Attention Sensitive Web Browsing
January 06, 2016 Β· Declared Dead Β· π Compute
"No code URL or promise found in abstract"
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Authors
Joy Bose, Amit Singhai, Anish Patankar, Ankit Kumar
arXiv ID
1601.01092
Category
cs.HC: Human-Computer Interaction
Citations
7
Venue
Compute
Last Checked
4 months ago
Abstract
With a number of cheap commercial dry EEG kits available today, it is possible to look at user attention driven scenarios for interaction with the web browser. Using EEG to determine the user's attention level is preferable to using methods such as gaze tracking or time spent on the webpage. In this paper we use the attention level in three different ways. First, as a control mechanism, to control user interface elements such as menus or buttons. Second, to make the web browser responsive to the current attention level. Third, as a means for the web developer to control the user experience based on the level of attention paid by the user, thus creating attention sensitive websites. We present implementation details for each of these, using the NeuroSky MindWave sensor. We also explore issues in the system, and possibility of an EEG based web standard.
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