Final published version
Licence: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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TY - CONF
T1 - Behavioral Analysis of Smooth Pursuit Eye Movements for Interaction
AU - Ramirez Gomez, Argenis
AU - Gellersen, Hans-Werner Georg
PY - 2017/8/21
Y1 - 2017/8/21
N2 - Gaze has been found challenging to use in dynamic interfaces involving motion. Moving targets are hard to select with state of the art gaze input methods and gaze estimation requires calibration in order to be accurate when offering a successful experience. Smooth Pursuit eye movements broaden opportunities to extend novel interfaces and promise new ways of interaction. However, there is not enough information on the natural behavior of the eyes when performing them. In this work, we tried to understand the relationship between Smooth Pursuits and motion, focusing on movement speed and direction. Results show anticipatory movements when performing pursuits, indicating that the natural behavior of the eyes to predict the displayed movement. Results could help in the design of interfaces and algorithms that use Smooth Pursuit for interaction.
AB - Gaze has been found challenging to use in dynamic interfaces involving motion. Moving targets are hard to select with state of the art gaze input methods and gaze estimation requires calibration in order to be accurate when offering a successful experience. Smooth Pursuit eye movements broaden opportunities to extend novel interfaces and promise new ways of interaction. However, there is not enough information on the natural behavior of the eyes when performing them. In this work, we tried to understand the relationship between Smooth Pursuits and motion, focusing on movement speed and direction. Results show anticipatory movements when performing pursuits, indicating that the natural behavior of the eyes to predict the displayed movement. Results could help in the design of interfaces and algorithms that use Smooth Pursuit for interaction.
KW - Eye movement
KW - Gaze
KW - Eye tracking
KW - Smooth Pursuit
KW - Gaze interaction
M3 - Conference paper
T2 - COGAIN Symposium
Y2 - 21 August 2017 through 21 August 2017
ER -