Visually Perceived Relevance of Objects reveals Learning Improvements and Task Difficulty
Sprache des Titels:
PETRA ?18: The 11th PErvasive Technologies Related to Assistive Environments Conference, June 26?29, 2018, Corfu, Greece.
Recently, there has been increased interest in eye tracking and
eye-based human-computer interaction research, as gaze reveals
attention and intention information, making it highly interesting as
an input modality for cognitive assistant systems. In this paper, we
present how to apply gaze-awareness in an industrial environment
to create such a cognitive assistant system. A prototypical system
was built upon a mobile eye tracker, that analyses the user?s field of
view, to recognize possible objects of interest, while simultaneously
checking for gaze fixations. A twenty-one participants user study
was carried out, which builds upon established hypothesis of a
correlation between eye fixations and the relevance of objects and
additionally shows that this relationship changes over multiple
tasks and runs, revealing learning improvements and task difficulty.
Both features are vital for a reduction of amount of the support an
assistance system provides towards its users, resulting in an overall
better user experience.