Authors:
Daniel Stuhlmacher
1
;
3
;
1
and
René Kockord
2
Affiliations:
1
Physikalisch-Technische Bundesanstalt, Germany
;
2
Technische Universität Braunschweig, Germany
;
3
Universität Potsdam, Germany
Keyword(s):
Mixed Reality, Eye-Tracking, Head-Mounted Display, Cognitive Load, Intrinsic Cognitive Load, Germane Cognitive Load, Extraneous Cognitive Load, HMD-MR, Python, Evaluation Software, Adaptive Applications.
Abstract:
The rapid development of mixed reality is also affecting the educational sector, offering innovative learning environments but also creating new challenges. For adaptive learning environments in mixed reality the cognitive
load of the users plays an important role since it can reflect, amongst others, how to adjust level of difficulty to
best support the learner. Modern mixed reality head-mounted devices often come along with integrated eyetrackers, simplifying the investigation of cognitive load by means of eye-tracking. This paper investigates the
relationship between certain eye-tracking metrics and cognitive load in a mixed reality learning environment
to provide a basis for more adaptive learning systems. The results show that selected eye-tracking parameters
correlate significantly with different subtypes of cognitive load, the most promising of which are the fixation
rate and the relative percentage of fixations. The analysis is based on data from a study that investigat
ed the
first time contact with a mixed reality head-mounted device while performing simple tasks with virtual dice.
Cognitive load and its subtypes were assessed after each task using self-rating scales
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