Scanpaths distinguish problem format in a math cognition task
- Samantha Stranc, Institute of Cognitive Science, Carleton University, Ottawa, Ontario, Canada
- Shawn Tan, Institute of Cognitive Science, Carleton University, Ottawa, Ontario, Canada
- Kasia Muldner, Carleton University, Ottawa, Ontario, Canada
AbstractEye tracking data can inform on cognitive processes. To date, the most common type of analysis corresponds to fixation data. Consequently, less is known about the potential utility of scanpaths, which are sequences of eye fixations. In the present paper, we analyzed scanpaths collected as participants solved basic arithmetic problems in two formats: a multiplication format and a division format. The results show that scanpaths do distinguish between the two formats, as reflected by varying similarity scores obtained through the MultiMatch scanpath tool.
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