Journal ArticleDOI
Visualization of Eye Tracking Data: A Taxonomy and Survey
TLDR
This survey provides an introduction into eye tracking visualization with an overview of existing techniques and identified challenges that have to be tackled in the future so that visualizations will become even more widely applied in eye tracking research.Abstract:
This survey provides an introduction into eye tracking visualization with an overview of existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye tracking data is typically done quantitatively, applying statistical methods. However, in recent years, researchers have been increasingly using qualitative and exploratory analysis methods based on visualization techniques. For this state-of-the-art report, we investigated about 110 research papers presenting visualization techniques for eye tracking data. We classified these visualization techniques and identified two main categories: point-based methods and methods based on areas of interest. Additionally, we conducted an expert review asking leading eye tracking experts how they apply visualization techniques in their analysis of eye tracking data. Based on the experts' feedback, we identified challenges that have to be tackled in the future so that visualizations will become even more widely applied in eye tracking research.read more
Citations
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Journal ArticleDOI
A research agenda for augmented and virtual reality in architecture, engineering and construction
TL;DR: This is a foundational study that formalises and categorises the existing usage of AR and VR in the construction industry and provides a roadmap to guide future research efforts.
Journal ArticleDOI
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies
TL;DR: The results of this study indicate that ML and IoT are important aspects in evolving eye tracking applications owing to their ability to learn from existing data, make better decisions, be flexible, and eliminate the need to manually re-calibrate the tracker during the eye tracking process.
Journal ArticleDOI
A Survey of Visual Analytics for Public Health
Bernhard Preim,Kai Lawonn +1 more
TL;DR: In this article, the authors describe visual analytics solutions aiming to support public health professionals, and thus, preventive measures, and describe requirements, tasks and visual analytics techniques that are widely used in public health before going into detail with respect to applications.
Journal ArticleDOI
A practical guide on conducting eye tracking studies in software engineering
Zohreh Sharafi,Bonita Sharif,Yann-Gaël Guéhéneuc,Andrew Begel,Roman Bednarik,Martha E. Crosby +5 more
TL;DR: This paper discusses when and why researchers should use eye trackers as well as how they should use them, and compiles a list of typical use cases—real and anticipated—of eyeTrackers, aswell as metrics, visualizations, and statistical analyses to analyze and report eye-tracking data.
References
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Journal ArticleDOI
Eye movements in reading and information processing: 20 years of research.
TL;DR: The basic theme of the review is that eye movement data reflect moment-to-moment cognitive processes in the various tasks examined.
Proceedings ArticleDOI
The eyes have it: a task by data type taxonomy for information visualizations
TL;DR: A task by data type taxonomy with seven data types and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts) is offered.
Journal ArticleDOI
A Database and Evaluation Methodology for Optical Flow
TL;DR: This paper proposes a new set of benchmarks and evaluation methods for the next generation of optical flow algorithms and analyzes the results obtained to date to draw a large number of conclusions.
Book
Eye Tracking: A comprehensive guide to methods and measures
TL;DR: Eye tracking: a comprehensive guide to methods and measures, Oxford, UK: Oxford University Press.
Proceedings ArticleDOI
Identifying fixations and saccades in eye-tracking protocols
TL;DR: A taxonomy of fixation identification algorithms is proposed that classifies algorithms in terms of how they utilize spatial and temporal information in eye-tracking protocols in order to evaluate and compare these algorithms with respect to a number of qualitative characteristics.