Tobii EyeTracking's Library tagged → View Popular, Search in Google
Abstract
This study is concerned with the negative effects of wearing corrective lenses while using eye trackers, and the correction of those negative effects. The eye tracker technology studied is the video based real-time Pupil Center and Corneal Reflection method. With a user study, the wearing of eyeglasses is shown to cause 20 % greater errors in the accuracy of an eye tracker than when not wearing glasses. The error is shown to depend on where on the eye tracker viewing area the user is looking.
A model for ray refraction when wearing glasses was developed. Measurements on distortions on the image of the eye caused by eyeglass lenses were carried out. The distortions were analyzed with eye tracking software to determine their impact on the image-to world coordinates mapping.
A typical dependence of 1 mm relative distance change on cornea to 9 degrees of visual field was found.
The developed mathematical/physiological model for eyeglasses focuses on artifacts not possible to accommodate for with existing calibration methods, primarily varying combinations of viewing angles and head rotations. The main unknown in the presented model is the effective strength of the glasses. Automatic identification is discussed. The model presented here is general in nature and needs to be developed further in order to be a part of a specific application.
in list: Eye Tracking Technology
ABSTRACT
Situated public displays and interactive surfaces are becoming
ubiquitous in our daily lives. Issues arise with these
devices when attempting to interact over a distance or with
content that is physically out of reach. In this paper we outline
three techniques that combine gaze with manual handcontrolled
input to move objects. We demonstrate and discuss
how these techniques could be applied to two scenarios
involving, (1) a multi-touch surface and (2) a public display
and a mobile device.
in list: Eye Control
Eye-based human-computer interaction (HCI) goes back at least to the early 1990s. Controlling a computer using the eyes traditionally meant extracting information from the gaze—that is, what a person was looking at. In an early work, Robert Jacob investigated gaze as an input modality for desktop computing.1 He discussed some of the human factors and technical aspects of performing common tasks such as pointing, moving screen objects, and menu selection. Since then, eye-based HCI has matured considerably. Today, eye tracking is used successfully as a measurement technique not only in the laboratory but also in commercial applications, such as marketing research and automotive usability studies.
in list: Eye Tracking Technology, HCI & Usability
ABSTRACT
Projector phones, handheld game consoles and many other
mobile devices increasingly include more than one display,
and therefore present a new breed of mobile Multi-Display
Environments (MDEs) to users. Existing studies illustrate
the effects of visual separation between displays in MDEs
and suggest interaction techniques that mitigate these
effects. Currently, mobile devices with heterogeneous
displays such as projector phones are often designed
without reference to visual separation issues; therefore it is
critical to establish whether concerns and opportunities
raised in the existing MDE literature apply to the emerging
category of Mobile MDEs (MMDEs). This paper
investigates the effects of visual separation in the context of
MMDEs and contrasts these with fixed MDE results, and
explores design factors for Mobile MDEs. Our study uses a
novel eye-tracking methodology for measuring switches in
visual context between displays and identifies that MMDEs
offer increased design flexibility over traditional MDEs in
terms of visual separation. We discuss these results and
identify several design implications.
in list: HCI & Usability
ABSTRACT
As prototypes of data glasses having both data augmentation and gaze tracking capabilities are becoming available, it is now possible to develop proactive gaze-controlled user interfaces to display information about objects, people, and other entities in real-world setups. In order to decide which objects the augmented information should be about, and how saliently to augment, the system needs an estimate of the importance or relevance of the objects of the scene for the user at a given time. The estimates will be used to minimize distraction of the user, and for providing efficient spatial management of the augmented items. This work is a feasibility study on inferring the relevance of objects in dynamic scenes from gaze. We collected gaze data from subjects watching a video for a pre-defined task. The results show that a simple ordinal logistic regression model gives relevance rankings of scene objects with a promising accuracy.
in list: Eye Control
Selected Tags
Related Tags
Top Contributors
Groups interested in Glasses
Diigo is about better ways to research, share and collaborate on information. Learn more »
Join Diigo
