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dc.contributor.authorJermann, Patrick
dc.contributor.authorMullins, Dejana
dc.contributor.authorNüssli, Marc-Antoine
dc.contributor.authorDillenbourg, Pierre
dc.date.accessioned2020-01-08T21:06:00Z
dc.date.accessioned2020-01-09T02:14:37Z-
dc.date.available2020-01-08T21:06:00Z
dc.date.available2020-01-09T02:14:37Z-
dc.date.issued2011-06
dc.identifier.citationJermann, P., Mullins, D., Nüssli, M., & Dillenbourg, P. (2011). Collaborative Gaze Footprints: Correlates of Interaction Quality. In Spada, H., Stahl, G., Miyake, N., & Law, N. (Eds.), Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL2011 Conference Proceedings. Volume I — Long Papers (pp. 184-191). Hong Kong, China: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/cscl2011.184
dc.identifier.urihttps://repository.isls.org//handle/1/2446-
dc.description.abstractDual eye tracking offers new possibilities for the analysis and diagnosis of collaborative interaction. Cross-recurrence analyses and visualizations offer insight into how closely two collaborators' gaze follow each other. We contrast two cases to illustrate how gaze cross-recurrence can be used as a correlate of high and low quality interaction. The intriguing graphical patterns that result from the time coupled traces of the collaborators' fixations are footprints of the quality of the interaction. Good quality interaction features a higher recurrence rate than low quality interaction. The graphical structure of the recurrence plots indicates whether collaborators divide labor and whether they are sharing visual attention.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciencesen_US
dc.titleCollaborative Gaze Footprints: Correlates of Interaction Qualityen_US
dc.typeLong Papersen_US
Appears in Collections:CSCL 2011

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