NDLI: EyeSee3D 2.0: model-based real-time analysis of mobile eye-tracking in static and dynamic three-dimensional scenes

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EyeSee3D 2.0: model-based real-time analysis of mobile eye-tracking in static and dynamic three-dimensional scenes

Content Provider	ACM Digital Library
Author	Pfeiffer-Leßmann, Nadine Pfeiffer, Thies Renner, Patrick
Abstract	With the launch of ultra-portable systems, mobile eye tracking finally has the potential to become mainstream. While eye movements on their own can already be used to identify human activities, such as reading or walking, linking eye movements to objects in the environment provides even deeper insights into human cognitive processing. We present a model-based approach for the identification of fixated objects in three-dimensional environments. For evaluation, we compare the automatic labelling of fixations with those performed by human annotators. In addition to that, we show how the approach can be extended to support moving targets, such as individual limbs or faces of human interaction partners. The approach also scales to studies using multiple mobile eye-tracking systems in parallel. The developed system supports real-time attentive systems that make use of eye tracking as means for indirect or direct human-computer interaction as well as off-line analysis for basic research purposes and usability studies.
Starting Page	189
Ending Page	196
Page Count	8
File Format	PDF
ISBN	9781450341257
DOI	10.1145/2857491.2857532
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	3d Social interaction Joint attention Mobile eye tracking Gaze analysis Eye tracking Augmented reality
Content Type	Text
Resource Type	Article

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