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Hans Gellersen

EyeContext: Recognition of High-level Contextual Cues from Human Visual Behaviour

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DOI

In this work we present EyeContext, a system to infer high-level contextual cues from human visual behaviour. We conducted a user study to record eye movements of four participants over a full day of their daily life, totalling 42.5 hours of eye movement data. Participants were asked to self-annotate four non-mutually exclusive cues: social (interacting with somebody vs. no interaction), cognitive (concentrated work vs. leisure), physical (physically active vs. not active), and spatial (inside vs. outside a building). We evaluate a proof-of-concept EyeContext system that combines encoding of eye movements into strings and a spectrum string kernel support vector machine (SVM) classifier. Our results demonstrate the large information content available in long-term human visual behaviour and opens up new venues for research on eye-based behavioural monitoring and life logging.
Original languageEnglish
Title of host publicationProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13)
Number of pages4
PublisherACM
Publication year2013
Pages305-308
DOIs
Publication statusPublished - 2013
Externally publishedYes

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