Eye and Mouse Coordination During Task: From Behaviour to Prediction

Alexandre Milisavljevic, Alexandre Milisavljevic, Kevin Hamard, Kevin Hamard, Coralie Petermann, Coralie Petermann, Bernard Gosselin, Bernard Gosselin, Karine Doré-Mazars, Karine Doré-Mazars, Matei Mancas, Matei Mancas

Abstract

The study of web users’ behaviour is of crucial importance for understanding people reaction when browsing websites. Eye-tracking is a precise tool for this purpose, but it is hard to scale up when trying to apply it to a wide range of situations and websites. On the other hand, mouse-tracking fulfills these requirements. Unfortunately, mouse data provides a limited approximation of the eye position as it was shown in the literature. In this paper, we investigated the relationship between mouse and eye behaviour on several kind of websites with three different tasks to create models based on these behaviours. Our findings were that 1) saliency Pearson’s correlation is not suitable to analyse eye and mouse coordination, 2) this coordination is altered according to the task, 3) scroll speed directly influence where the eyes are during the scroll, 4) amplitude vary according to eyes position before the scroll and 5) by using the X axis variations it is possible to find the moments where it is easier to model eyes location from mouse location.

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Paper Citation


in Harvard Style

Milisavljevic A., Hamard K., Petermann C., Gosselin B., Doré-Mazars K. and Mancas M. (2018). Eye and Mouse Coordination During Task: From Behaviour to Prediction.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, ISBN 978-989-758-288-2, pages 86-93. DOI: 10.5220/0006618800860093


in Bibtex Style

@conference{hucapp18,
author={Alexandre Milisavljevic and Kevin Hamard and Coralie Petermann and Bernard Gosselin and Karine Doré-Mazars and Matei Mancas},
title={Eye and Mouse Coordination During Task: From Behaviour to Prediction},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP,},
year={2018},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006618800860093},
isbn={978-989-758-288-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP,
TI - Eye and Mouse Coordination During Task: From Behaviour to Prediction
SN - 978-989-758-288-2
AU - Milisavljevic A.
AU - Hamard K.
AU - Petermann C.
AU - Gosselin B.
AU - Doré-Mazars K.
AU - Mancas M.
PY - 2018
SP - 86
EP - 93
DO - 10.5220/0006618800860093


in Harvard Style

Milisavljevic A., Hamard K., Petermann C., Gosselin B., Doré-Mazars K. and Mancas M. (2018). Eye and Mouse Coordination During Task: From Behaviour to Prediction.In - HUCAPP, ISBN , pages 0-0. DOI: 10.5220/0006618800860093


in Bibtex Style

@conference{hucapp18,
author={Alexandre Milisavljevic and Kevin Hamard and Coralie Petermann and Bernard Gosselin and Karine Doré-Mazars and Matei Mancas},
title={Eye and Mouse Coordination During Task: From Behaviour to Prediction},
booktitle={ - HUCAPP,},
year={2018},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006618800860093},
isbn={},
}


in EndNote Style

TY - CONF

JO - - HUCAPP,
TI - Eye and Mouse Coordination During Task: From Behaviour to Prediction
SN -
AU - Milisavljevic A.
AU - Hamard K.
AU - Petermann C.
AU - Gosselin B.
AU - Doré-Mazars K.
AU - Mancas M.
PY - 2018
SP - 0
EP - 0
DO - 10.5220/0006618800860093