Quantitative Multimodal Interaction Analysis for the assessment of problem-solving skills in a collaborative online game

Alejandro Andrade, Bryan Maddox, David Edwards, Pravin Chopade, Saad Khan

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

2 Citations (Scopus)

Abstract

We propose a novel method called Quantitative Multimodal Interaction Analysis to understand the meaning of interactions from a set of multimodal observable behavior. We apply this method for the measurement of collaborative problem-solving skills in a dyadic online game specially designed for this purpose. We outline our assumptions and describe the machine learning approach that help us tag multimodal behaviors connecting the theoretical construct with the empirical evidence.

Original languageEnglish
Title of host publicationAdvances in Quantitative Ethnography - 1st International Conference, ICQE 2019, Proceedings
EditorsBrendan Eagan, Amanda Siebert-Evenstone, Morten Misfeldt
PublisherSpringer
Pages281-290
Number of pages10
ISBN (Print)9783030332310
DOIs
Publication statusPublished - 11 Oct 2019
Event1st International Conference on Quantitative Ethnography, ICQE 2019 - Madison, United States
Duration: 20 Oct 201922 Oct 2019

Publication series

NameCommunications in Computer and Information Science
Volume1112
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Conference on Quantitative Ethnography, ICQE 2019
CountryUnited States
CityMadison
Period20/10/1922/10/19

Keywords

  • Collaborative Problem-Solving skills
  • Interaction Analysis
  • Multimodal learning analytics

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