Abstract

This document contains all abstracts of the 17th European Conference on Eye Movements, August 11-16 2013 in Lund, Sweden ECEM 2013 has been the 17th European Conference on Eye Movements, with the original aims ‘to exchange information on current research, equipment and software’ remaining at the forefront. ECEM is transdisciplinary, promoting new approaches, co-operation between research fields and communication between researchers. It has grown from it’s origins as a small, specialist conference to a large international event, covering all aspects of basic and applied research using eye movements ( see information from previous conferences in the archive). Today, ECEM is the largest conference on eye movements in the world, based on number of submissions. In keeping with the tradition of supporting young researchers and promoting new research. In the days prior to the conference, ECEM 2013 has included methods courses for all interested delegates on several aspects of eye movements research and applications, led by top international experts (see method workshops). Panel discussions during the conference have provided a forum for communication between researchers, manufacturers and interface designers on new and emerging themes in eye movements research and technology.(see program). The exhibition included top eye tracker manufacturers (see exhibition). ECEM 2013 bought together neurophysiologists, psychologists, neuropsychologists, clinicians, linguists, computational and applied scientists, engineers and manufacturers interested in the movements of the eyes, with an emphasis on learning from each other and promoting development of the field. This ECEM was hosted by the Eye Tracking Group at Lund University, Sweden, and organised by the Eye Movement Researcher's Association (EMRA) and the COGAIN (communication through gaze interaction) association, to promote interdisciplinary, basic and applied research excellence.

Highlights

  • In sports and traffic education settings, watching video clips on a PC screen are used for the education of attention

  • We investigate how classification accuracy depends on recording time and show that nine-in-ten are correctly classified after only 30 seconds of tracking time

  • We found that experts outperformed the other groups significantly: the number of correctly diagnosed CT images increased with growing expertise and experts were more specific in their elaborations

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Summary

Introduction

In sports and traffic education settings, watching video clips on a PC screen are used for the education of attention. Participants watched the same clips on the Remote Eye tracking Device (RED - SMI, 120Hz) on a PC screen (22”), from a seated position. Eye movements recorded with RED while seated were different from visual behaviour recorded with HED while executing corresponding fencing actions. This partly jeopardizes the use of PC-based video clips for tactical training in sport. A working memory task (pattern transformation) was performed under classical music (N =16), favorite music (N = 20) and no music (N = 19) conditions with eye-tracking measurement. The results indicated that participants from favorite music condition spent the least effort in loading information, whereas participants spent similar amount of effort when they were solving the cognitive task

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