@inproceedings{35c3938327184defb5a756c3d2887cc2,
title = "Watch out for those bananas! Gaze Based Mario Kart Performance Classification",
abstract = "This paper is about a small eye tracking study for scan path classification. Seven participants played Mario Kart while wearing a head mounted eye tracker. In total, we had 64 recordings, but one had to be removed (Only 79 gaze samples were recorded). We compared different scan path classification features to estimate the performance of the participants based on the ranking they achieved. The best performing feature was ENCODJI which incooperates saccades and the heatmap in one feature. HOV, which uses saccade angles, performed well for all tasks but was outperformed by the heatmap (HEAT) for the last two groups.",
keywords = "Classification, Eye Tracking, Gaze, Mario Kart, Scanpath, Score",
author = "Wolfgang Fuhl and Bj{\"o}rn Severitt and Nora Castner and Babette B{\"u}hler and Johannes Meyer and Daniel Weber and Regine Lendway and Ruikun Hou and Enkelejda Kasneci",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 15th Annual ACM Symposium on Eye Tracking Research and Applications, ETRA 2023 ; Conference date: 30-05-2023 Through 02-06-2023",
year = "2023",
month = may,
day = "30",
doi = "10.1145/3588015.3590136",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - ETRA 2023",
}