A sensory control system for adjusting group emotion using Bayesian networks and reinforcement learning

Jun Ho Kim, Ki Hoon Kim, Sung Bae Cho

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

4 Citations (Scopus)

Abstract

The relationship between sensory stimuli and emotion has been actively investigated, but it is relatively undisclosed to determine appropriate stimuli for inducing the target emotion for a group of people in the same space like school, hospital, store, etc. In this paper, we propose a stimuli control system to adjust group emotion in a closed space, especially kindergarten. The proposed system predicts the next emotion of a group of people using modular tree-structured Bayesian networks, and controls the stimuli appropriate to the target emotion using utility table initialized by domain knowledge and adapted by reinforcement learning as the cases of stimuli and emotions are cumulated. To evaluate the proposed system, the real data were collected for five days from a kindergarten where the sensor and stimulus devices were installed. We obtained 84 % of prediction accuracy, and 56.2 % of stimuli control accuracy. Moreover, in the scenario tests on math and music classes, we could control the stimuli to fit the target emotion with 63.2 % and 76.3 % accuracies, respectively.

Original languageEnglish
Title of host publicationHybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings
EditorsFrancisco Martinez-Alvarez, Alicia Troncoso, Hector Quintian, Emilio Corchado
PublisherSpringer Verlag
Pages377-388
Number of pages12
ISBN (Print)9783319320335
DOIs
Publication statusPublished - 2016 Jan 1
Event11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 - Seville, Spain
Duration: 2016 Apr 82016 Apr 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9648
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016
CountrySpain
CitySeville
Period16/4/816/4/20

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'A sensory control system for adjusting group emotion using Bayesian networks and reinforcement learning'. Together they form a unique fingerprint.

  • Cite this

    Kim, J. H., Kim, K. H., & Cho, S. B. (2016). A sensory control system for adjusting group emotion using Bayesian networks and reinforcement learning. In F. Martinez-Alvarez, A. Troncoso, H. Quintian, & E. Corchado (Eds.), Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings (pp. 377-388). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9648). Springer Verlag. https://doi.org/10.1007/978-3-319-32034-2_32