An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling

Pallab Podder; Manoranjan Paul; Tanmoy Debnath; Manzur Murshed

doi:10.1109/DICTA.2015.7371227

An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling

Pallab Podder, Manoranjan Paul, Tanmoy Debnath, Manzur Murshed

Federation University

Research output: Book chapter/Published conference paper › Conference paper › peer-review

12 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 language	English
Title of host publication	Proceedings of the 2015 International Conference on Digital Image Computing
Subtitle of host publication	Techniques and Applications
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781467367950
DOIs	https://doi.org/10.1109/DICTA.2015.7371227
Publication status	Published - 2015
Event	2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Adelaide Town Hall, Adelaide, Australia Duration: 23 Nov 2015 → 25 Nov 2015 http://dictaconference.org/dicta2015/index.html (Conference website) http://dictaconference.org/dicta2015/program.html (Conference program)

Conference

Conference	2015 International Conference on Digital Image Computing
Country/Territory	Australia
City	Adelaide
Period	23/11/15 → 25/11/15
Other	The 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	http://dictaconference.org/dicta2015/index.html (Conference website) http://dictaconference.org/dicta2015/program.html (Conference program)

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10.1109/DICTA.2015.7371227

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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. 1-8). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2015.7371227

Podder, Pallab ; Paul, Manoranjan ; Debnath, Tanmoy et al. / An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling. Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications. United States : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 1-8

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title = "An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling",

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.",

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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. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1-8, 2015 International Conference on Digital Image Computing, Adelaide, South Australia, Australia, 23/11/15. https://doi.org/10.1109/DICTA.2015.7371227

An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling. / Podder, Pallab; Paul, Manoranjan ; Debnath, Tanmoy et al.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications. United States: IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1-8.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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AB - 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.

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Podder P, Paul M , Debnath T, Murshed M. 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. United States: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 1-8 doi: 10.1109/DICTA.2015.7371227

An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling

Abstract

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