EyeCrowdata: Towards a Web-based Crowdsourcing Platform for Web-related Eye-Tracking Data

Abstract

Eye-tracking studies are commonly used for identifying the usability problems of Web pages and gaining insights into how the design of Web pages can be improved for better user experience. Similar to other user studies, eye-tracking studies should be carefully designed and conducted by considering ethical issues and confounding factors, and therefore these studies typically require a considerable amount of time. Recruiting a large number of participants is also an important issue as eye-tracking sessions may not be conducted in parallel in case of limited resources such as equipment and researchers. Previous work highlighted the need for a Web-based platform to crowdsource Web-related eye-tracking data and facilitate data sharing, thus allowing the replication of existing analysis. Previous work also presented a preliminary structured literature review on what kinds of metrics are required for such a platform. In this paper, we also focus on Web-related eye-tracking studies, and we present an overview of the extended version of the structured literature review along with a prototype for a Web-based platform for crowdsourcing Web-related eye-tracking data called EyeCrowdata.