An Analysis of Human Engagement Behaviour Using Descriptors from Human Feedback, Eye Tracking, and Saliency Modelling

Pallab Podder, Manoranjan Paul, Tanmoy Debnath, Manzur Murshed

Research output: Book chapter/Published conference paperConference paper

6 Citations (Scopus)
2 Downloads (Pure)

Abstract

In this paper an analysis of human engagement behaviour with video is presented based on real life experiments. An engagement model could be employed in classroom education, enhancing programming skills, reading etc. Two groups of people, independent of one another, watched eighteen video clips separately at different times. The first group's participants' eye gaze locations, right and left pupil sizes, and eye blinking patterns were recorded by a state of the art Tobii eye tracker. The second group of people who are video experts opined about the most significant attention points of the videos. A well known bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), was also utilized to create salient points for the videos. Taking into consideration of all the above mentioned descriptors the introduced behaviour analysis demonstrates the level of participants'' concentration with the videos.
Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-9
Number of pages9
ISBN (Electronic)9781467367950
DOIs
Publication statusPublished - 2015
Event2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Adelaide Town Hall, Adelaide, Australia
Duration: 23 Nov 201525 Nov 2015
http://dictaconference.org/dicta2015/index.html

Conference

Conference2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CityAdelaide
Period23/11/1525/11/15
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS). DICTA 2015 is endorsed by the IAPR and technically co-sponsored by the IEEE. The proceedings of the conference will be submitted for inclusion to IEEE Xplore.
Internet address

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    Podder, P., Paul, M., Debnath, T., & Murshed, M. (2015). An Analysis of Human Engagement Behaviour Using Descriptors from Human Feedback, Eye Tracking, and Saliency Modelling. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-9). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2015.7371227