• eyetracking@ethz.ch

Category Archives: LAMETTA

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Open PhD position

We are looking for a PhD candidate (LAMETTA project).

More details and application on the ETH website.


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Gaze-Informed Location Based Services

Our article “Gaze-Informed Location Based Services” has been accepted for publication by the International Journal of Geographical Information Science (IJGIS):

Anagnostopoulos, V.-A., Havlena, M., Kiefer, P., Giannopoulos, I., Schindler, K., and Raubal, M. (2017).  Gaze-informed location based services.  International Journal of Geographical Information Science, 2017. (accepted), PDF

The article introduces the concept of location based services which take the user’s viewing direction into account. It reports on the implementation and evaluation of such gaze-informed location based service which has been developed as part of the LAMETTA project. This research has been performed in collaboration between the GeoGazeLab, Michal Havlena (Computer Vision Laboratory, ETH Zurich) and Konrad Schindler (Institute of Geodesy and Photogrammetry, ETH Zurich).

Abstract
Location-Based Services (LBS) provide more useful, intelligent assistance to users by adapting to their geographic context. For some services that context goes beyond a location and includes further spatial parameters, such as the user’s orientation or field of view. Here, we introduce Gaze-Informed LBS (GAIN-LBS), a novel type of LBS that takes into account the user’s viewing direction. Such a system could, for instance, provide audio information about the specific building a tourist is looking at from a vantage point. To determine the viewing direction relative to the environment, we record the gaze direction
relative to the user’s head with a mobile eye tracker. Image data from the tracker’s forward-looking camera serve as input to determine the orientation of the head w.r.t. the surrounding scene, using computer vision methods that allow one to estimate the relative transformation between the camera and a known view of the scene in real-time and without the need for artificial markers or additional sensors. We focus on how to map the Point of Regard of a user to a reference system, for which the objects of interest are known in advance. In an experimental validation on three real city panoramas, we confirm that the approach can cope with head movements of varying speed, including fast rotations up to 63 deg/s. We further demonstrate the feasibility of GAIN-LBS for tourist assistance with a proof-of-concept experiment in which a tourist explores a city panorama, where the approach achieved a recall that reaches over 99%. Finally, a GAIN-LBS can provide objective and qualitative ways of examining the gaze of a user based on what the user is currently looking at.


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Special Issue Appearing: Spatial Cognition&Computation 17 (1-2)

A double Special Issue on “Eye Tracking for Spatial Research” in Spatial Cognition&Computation, guest-edited by Peter, Ioannis, Martin, and Andrew Duchowski, has appeared [URL].

Nineteen manuscripts were submitted to an open Call for Submissions, out of which seven were finally accepted after a rigorous review process.

The Special Issue commences with an overview article, authored by the Guest Editors: “Eye tracking for spatial research: Cognition, computation, challenges” [URL, PDF].


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Paper accepted at PETMEI Workshop

Vasileios-Athanasios Anagnostopoulos and Peter Kiefer (2016). Towards gaze-based interaction with urban outdoor spaces.  In 6th International Workshop on Eye Tracking and Mobile Eye-Based Interaction (PETMEI 2016), UbiComp’16 Adjunct, New York, NY, USA, ACM. accepted


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ETIZ Meeting March 2016 – Impressions

The two talks on cognitive load given by Christoph Hölscher and Andrew Duchowski provided great insights that stimulated discussion at the Eye Tracking Interest Group Zurich (ETIZ), which was one of the most highly attended meetings.hoelscher-etiz


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ETIZ Meeting March 2016

We are going to host the next meeting of the Eye Tracking Interest Group Zurich (ETIZ). Everyone using, or planning to use eye tracking in their research is cordially welcome!

Date, time: Wednesday, 23rd March 2016, 17:00-19:00
Place: ETH Zurich Hönggerberg, HIL G 22
Topic: Measuring Cognitive Load with Eye Tracking

Please sign up in the Doodle to allow us plan the coffee break: http://ethz.doodle.com/poll/6ti5qbqx23wvf53g (before 16 March)

 

17:00 – 17:05
Welcome

17:05 – 17:20
Cognitive Load: Introduction
Christoph Hölscher, Chair of Cognitive Science, ETH Zürich

17:20 – 17:45
Cognitive Load and Eye Tracking: Overview on Methods
Andrew Duchowski, School of Computing, Clemson University, S.C., USA

17:45 – 18:15
Break
with possibility to try out a mobile gaze-based interaction system
Vasilis Anagnostopoulos, LAMETTA project, Geoinformation Engineering ETH Zürich

18:15 – 18:45
Discussion: Cognitive Load

18:45 – 18:55
Discussion: Format of ETIZ meeting


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Vasilis Anagnostopoulos joins the team

Vasilis Anagnostopoulos has started as a PhD student in the LAMETTA project (Location-Aware Mobile Eye Tracking for Tourist Assistance).

Welcome to our team, Vasilis!

[Current Team]


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Open PhD position

We are looking for a PhD candidate (LAMETTA project).

More details and application on the ETH website.


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ETH Zurich Research Grant

Great news right before the holiday season!

ETH Zurich will support our research on “Location-Aware Mobile Eye Tracking for Tourist Assistance” (LAMETTA) with an ETH Zurich Research Grant for a 3-year project, starting in 2015 (PI: Peter Kiefer).

The project will pioneer gaze-based interaction techniques for tourists in outdoor environments. The project envisions mobile assistance systems that trigger information services based on the user’s gaze on touristic areas of interest. For instance, a gaze-based recommender system could notify the observer of a city panorama about buildings that match her interest, given the objects she has looked at before. The main objective of this project consists in the investigation of novel gaze-based interaction methods for tourists exploring a city panorama.

Stay tuned for updates on LAMETTA!

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