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What scroll can teach us about web users ?
Alexandre Milisavljevic, Karine Doré-Mazars, Bernard Gosselin, Matei Mancas, Coralie Petermann

What scroll can teach us about web users ?

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

Understanding why a user is on a webpage is a good way to deduce his or her interest in the content. To measure this interest, Eye-tracking is a precise tool that allows to estimate goal impact on user’s eye-gaze. However, this method is hard to scale up, that is why mouse-tracking models emerged as an efficient proxy to determine user’s attention. These same models mainly use mouse movements, mouse clicks and hovered page elements while considering scrolling as a simple model feature. In addition to these analyses, other studies focused on how the eye behave during onscreen reading using scroll. During our exploratory research we analysed users’ eye-gaze behaviour on webpages while scrolling. In order to accomplish this, we asked local Signal Processing department students to visit ten websites divided in three task groups : target finding, free viewing and text reading. Our preliminary results show a link between initial eye position and scroll speed. We divided the screen in six different areas and found out that depending on which area the eye was focusing on, participants adapted their scroll speed. This could reflect cognitive load in progress. Furthermore, we discovered that when the eye-gaze preceding the scroll goes in the same direction as the scroll, the scroll is faster.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title What scroll can teach us about web users ?
Author / Organization Alexandre Milisavljevic, Karine Doré-Mazars, Bernard Gosselin, Matei Mancas, Coralie Petermann
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-173691
Original Source Link Visit Source Page on hal.science »