Gaze dependant prefetching of web content to increase speed and comfort of web browsing. Issue 78 (June 2015)
- Record Type:
- Journal Article
- Title:
- Gaze dependant prefetching of web content to increase speed and comfort of web browsing. Issue 78 (June 2015)
- Main Title:
- Gaze dependant prefetching of web content to increase speed and comfort of web browsing
- Authors:
- Rozado, David
El Shoghri, Ahmad
Jurdak, Raja - Abstract:
- Abstract: Video-oculography gaze tracking permits the monitoring of a computer user׳s point of regard (PoR) on the screen by tracking with a video camera the centre of the pupil and patterns of infrared reflections on the cornea. Gaze tracking has been used as an alternative to traditional pointing mechanisms during human computer interaction. Gaze direction provides also an implicit but imprecise hint about intention. This work uses gaze as a source of information about user׳s intention. We explore how to benefit from behind the scenes gaze tracking in a web browsing scenario by employing the user׳s PoR to prefetch URLs of potential future interest. Our working hypothesis is that before clicking on a URL of interest, the user would have previously fixated at the URL and/or the surrounding area. Hence, using gaze data to prefetch URLs can speed up web navigation and increase user comfort. The results of our experiments show that browsing the web using prefetching of web content based on gaze activity is in fact faster than traditional browsing. The caveat of our approach is that the network traffic volume increases as a result of the prefetching activity occurring in the browser׳s background. We have also carried out additional experiments to find out the optimal trade-off between speed gain and network traffic increase in a prefetching scenario. Leveraging upon the positive results of our experiments, we postulate the idea of an attentive computer system that monitors usersAbstract: Video-oculography gaze tracking permits the monitoring of a computer user׳s point of regard (PoR) on the screen by tracking with a video camera the centre of the pupil and patterns of infrared reflections on the cornea. Gaze tracking has been used as an alternative to traditional pointing mechanisms during human computer interaction. Gaze direction provides also an implicit but imprecise hint about intention. This work uses gaze as a source of information about user׳s intention. We explore how to benefit from behind the scenes gaze tracking in a web browsing scenario by employing the user׳s PoR to prefetch URLs of potential future interest. Our working hypothesis is that before clicking on a URL of interest, the user would have previously fixated at the URL and/or the surrounding area. Hence, using gaze data to prefetch URLs can speed up web navigation and increase user comfort. The results of our experiments show that browsing the web using prefetching of web content based on gaze activity is in fact faster than traditional browsing. The caveat of our approach is that the network traffic volume increases as a result of the prefetching activity occurring in the browser׳s background. We have also carried out additional experiments to find out the optimal trade-off between speed gain and network traffic increase in a prefetching scenario. Leveraging upon the positive results of our experiments, we postulate the idea of an attentive computer system that monitors users gaze and takes preventive or assertive action in terms of what the user is likely to do next based on the direction of gaze. To our knowledge, this is the first in-depth study on the concept of prefetching content of potential future interest in advance using the information gathered by monitoring a user׳s gaze. Abstract : Highlights: Propose method to speed up web browsing speed by monitoring user׳s gaze during HCI. Links gazed at are prefetched on browser׳s background during web browsing. If prefetched links are clicked by the user, the already downloaded content is displayed instantly by the browser. Carry out user study to quantify the advantages of the prefetching method. Additional experiments carried out to find the optimal trade-off between speed gain and network traffic increase. … (more)
- Is Part Of:
- International journal of human-computer studies. Issue 78(2015)
- Journal:
- International journal of human-computer studies
- Issue:
- Issue 78(2015)
- Issue Display:
- Volume 78, Issue 78 (2015)
- Year:
- 2015
- Volume:
- 78
- Issue:
- 78
- Issue Sort Value:
- 2015-0078-0078-0000
- Page Start:
- 31
- Page End:
- 42
- Publication Date:
- 2015-06
- Subjects:
- Human computer interaction -- Web browsing -- Eye tracking -- Gaze tracking -- Prefetching -- Gaze aware interfaces -- Pervasive computing -- HCI -- Gaze responsive interfaces
Human-machine systems -- Periodicals
Systems engineering -- Periodicals
Human engineering -- Periodicals
Human engineering
Human-machine systems
Systems engineering
Periodicals
Electronic journals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10715819 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhcs.2015.02.006 ↗
- Languages:
- English
- ISSNs:
- 1071-5819
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.288100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6358.xml