Interactions with in-vehicle electronic devices can interfere with the primary task of driving and increase crash risk. Interactions with in-vehicle interfaces draw upon visual, auditory, psychomotor, and cognitive resources. Researchers often investigate how these resources interfere with performance through the use of different measurement techniques, particularly doing so in applied settings such as automotive scenarios. The goal of this workshop is to share knowledge with the community regarding the theoretical underpinnings, collection, and filtering of eye tracking data, particularly focusing on gaze distribution (percent on fixations on road center and time/number of gazes on visual field), blink rate, height of gaze in visual field, and pupil size measures of cognitive load within the scope of automotive research. The workshop will describe and demonstrate the theory behind these measures, approaches and issues in regards to collection, and successful methods of filtering data eye tracking measures. The focus of the workshop will be on ensuring participants acquire an understanding of the theoretical reasoning behind the measures shown in the workshop as well as practical knowledge of how to collect and filter data.
|Titel||Automotive'UI 16 Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications|
|Publikationsstatus||Veröffentlicht - 2016|
- Ehemaliges Research Field - Technology Experience