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Oct
21
2010

ABSTRACT
In order to improve human-computer interaction, eyetracking, physiological measures and task recognition are used to assess the content and quality of interaction in an ecommerce application with User Generated Content. Results are analyzed in conjunction with users’ verbalization and their subjective assessment of attitudes
toward the product and their wish to contribute.

2010 Canada HCI Usability Tobii eye tracking X120 content quality interaction e-commerce application user generated content

in list: HCI & Usability

Dec
9
2009

ABSTRACT
This paper describes the practical side of eye tracker use in the field of human computer interaction. The paper relates to usability evaluations in practice covering those topics of primary importance to practitioners including the business case for eye tracking and the technique's benefits and limitations. The authors describe techniques, based on practical experience, to be deployed to ensure success with eye tracking and provide some useful links and references for those contemplating adoption of the technique. Ideas on future practical areas of deployment are discuss.

Eye tracking application evaluation UK 2007 Tobii

in list: General Eye Tracking

ABSTRACT
We present a technique for switching between active applications by using a combination of keyboard (or any other trigger) and eye gaze. In particular, our approach combines the use of a two-dimensional layout visualization for showing the user all open applications and the use of eye gaze tracking for selecting the desired window. Our
studies show that this combination of gaze and the visual representation of active tasks allows users to switch between applications quickly and naturally. Users strongly preferred this technique of switching between applications compared to other alternatives.

HCI Task Switching Application Eye Tracking Gaze-enhanced User Interface Design USA 2007 Tobii

in list: HCI & Usability

Dec
2
2009

The GUIDe (Gaze-enhanced User Interface Design) project in the HCI Group at Stanford University explores how gaze information can be effectively used as an augmented input in addition to keyboard and mouse. We present three practical applications of gaze as an augmented input for pointing and selection, application switching, and scrolling. Our gaze-based interaction techniques do not overload the visual channel and present a natural, universally-accessible and general purpose use of gaze information to facilitate interaction with everyday computing devices.

Abstract
The eyes are a rich source of information for gathering context in our everyday lives. A user’s gaze is postulated to be the best proxy for attention or intention. Using gaze information as a form of input can enable a computer system to gain more contextual information about the user’s task, which in turn can be leveraged to design interfaces which are more intuitive and intelligent. Eye gaze tracking as a form of input was primarily developed for users who are unable to make normal use of a keyboard and pointing device. However, with the increasing accuracy and decreasing cost of eye gaze tracking systems it will soon be practical for able-bodied users to use gaze as a form of input in addition to keyboard and mouse. This dissertation explores how gaze information can be effectively used as an augmented input in addition to traditional input devices.
The focus of this research is to augment rather than replace existing interaction techniques. Adding gaze information provides viable alternatives to traditional interaction techniques, which users may prefer to use depending upon their abilities, tasks and preferences. This dissertation presents a series of novel prototypes that explore the use of gaze as an augmented input to perform everyday computing tasks. In particular, it explores the use of gaze-based input for pointing and selection, scrolling and document navigation, application switching, password entry, zooming and other applications. It p

HCI application switching automatic scrolling eye pointing tracking and selection USA 2007 Tobii 1750 SDK

in list: HCI & Usability , Eye Control

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