Using eye tracking for evaluating web search interfaces

Al-Maqbali, H, Scholer, F, Thom, J and Wu, M 2013, 'Using eye tracking for evaluating web search interfaces', in Shane Culpepper, Guido Zuccon (ed.) Proceedings of the 18th Australasian Document Computing Symposium, Brisbane, Australia, 5-6 December 2013, pp. 2-9.


Document type: Conference Paper
Collection: Conference Papers

Title Using eye tracking for evaluating web search interfaces
Author(s) Al-Maqbali, H
Scholer, F
Thom, J
Wu, M
Year 2013
Conference name ADCS '13
Conference location Brisbane, Australia
Conference dates 5-6 December 2013
Proceedings title Proceedings of the 18th Australasian Document Computing Symposium
Editor(s) Shane Culpepper, Guido Zuccon
Publisher ACM
Place of publication New York, United Sates
Start page 2
End page 9
Total pages 8
Abstract Using eye tracking in the evaluation of web search interfaces can provide rich information on users' information search behaviour, particularly in the matter of user interaction with different informative components on a search results screen. One of the main issues affecting the use of eye tracking in research is the quality of captured eye movements (calibration), therefore, in this paper, we propose a method that allows us to determine the quality of calibration, since the existing eye tracking system (Tobii Studio) does not provide any criteria for this aspect. Another issue addressed in this paper is the adaptation of gaze direction. We use a black screen displaying for 3 seconds between screens to avoid the effect of the previous screen on user gaze direction on the coming screen. A further issue when employing eye tracking in the evaluation of web search interfaces is the selection of the appropriate filter for the raw gaze-points data. In our studies, we filtered this data by removing noise, identifying gaze points that occur in Area of Interests (AOIs), optimising gaze data and identifying viewed AOIs.
Subjects Information Retrieval and Web Search
Computer-Human Interaction
Keyword(s) Information Retrieval
User Studies Involving Documents
Web Documents
Eye Tracking
DOI - identifier 10.1145/2537734.2537747
Copyright notice © 2013 ACM
ISBN 9781450325240
Versions
Version Filter Type
Altmetric details:
Access Statistics: 163 Abstract Views  -  Detailed Statistics
Created: Tue, 21 Jan 2014, 08:24:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us