Emotional memories in autonomous robots

Ruby Valverde Ibanez, Matthias Ulrich Keysermann, Patricia A. Vargas

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

Abstract

This is a theoretical study aiming at proposing a computation model for memory and emotion, using ideas inspired by neuroscience research into neural-endocrine systems interaction. Human robot interaction (HRI) ideally requires the robot to be able to detect emotional changes and understand the emotional implications of these changes. The model proposed here will allow a robot to create its own emotional memory, and to use that memory to predict future emotional states based on past experiences. This model would be able to monitor the emotional state of a person, to identify if that individual is in a state of flow, providing positive support and at times praise that may be needed. Further evaluation and validation are proposed including a study case.

Original languageEnglish
Title of host publication23rd IEEE International Symposium on Robot and Human Interactive Communication: Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life, Therapy, Assistance and Socially Engaging Interactions
PublisherIEEE
Pages405-410
Number of pages6
ISBN (Print)9781479967636
DOIs
Publication statusPublished - 15 Oct 2014
Event23rd IEEE International Symposium on Robot and Human Interactive Communication 2014: Towards a Framework for Joint Action Workshop - Heriot-Watt University, Edinburgh, United Kingdom
Duration: 25 Aug 201429 Aug 2014

Workshop

Workshop23rd IEEE International Symposium on Robot and Human Interactive Communication 2014
Abbreviated titleRO-MAN 2014
CountryUnited Kingdom
CityEdinburgh
Period25/08/1429/08/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Emotional memories in autonomous robots'. Together they form a unique fingerprint.

Cite this