Emotional memories in autonomous robots

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

doi:10.1109/ROMAN.2014.6926286

Emotional memories in autonomous robots

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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 language	English
Title of host publication	23rd 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
Publisher	IEEE
Pages	405-410
Number of pages	6
ISBN (Print)	9781479967636
DOIs	https://doi.org/10.1109/ROMAN.2014.6926286
Publication status	Published - 15 Oct 2014
Event	23rd 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 2014 → 29 Aug 2014

Conference

Conference	23rd IEEE International Symposium on Robot and Human Interactive Communication 2014
Abbreviated title	IEEE RO-MAN 2014
Country/Territory	United Kingdom
City	Edinburgh
Period	25/08/14 → 29/08/14

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Human-Computer Interaction

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10.1109/ROMAN.2014.6926286

Cite this

Valverde Ibanez, R., Keysermann, M. U., & Vargas, P. A. (2014). Emotional memories in autonomous robots. In 23rd 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 (pp. 405-410). Article 6926286 IEEE. https://doi.org/10.1109/ROMAN.2014.6926286

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title = "Emotional memories in autonomous robots",

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.",

author = "{Valverde Ibanez}, Ruby and Keysermann, {Matthias Ulrich} and Vargas, {Patricia A.}",

note = "INSPEC Accession Number: 14695012; 23rd IEEE International Symposium on Robot and Human Interactive Communication 2014 : Towards a Framework for Joint Action Workshop, IEEE RO-MAN 2014 ; Conference date: 25-08-2014 Through 29-08-2014",

year = "2014",

month = oct,

day = "15",

doi = "10.1109/ROMAN.2014.6926286",

language = "English",

isbn = "9781479967636",

pages = "405--410",

booktitle = "23rd 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",

publisher = "IEEE",

address = "United States",

}

Valverde Ibanez, R, Keysermann, MU & Vargas, PA 2014, Emotional memories in autonomous robots. in 23rd 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., 6926286, IEEE, pp. 405-410, 23rd IEEE International Symposium on Robot and Human Interactive Communication 2014, Edinburgh, United Kingdom, 25/08/14. https://doi.org/10.1109/ROMAN.2014.6926286

Emotional memories in autonomous robots. / Valverde Ibanez, Ruby; Keysermann, Matthias Ulrich; Vargas, Patricia A.
23rd 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. IEEE, 2014. p. 405-410 6926286.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Emotional memories in autonomous robots

AU - Valverde Ibanez, Ruby

AU - Keysermann, Matthias Ulrich

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N2 - 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.

AB - 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.

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BT - 23rd 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

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Y2 - 25 August 2014 through 29 August 2014

ER -

Emotional memories in autonomous robots

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