Inferring Intent and Action from Gaze in Naturalistic Behavior
العنوان: | Inferring Intent and Action from Gaze in Naturalistic Behavior |
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المؤلفون: | Kai Puolamäki, Miika Toivanen, Kristian Lukander |
المصدر: | International Journal of Mobile Human Computer Interaction. 9:41-57 |
بيانات النشر: | IGI Global, 2017. |
سنة النشر: | 2017 |
مصطلحات موضوعية: | Human-Computer Interaction, 03 medical and health sciences, 0302 clinical medicine, Action (philosophy), 05 social sciences, 0501 psychology and cognitive sciences, Psychology, Gaze, 030217 neurology & neurosurgery, 050105 experimental psychology, Naturalism, Review article, Cognitive psychology |
الوصف: | We constantly move our gaze to gather acute visual information from our environment. Conversely, as originally shown by Yarbus in his seminal work, the elicited gaze patterns hold information over our changing attentional focus while performing a task. Recently, the proliferation of machine learning algorithms has allowed the research community to test the idea of inferring, or even predicting action and intent from gaze behaviour. The on-going miniaturization of gaze tracking technologies toward pervasive wearable solutions allows studying inference also in everyday activities outside research laboratories. This paper scopes the emerging field and reviews studies focusing on the inference of intent and action in naturalistic behaviour. While the task-specific nature of gaze behavior, and the variability in naturalistic setups present challenges, gaze-based inference holds a clear promise for machine-based understanding of human intent and future interactive solutions. |
تدمد: | 1942-3918 1942-390X |
DOI: | 10.4018/ijmhci.2017100104 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::367732b8e58adaece8b1ad8d3805f9d3 https://doi.org/10.4018/ijmhci.2017100104 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi...........367732b8e58adaece8b1ad8d3805f9d3 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 19423918 1942390X |
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DOI: | 10.4018/ijmhci.2017100104 |