This master thesis aims to identify the current state of the art in research on
complex problem-solving processes in computer-based simulations using eyetracking. Additionally, this thesis conducts a pilot study to illustrate how eye-tracking
can help gain insights into problem-solving processes in the business domain. -
Methodology: First, this thesis will describe the theoretical backgrounds of complex
problem-solving and eye-tracking methodology. Second, a systematic literature review
shows the current state of the art in this research branch. Third, this thesis continues
to conduct a pilot study to observe eye movements in the business domain's problem-solving process. -
Results: The literature review shows that most studies focus on a cognitive dimension
of problem solving and temporal eye-tracking measurements. Different patterns of
attentional behavior examine problem-solving processes for high and low performing
groups. The pilot study shows a need to redesign the current study in task design and
AOI placement. -
Conclusion: Eye-Tracking is a promising method for further research on learning
processes. This thesis will discuss the implications and limitations of this work.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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