Benchmark data for evaluating visualization and analysis techniques for eye tracking for video stimuli

Author:

Kurzhals Kuno1,Bopp Cyrill Fabian1,Bässler Jochen1,Ebinger Felix1,Weiskopf Daniel1

Affiliation:

1. University of Stuttgart, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification;28th International Conference on Intelligent User Interfaces;2023-03-27

2. IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping;28th International Conference on Intelligent User Interfaces;2023-03-27

3. Analysis of software developers’ coding behavior: A survey of visualization analysis techniques using eye trackers;Computers in Human Behavior Reports;2022-08

4. Panoptic Visual Analytics of Eye Tracking Data;Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2022

5. Neuro-Fuzzy Predictive Approach for Visual Analytics Evaluation of Medical Data;Communications in Computer and Information Science;2022

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