Attention Sensitive Web Browsing

TL;DR

This paper explores using EEG-based attention measurement to enhance web browsing by controlling UI elements, creating attention-sensitive websites, and improving user interaction, leveraging affordable EEG devices like NeuroSky MindWave.

Contribution

It introduces novel methods for integrating EEG attention data into web browsing, including UI control, responsiveness, and developer tools for attention-sensitive design.

Findings

EEG attention can effectively control web UI elements.

Web browser responsiveness improves with attention data.

Feasibility of EEG-based web standards is discussed.

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.