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Licensed Unlicensed Requires Authentication Published by De Gruyter Oldenbourg August 17, 2017

Towards pervasive eye tracking

  • Enkelejda Kasneci

    Enkelejda Kasneci is a Junior Professor of Computer Science at the University of Tübingen, Germany, where she leads the Perception Engineering Group. As a scholar of the Roberst Bosch Foundation, she received her M.Sc. degree in Computer Science from the University of Stuttgart in 2007. In 2013, she received her PhD in Computer Science from the University of Tübingen. For her PhD research, she was awarded the research prize of the Federation Südwestmetall in 2014. From 2013 to 2015, she was a Margarete-von-Wrangell Fellow. Her main research interests are human vision, eye-tracking technology and applications, and driver assistance systems. She serves as a reviewer and PC member for several journals and major conferences. Her research and engagement was awarded with the NVIDIA Hardware grant and the Junior Fellowship of the Gesellschaft für Informatik. Enkelejda is founder of LeadersLikeHer, the world's first open career network that for women from industrial, research and public organizations.

    University of Tübingen, Department of Computer Science, Perception Engineering Group, 72076 Tübingen, Germany

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Abstract

The human gaze provides paramount cues for communication and interaction. Following this insight, gaze-based interfaces have been proposed for human-computer interaction (HCI) since the early 90s, with some believing that such interfaces will revolutionize the way we interact with our devices. Since then gaze-based HCI in stationary scenarios (e. g., desktop computing) has been rapidly maturing, and the production costs of mainstream eye trackers have been steadily decreasing. In consequence, a variety of new applications with the ambitious goal to apply eye tracking to dynamic, real-world HCI tasks and scenarios have emerged. This article gives an overview of the research conducted by the Perception Engineering Group at the University of Tübingen.

About the author

Enkelejda Kasneci

Enkelejda Kasneci is a Junior Professor of Computer Science at the University of Tübingen, Germany, where she leads the Perception Engineering Group. As a scholar of the Roberst Bosch Foundation, she received her M.Sc. degree in Computer Science from the University of Stuttgart in 2007. In 2013, she received her PhD in Computer Science from the University of Tübingen. For her PhD research, she was awarded the research prize of the Federation Südwestmetall in 2014. From 2013 to 2015, she was a Margarete-von-Wrangell Fellow. Her main research interests are human vision, eye-tracking technology and applications, and driver assistance systems. She serves as a reviewer and PC member for several journals and major conferences. Her research and engagement was awarded with the NVIDIA Hardware grant and the Junior Fellowship of the Gesellschaft für Informatik. Enkelejda is founder of LeadersLikeHer, the world's first open career network that for women from industrial, research and public organizations.

University of Tübingen, Department of Computer Science, Perception Engineering Group, 72076 Tübingen, Germany

Acknowledgement

The author would like to thank all the students involved in the described work, her collaboration partners and the various funding agencies for the financial support.

Received: 2017-8-2
Accepted: 2017-8-2
Published Online: 2017-8-17
Published in Print: 2017-10-27

©2017 Walter de Gruyter Berlin/Boston

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