Decision of Learning Status Based on Modeling of the Information Measurement of Social Behavioral Tasks in Rhesus Monkeys

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

Abstract

We are interested in identifying the learning status of the social behavioral tasks in the rhesus monkey. In addition, we define the characteristic of stimulus with a numerical quantification. We allow monkeys to interact with individuals of different social status, while we monitor the viewer monkey's behavior by tracking its scan paths. With these observations, we can understand the learning status of this animal via looking behavior analysis on the stimulus. First, the viewer monkey shows different looking patterns among six different classes. Therefore, we can generate different data descriptors of these classes and observe the classification performance of the machine learning algorithm. Second, we design the ground truth model based on the characteristic of each stimulus. We define the distribution of information from the ratio of the face, body, and background area in the stimulus. Lastly, we link them to figure out whether the viewer monkey learned enough about the information in the stimulus.

Original languageEnglish (US)
Title of host publicationProceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
EditorsCristina Ruiz Martin, Maria Julia Blas, Alonso Inostrosa Psijas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781565553750
DOIs
StatePublished - Jul 19 2021
Event2021 Annual Modeling and Simulation Conference, ANNSIM 2021 - Virtual, Fairfax, United States
Duration: Jul 19 2021Jul 22 2021

Publication series

NameProceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

Conference

Conference2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Country/TerritoryUnited States
CityVirtual, Fairfax
Period7/19/217/22/21

Keywords

  • Behavioral and Social Data Analysis
  • Learning Status Decision
  • Learning Task Modeling
  • Looking Behavior Analysis
  • Looking Pattern Analysis

ASJC Scopus subject areas

  • Health(social science)
  • Hardware and Architecture
  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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