAO robot on a simulation environment. By utilizing emotion to assess memories stored, NAO was able to successfully choose behaviours based on the optimal outcomes achieved in the past.

Original languageEnglish
Title of host publication24th IEEE International Workshop on Robot and Human Interactive Communication (ROMAN 2015)
PublisherIEEE
Pages474-479
Number of pages6
ISBN (Print)9781467367042
DOIs
Publication statusPublished - 2015
Event24th IEEE International Symposium on Robot and Human Interactive Communication 2015 - Kobe, Japan
Duration: 31 Aug 20154 Sept 2015

Conference

Conference24th IEEE International Symposium on Robot and Human Interactive Communication 2015
Abbreviated titleRO-MAN 2015
Country/TerritoryJapan
CityKobe
Period31/08/154/09/15

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition

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