A model for temperament and emotions on robots

Lyle Norman Long

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

1 Citation (Scopus)

Abstract

This paper describes a mathematical/computational model of emotions and temperaments (or personalities). This model has been implemented on cognitive mobile robots. Emotions such as fear, anger, sadness, happiness, disgust, surprise, and others can be modeled, and can vary due to reinforcers (e.g. rewards and punishments). The model incorporates exponential decay of the reinforcement effects, so without continual reinforcers the emotion will return to their steady-state values. It is shown that emotions and temperament are coupled through the theory. Most models of emotions do not relate emotions to temperament. The constants used in the model of emotions are related to the temperament of the robot. The main five temperaments discussed include Extrovert/Introvert, Neurotic/Rational, Conscientious/Careless, Agreeable/Disagreeable, and Open/Reticent. The emotion and temperament model developed here has been incorporated into SS-RICS, which is a cognitive architecture developed at the Army Research Laboratory and tested in both mobile robots and in simulators.

Original languageEnglish (US)
Title of host publicationAdvances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
EditorsJessie Chen
PublisherSpringer Verlag
Pages3-13
Number of pages11
ISBN (Print)9783319603834
DOIs
StatePublished - Jan 1 2018
EventAHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017 - [state] CA, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume595
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
CountryUnited States
City[state] CA
Period7/17/177/21/17

Fingerprint

Robots
Mobile robots
Research laboratories
Reinforcement
Simulators

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Long, L. N. (2018). A model for temperament and emotions on robots. In J. Chen (Ed.), Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017 (pp. 3-13). (Advances in Intelligent Systems and Computing; Vol. 595). Springer Verlag. https://doi.org/10.1007/978-3-319-60384-1_1
Long, Lyle Norman. / A model for temperament and emotions on robots. Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017. editor / Jessie Chen. Springer Verlag, 2018. pp. 3-13 (Advances in Intelligent Systems and Computing).
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Long, LN 2018, A model for temperament and emotions on robots. in J Chen (ed.), Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017. Advances in Intelligent Systems and Computing, vol. 595, Springer Verlag, pp. 3-13, AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017, [state] CA, United States, 7/17/17. https://doi.org/10.1007/978-3-319-60384-1_1

A model for temperament and emotions on robots. / Long, Lyle Norman.

Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017. ed. / Jessie Chen. Springer Verlag, 2018. p. 3-13 (Advances in Intelligent Systems and Computing; Vol. 595).

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

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Long LN. A model for temperament and emotions on robots. In Chen J, editor, Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017. Springer Verlag. 2018. p. 3-13. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-60384-1_1