Intelligent Methods for Eye Movement Data Processing and Analysis

Human eyes play an important role in the interpersonal communication and gathering knowledge regarding the surrounding world. The desire to understand this learning process leads to asking many questions: What is the subject looking at? What does he/she see looking at a given point? Did he/she find searched information? What kind of information was gained when looking at a particular area? Is one looking at expected point of regard?

Finding answers to those and other questions is an important task in many fields of interests like psychology, medicine, business, advertising or software developing. This need is reflected in current research areas, among which the cognisance of an eye movement signal has a significant place, because information hidden in this signal can be a valuable source of knowledge. As a result new methods and intelligent systems regarding eye movement data processing and development have to be developed.

The aim of the session was to summarize the current state of the art in the eye movement data analysis and enable prospective researchers to present their new ideas concerning this subject.

Programme Committee:

• Katarzyna Harezlak, Silesian Univesity of Technology, Poland
• Bogdan Hoanca, University of Alaska Anchorage, USA
• Kenneth Holmqvist, Humanities Lab, Lund University, Sweden
• Pawel Kasprowski, Silesian Univesity of Technology, Poland
• Thies Pfeiffer, Faculty of Technology, Bielefeld University, Germany
• Ioannis Rigas, Texas State University, USA
• Raimondas Zemblys, Šiauliai University, Šiauliai, Lithuania

Accepted papers:

• Imbert, J. P., Hurter, C., Peysakhovich, V., Blättler, C., Dehais, F., & Camachon, C.: Design Requirements to Integrate Eye Trackers in Simulation Environments: Aeronautical Use Case.
• Duchowski, A. T., Bolte, T., & Krejtz, K.: Massive-scale gaze analytics exploiting high performance computing.
• Toivanen, M., & Lukander, K.: Improving model-based mobile gaze tracking.
• Yamaya, A., Topiæ, G., Martínez-Gómez, P., & Aizawa, A.: Dynamic-Programming–Based Method for Fixation-to-Word Mapping.
• Dubois, E., Blättler, C., Camachon, C., & Hurter, C.: Eye Movements Data Processing for Ab Initio Military Pilot Training.