Realistic heatmap visualization for interactive analysis of 3D gaze data

Maurus, Michael; Hammer, Jan Hendrik; Beyerer, Jürgen

doi:10.1145/2578153.2578204

Cited by 23 publications

(10 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other classifications include: static (image based) and dynamic (video based), active and passive stimulus based visualizations. Conventionally gaze data is aggregated using heat maps and fixation maps, on which several improvements have been proposed, such as in [ 26 ] (modifying transparency of the heat map depending on gaze data) and [ 27 ] (real-time heatmap generation and visualization of 3D gaze data). In [ 28 ], gaze visualization with parallelized rendering on a GPU (graphics processing unit) platform is proposed.…”

Section: Related Work: Accuracy Estimates and Visualizations In Gmentioning

confidence: 99%

Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations

Kar

Corcoran

2018

Sensors

View full text Add to dashboard Cite

An eye tracker’s accuracy and system behavior play critical roles in determining the reliability and usability of eye gaze data obtained from them. However, in contemporary eye gaze research, there exists a lot of ambiguity in the definitions of gaze estimation accuracy parameters and lack of well-defined methods for evaluating the performance of eye tracking systems. In this paper, a set of fully defined evaluation metrics are therefore developed and presented for complete performance characterization of generic commercial eye trackers, when they operate under varying conditions on desktop or mobile platforms. In addition, some useful visualization methods are implemented, which will help in studying the performance and data quality of eye trackers irrespective of their design principles and application areas. Also the concept of a graphical user interface software named GazeVisual v1.1 is proposed that would integrate all these methods and enable general users to effortlessly access the described metrics, generate visualizations and extract valuable information from their own gaze datasets. We intend to present these tools as open resources in future to the eye gaze research community for use and further advancement, as a contribution towards standardization of gaze research outputs and analysis.

show abstract

Section: Related Work: Accuracy Estimates and Visualizations In Gmentioning

confidence: 99%

Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations

Kar

Corcoran

2018

Sensors

View full text Add to dashboard Cite

show abstract

“…Introduced by Mackworth andMackworth in 1958 (Mackworth &Mackworth, 1958), this simple and intuitive technique provides qualitative information about the gaze behavior of the viewers. In 3D, some studies (Maurus, Hammer, & Beyerer, 2014;Stellmach et al, 2010) used attention maps on 3D objects (object-based or surface-based). The graphical results provided by our method look like those provided by a surface-based method, but the difference between the classical studies and our method lies in the fact that we build the heat map from data previously quantified via body area annotations, instead of directly calculating the attention map with eye tracking data.…”

Section: Spatial Information One Of the Main Techniques Used To Visualize Gaze Patterns Is Known As Heat Mapsmentioning

confidence: 99%

A Skeleton-based Approach to Analyze and Visualize Oculomotor Behavior when Viewing Animated Characters

Naour

Bresciani

2017

JEMR

View full text Add to dashboard Cite

Knowing what people look at and understanding how they analyze the dynamic gestures of their peers is an exciting challenge. In this context, we propose a new approach to quantify and visualize the oculomotor behavior of viewers watching the movements of animated characters in dynamic sequences. Using this approach, we were able to illustrate on a 'heat mesh' the gaze distribution of one or several viewers, i.e., the time spent on each part of the body, and to visualize viewers' timelines which are linked to the heat mesh. Our approach notably allows providing an 'intuitive' overview combining the spatial and temporal characteristics of the gaze pattern, and constitutes an efficient tool to quickly compare the oculomotor behaviors of different viewers. The functionalities of our system are illustrated through two use case experiments on 2D and 3D animated media, respectively.

show abstract

“…Recent approaches for generating heat maps for 3D scenes (e.g. [Maurus et al 2014]), however, require special purpose viewers and dedicated graphics hardware. Besides the problem of distributing this software, such tools also increase the learning curve for the audience.…”

Section: Technical Challengesmentioning

confidence: 99%

Model-based real-time visualization of realistic three-dimensional heat maps for mobile eye tracking and eye tracking in virtual reality

Pfeiffer

Memili

2016

Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &Amp; Applications

View full text Add to dashboard Cite

Heat maps, or more generally, attention maps or saliency maps are an often used technique to visualize eye-tracking data. With heat maps qualitative information about visual processing can be easily visualized and communicated between experts and laymen. They are thus a versatile tool for many disciplines, in particular for usability engineering, and are often used to get a first overview about recorded eye-tracking data.Today, heat maps are typically generated for 2D stimuli that have been presented on a computer display. In such cases the mapping of overt visual attention on the stimulus is rather straight forward and the process is well understood. However, when turning towards mobile eye tracking and eye tracking in 3D virtual environments, the case is much more complicated.In the first part of the paper, we discuss several challenges that have to be considered in 3D environments, such as changing perspectives, multiple viewers, object occlusions, depth of fixations, or dynamically moving objects. In the second part, we present an approach for the generation of 3D heat maps addressing the above mentioned issues while working in real-time. Our visualizations provide high-quality output for multi-perspective eye-tracking recordings of visual attention in 3D environments.

show abstract

Realistic heatmap visualization for interactive analysis of 3D gaze data

Cited by 23 publications

References 11 publications

Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations

Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations

A Skeleton-based Approach to Analyze and Visualize Oculomotor Behavior when Viewing Animated Characters

Model-based real-time visualization of realistic three-dimensional heat maps for mobile eye tracking and eye tracking in virtual reality

Contact Info

Product

Resources

About