Examining computer supported collaborative problem solving processes using the dual-eye tracking paradigm

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2013

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Uzunosmanoğlu, Selin Deniz

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The aim of this study is to examine the computer supported collaborative problem solving processes. This study tries to identify which situations the participants' eye movements, and eye gazes overlap, and how the percentage of this overlap contribute to the collaborative problem solving process. Hypothesis of this study is that pairs whose eye movements overlap are more successful in collaboration than others. This study was conducted with 18 students from the Middle East Technical University. Participants tried to solve 10 geometry problems interacting with each other using Virtual Math Teams (VMT) environment. In the experiments, participants’ eye movements were collected with two eye trackers, and examined with eye tracking software. With these data, it was identified which part of the screen the participants looked at. Before the experiments, a questionnaire was filled by participants in order to state their demographic information. After experiments, a survey was applied including System Usability Scale and open-ended questions about participants' comments. Eye-tracker data were analyzed both quantitatively and qualitatively. For quantitative data, cross-recurrence analysis method was used. For qualitative data, interaction analysis method was used to examine experiments' videos. The results show that pairs who collaborate with higher level have more gazes overlapping than pairs having with low level. In addition to this, good pairs show more shared understanding, anticipatory gazes, and helping each other. Answers of the open-ended questions are, also, consistent with the quantitative and qualitative data. Furthermore, the interface and usability problem of VMT were presented and discussed.

Subject Keywords

Computer-assisted instruction., Problem-based learning., Visual perception.

URI

http://etd.lib.metu.edu.tr/upload/12616498/index.pdf
https://hdl.handle.net/11511/23086

Collections

Graduate School of Informatics, Thesis

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Citation Formats

S. D. Uzunosmanoğlu, “Examining computer supported collaborative problem solving processes using the dual-eye tracking paradigm,” M.S. - Master of Science, Middle East Technical University, 2013.