Home      Log In      Contacts      FAQs      INSTICC Portal
Special Session
Special Session on
Eye-Tracking Research and Applications in Health
 - ETRAH 2015

12 - 15 January, 2015 - Lisbon, Portugal

Within the International Conference on Health Informatics - HEALTHINF 2015



Enkelejda Kasneci
University of Tübingen
Brief Bio
Enkelejda Kasneci, received her Ph.D. in Computer Science from the University of Tübingen, Germany. She is senior researcher at the Department of Computer Engineering at the University of Tübingen. Her research activity is mainly focused on Visual Perception and Attention, Integration of eye-tracking into diagnostic processes, Analysis of eye-tracking data, and Application of machine learning in vision-related topics.
Gjergji Kasneci


Brief Bio
Gjergji Kasneci received his Ph.D. in Computer Science from the Saarland University in Germany. From 2009 to 2011, he worked as a postdoctoral researcher at Microsoft Research Cambridge, UK. In 2012, he joined the Hasso Plattner Institute in Potsdam, Germany, as a senior researcher. Since 2014, he heads the department for Innovation and Strategic Analysis at SCHUFA Holding AG. His main research interests are focused around Knowledge Engineering and Probabilistic Reasoning.


Recent advances in the field of eye tracking have led to a large number of scientific investigations on eye movements. Meanwhile, eye-tracking devices have found broad applications in the areas of market research, human-machine interaction, medical research, diagnostics, surgery, etc.
Beyond its usage as a means to study the patient, eye tracking has been employed to improve diagnostic processes and to train the medical staff.
The analysis of eye-tracking data, however, is still very laborious.
This session will serve as a platform for contributions to health-related applications of eye tracking and the analysis of eye-tracking data.

Visual Perception
Eye tracking
Pattern recognition and Machine Learning
Human-Machine Interfaces for Disabled Persons
Data Visualization
Practice-based Research Methods for Healthcare IT
Physiological Modeling


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Google Scholar, Semantic Scholar, and Microsoft Academic.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


HEALTHINF Special Sessions - ETRAH 2015
e-mail: healthinf.secretariat@insticc.org