Add to ORKGOur research will explore the impact of pie chart data representation on users by focusing on assessing users’ cognitive effort and visual attention while employing novel eye-tracking technology. Focusing on two large questions centered around a difference in users’ visual attention and cognitive effort between a pie chart, data representation alternative, and visual properties, participants will be given a series of business tasks and images to solve the tasks. As subjects attempt to solve tasks with provided images, the eye-tracking device will monitor their gaze and capture eye fixation and scan-path derived metrics as indicators of visual attention and effort
Eye-tracking is a technology that gives researchers an unprecedented level of access to the individu...
The aim of the article is to present the usability of eye tracking as a method of research of custom...
Prescriptions for effective display of quantitative information involving more than two variables ar...
This research explores the impact of pie chart data representation on users by focusing on assessing...
To learn more about how knowledge workers solve domain-specific problems, we develop a computer-bas...
This paper reports on a pilot study that used eye tracking techniques to make detailed observations ...
Eye-tracking has been widely used for research purposes in fields such as linguistics and marketing....
Eye tracking research is essential in certain domains, such as visual perception, human-computer int...
Eye-tracking has been widely used for research purposes in fields such as linguistics and marketing....
For information visualization researchers, eye tracking has been a useful tool to investigate resear...
Eye-tracking is becoming a popular tool for understanding how different forms of asking questions in...
Three experiments tested young adults' abilities to use size and location cues to find and identify ...
Past studies have used eye-tracking glasses to analyze people’s perception of visual stimuli, usuall...
Advances in Affective Computing are improving the way practitioners collect and analyze data. Eye tr...
Testing usability with eye-tracking enables to understand a new dimension of user interaction. We ca...
Eye-tracking is a technology that gives researchers an unprecedented level of access to the individu...
The aim of the article is to present the usability of eye tracking as a method of research of custom...
Prescriptions for effective display of quantitative information involving more than two variables ar...
This research explores the impact of pie chart data representation on users by focusing on assessing...
To learn more about how knowledge workers solve domain-specific problems, we develop a computer-bas...
This paper reports on a pilot study that used eye tracking techniques to make detailed observations ...
Eye-tracking has been widely used for research purposes in fields such as linguistics and marketing....
Eye tracking research is essential in certain domains, such as visual perception, human-computer int...
Eye-tracking has been widely used for research purposes in fields such as linguistics and marketing....
For information visualization researchers, eye tracking has been a useful tool to investigate resear...
Eye-tracking is becoming a popular tool for understanding how different forms of asking questions in...
Three experiments tested young adults' abilities to use size and location cues to find and identify ...
Past studies have used eye-tracking glasses to analyze people’s perception of visual stimuli, usuall...
Advances in Affective Computing are improving the way practitioners collect and analyze data. Eye tr...
Testing usability with eye-tracking enables to understand a new dimension of user interaction. We ca...
Eye-tracking is a technology that gives researchers an unprecedented level of access to the individu...
The aim of the article is to present the usability of eye tracking as a method of research of custom...
Prescriptions for effective display of quantitative information involving more than two variables ar...