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From:
chandan kumar <[log in to unmask]>
Reply To:
chandan kumar <[log in to unmask]>
Date:
Mon, 13 Jan 2020 22:07:43 +0100
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ETWEB - Eye Tracking for the Web as a co-located event at the ACM Symposium
on Eye Tracking Research & Applications, ETRA 2020, June 2-5, 2020 in
Stuttgart, Germany.
http://etra.acm.org/2020/etweb.html

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. Furthermore, the applications of eye tracking can
break the interaction barrier and improve the quality of life of those with
limited ability to communicate. In that regard, it is interesting to
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).

Continuing the success of 1st ETWEB at ETRA 2019, the second edition will
be organized as a co-located event at ETRA 2020. 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



*Important Dates*
February 15 - Paper submission
March 10 - Feedback
March 15 - Rebuttals
March 22 - Decisions
April 2 - Camera Ready



*Submission*
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.


*Organizers*
Chandan Kumar, University of Koblenz, Germany
Raphael Menges, University of Koblenz, Germany
Yeliz Yeşilada, METU Northern Cyprus Campus



--
Dr. Chandan Kumar
Interactive Web and Human Computing
Institute for Web Science and Technologies
Building B - Room 113
Universität Koblenz-Landau
Universitätsstraße 1
D - 56070 Koblenz
http://chandankumar.net

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