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.
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References
McNeill, D.: Gesture and Thought. University of Chicago press, Chicago (2008)
Jordan, B., Henderson, A.: Interaction analysis: Foundations and practice. J. Learn. Sci. 4, 39–103 (1995)
Goffman, E.: Forms of Talk. University of Pennsylvania Press, Philadelphia (1981)
Goodwin, C.: Action and embodiment within situated human interaction. J. Pragmat. 32, 1489–1522 (2000)
Kaptelinin, V., Nardi, B.A.: Acting with Technology: Activity Theory and Interaction Design. MIT press, Cambridge (2006)
Bavelas, J., Gerwing, J., Healing, S.: Doing mutual understanding. Calibrating with micro-sequences in face-to-face dialogue. J. Pragmat. 121, 91–112 (2017)
Chopade, P., Edwards, D., Khan, S.: Designing a digital jigsaw game based measurement of collaborative problem-solving skills. In: Cunningham, J., et al. (eds.) Companion Proceedings of the 9th International Learning Analytics and Knowledge Conference (LAK 2019), Tempe, Arizona, pp. 26–31. Society for Learning Analytics Research (SoLAR) (2019)
Fiore, S.M., Smith-Jentsch, K.A., Salas, E., Warner, N., Letsky, M.: Towards an understanding of macrocognition in teams: developing and defining complex collaborative processes and products. Theor. Issues Ergon. Sci. 11, 250–271 (2010)
Wittenburg, P., Brugman, H., Russel, A., Klassmann, A., Sloetjes, H.: ELAN: a professional framework for multimodality research. In: 5th International Conference on Language Resources and Evaluation (LREC 2006), pp. 1556–1559. (2006)
Chopade, P., Khan, S., Edwards, D., Davier, A.A.V.: Machine learning for efficient assessment and prediction of human performance in collaborative learning environments. In: 2018 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1–6 (2018)
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Andrade, A., Maddox, B., Edwards, D., Chopade, P., Khan, S. (2019). Quantitative Multimodal Interaction Analysis for the Assessment of Problem-Solving Skills in a Collaborative Online Game. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_24
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DOI: https://doi.org/10.1007/978-3-030-33232-7_24
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