Analyzing the Importance of Spatio-Temporal Patterns in Eye-Tracking Sensor Data for Predicting Perceived Usability and User Experience

Fabian Engl, Jürgen Horst Mottok, Michael Burmester 0001. Analyzing the Importance of Spatio-Temporal Patterns in Eye-Tracking Sensor Data for Predicting Perceived Usability and User Experience. In IEEE Sensor Data Fusion: Trends, Solutions, Applications, SDF 2025, Bonn, Germany, November 24-26, 2025. pages 1-8, IEEE, 2025. [doi]

@inproceedings{EnglMB25,
  title = {Analyzing the Importance of Spatio-Temporal Patterns in Eye-Tracking Sensor Data for Predicting Perceived Usability and User Experience},
  author = {Fabian Engl and Jürgen Horst Mottok and Michael Burmester 0001},
  year = {2025},
  doi = {10.1109/SDF67080.2025.11331133},
  url = {https://doi.org/10.1109/SDF67080.2025.11331133},
  researchr = {https://researchr.org/publication/EnglMB25},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {IEEE Sensor Data Fusion: Trends, Solutions, Applications, SDF 2025, Bonn, Germany, November 24-26, 2025},
  publisher = {IEEE},
  isbn = {979-8-3315-7651-6},
}