EyeInfo Research Group

Paper published in the Extended Abstracts on Human Factors in Computing Systems (CHI EA 2009)
Location: Boston, MA, USA
Date: Apr. 2009
Publisher: ACM
ISBN/ISSN: 978-1-60558-247-4
Pages: 4387-4392
DOI Bookmark: 10.1145/1520340.1520671

Martin Tall, IT University of Copenhagen
Alexandre Alapetite, Technical University of Denmark
Javier San Agustin, IT University of Copenhagen
Henrik Skovsgaard, IT University of Copenhagen
John Paulin Hansen, IT University Copenhagen
Dan Witzner Hansen
, IT University of Copenhagen
Emilie Møllenbach, Loughborough University

We investigate if the gaze (point of regard) can control a remote vehicle driving on a racing track. Five different input devices (on-screen buttons, mouse-pointing low-cost webcam eye tracker and two commercial eye tracking systems) provide heading and speed control on the scene view transmitted from the moving robot. Gaze control was found to be similar to mouse control. This suggests that robots and wheelchairs may be controlled "hands-free" through gaze. Low precision gaze tracking and image transmission delays had noticeable effect on performance.



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