An eye-tracking study examining the benefits of a proactive human-computer-interaction has been conducted. Regarding the beneficial aspects of knowledge transfer, the data shows a clear benefit once the system has been enhanced by the so called electronic educational instance which tracks a user’s gaze and thereby infers whether or not someone is actually looking at a screen while the e-learning software is conveying its knowledge. To further show how a physiological input might be used as a form of input, current literature of smoothing pupillary response data is discussed and a preliminary tool is presented. Due to this, pupillary data can be used to indicate cognitive load levels while learning and would therefore allow a proactive system to change the e-learning program accordingly.
CITATION STYLE
Müller-Wuttke, M., & Müller, N. H. (2019). Cognitive Load Levels While Learning with or Without a Pedagogical Agent. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11590 LNCS, pp. 266–276). Springer Verlag. https://doi.org/10.1007/978-3-030-21814-0_20
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