ETWEB

The Web offers rich information and services that have considerable impact on our daily lives. Enhancing the usability and the accessibility of Web interaction are relevant areas of research to make the Web more useful for end-users. The eye gaze is a strong indicator for attention, which provides insights into how a user perceives an interface and helps analysts to assess the user experience. Researchers and commercial organizations are interested to assess the attention on certain portions of a Web page, e.g., which sections are read, glanced, or skipped by users, and the Web page usability in general. The content on a Web page might be a dynamic stimulus, which is difficult to synchronize between multiple users because of its interactive nature. Hence, the focus of ETWEB is to encourage research on accurate stimulus representations of dynamic Web pages, mapping of gaze data and visualization methods to analyze the usability of Web pages. Furthermore, the applications of eye tracking can break the interaction barrier and improve the quality of life of those with limited ability to communicate. However, most graphical user interfaces for Web access are not designed for use with eye tracking devices, which often have limited accuracy or may require unconventional selection techniques that interfere with access to information. In that regard, we encourage submissions that explore the adaptation mechanism of Web interfaces for gaze interaction (i.e., using gaze signals obtained from eye tracking devices to control the Web application environment).

ETWEB will cover topics that are related to Web (interface semantics extraction, interaction adaptation, etc.) and eye tracking (attention visualization, crowdsourcing, etc.). We particularly welcome submissions that address the following topics with an emphasis on the relationship between eye tracking and the Web:

• • Web site usability analysis techniques using eye movement data
  • Standardized metrics for evaluating interactions and usability
  • Enable usability optimization with eye tracking on highly dynamic Web content
  • Enhance the user experience in the Web by enabling an easy and complete understanding of a user and her behavior
  • Understanding eye-tracking data for re-engineering Web pages
  • Gaze data visualization on Web stimulus
  • Analyzing Web search and browsing behaviors through gaze pattern
  • Social media browsing behavior analysis
  • Correlating mouse clicks and gaze data with Web browsing behavior
  • Gaze-based Web usability studies via crowdsourcing approaches
  • Corpus of eye tracking ground truth data on Web pages
  • Eye tracking interaction techniques to assist people with disabilities
  • Multimodal interaction with Web (gaze, mouse, voice, touch, EEG, etc.)
  • Interactive annotation of gaze and Web stimulus data
  • Techniques to integrate eye gaze as an input element in Web development
  • Reports of eye tracking studies evaluating Web accessibility and usability

Authors are invited to submit their work complying with the ETRA short and long paper format http://etra.acm.org/2020/cfp.html. Long papers (6-8 pages) encourage more matured research with evaluation results. Short papers (2-4 pages) encourage work in progress, demo papers, and also position papers identifying the challenges of gaze-based Web interaction and analysis. References do not count to page limit. Papers should be submitted electronically in PDF format to ETWEB over the ETRA Precision Conference System (PCS) https://new.precisionconference.com/user/login?society=etra submission system. At least one author of each accepted ETWEB paper must register for the ETRA conference.

Accepted papers of both types will be included in the ACm ETRA Adjunct Proceedings (ACM Digital Library). Furthermore, the accepted papers will be invited for the NRHM journal https://www.tandfonline.com/loi/tham20 upcoming special issue on "New methods for Web Interaction and Analysis".