Eye tracking for spatial research: Cognition, computation, challenges
Spatial information acquisition happens in large part through the visual sense. Studying
visual attention and its connection to cognitive processes has been the interest of many …
visual attention and its connection to cognitive processes has been the interest of many …
The power of linked eye movement data visualizations
In this paper we showcase several eye movement data visualizations and how they can be
interactively linked to design a flexible visualization tool for eye movement data. The aim of …
interactively linked to design a flexible visualization tool for eye movement data. The aim of …
A survey on transit map layout–from design, machine, and human perspectives
HY Wu, B Niedermann, S Takahashi… - Computer Graphics …, 2020 - Wiley Online Library
Transit maps are designed to present information for using public transportation systems,
such as urban railways. Creating a transit map is a time‐consuming process, which requires …
such as urban railways. Creating a transit map is a time‐consuming process, which requires …
Effects of visual map complexity on the attentional processing of landmarks
In the era of smartphones, route-planning and navigation is supported by freely and globally
available web mapping services, such as OpenStreetMap or Google Maps. These services …
available web mapping services, such as OpenStreetMap or Google Maps. These services …
Clustered eye movement similarity matrices
Eye movements recorded for many study participants are difficult to interpret, in particular
when the task is to identify similar scanning strategies over space, time, and participants. In …
when the task is to identify similar scanning strategies over space, time, and participants. In …
Teaching Eye Tracking: Challenges and Perspectives
M Burch, K Kurzhals - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Eye tracking studies are more complicated to design, conduct, and to evaluate than
traditional studies solely based on performance measures like error rates and response …
traditional studies solely based on performance measures like error rates and response …
Comparing dimensionality reductions for eye movement data
M Burch, T Kuipers, C Qian, F Zhou - Proceedings of the 13th …, 2020 - dl.acm.org
Eye movement data is high-dimensional, and therefore hard to visualize. In this paper we
focus on a dataset of scanpaths: Eye movements performed by subjects and tracked during …
focus on a dataset of scanpaths: Eye movements performed by subjects and tracked during …
Sankeye: A visualization technique for AOI transitions
M Burch, N Timmermans - ACM Symposium on Eye Tracking Research …, 2020 - dl.acm.org
Visually exploring AOI transitions aggregated from a group of eye tracked people is a
challenging task. Many visualizations typically produce visual clutter or aggregate the …
challenging task. Many visualizations typically produce visual clutter or aggregate the …
Teaching eye tracking visual analytics in computer and data science bachelor courses
M Burch - ACM Symposium on Eye Tracking Research and …, 2020 - dl.acm.org
Making students aware of eye tracking technologies can have a great benefit on the entire
application field since they may build the next generation of eye tracking researchers. On the …
application field since they may build the next generation of eye tracking researchers. On the …
Exploring eye movement data with image-based clustering
In this article, we describe a new feature for exploring eye movement data based on image-
based clustering. To reach this goal, visual attention is taken into account to compute a list of …
based clustering. To reach this goal, visual attention is taken into account to compute a list of …