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In this paper, we present a comprehensive, multi-faceted eye-tracking dataset collected from 26 participants using 28 emotional video stimuli rendered in a custom virtual environment. Our dataset is the first to incorporate high-frame-rate periocular videos, capturing subtle motions, such as micro-expressions and eyebrow shifts, which are critical for emotion analysis. Additionally, it includes high-frequency eye-tracking data, offering gaze direction and pupil dynamics at four times the frequency of existing datasets. Our dataset is also unique in providing emotion annotations according to Ekman's emotion model and, as such, offering experiments impossible using existing datasets. Our benchmark evaluations show that fusing the multi-faceted eye-tracking signals in our dataset significantly improves emotion recognition accuracy. As such, our work has the potential to significantly accelerate and enable entirely new research on emotion-aware VR applications.<\/jats:p>","DOI":"10.1145\/3749545","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T17:15:45Z","timestamp":1756919745000},"page":"1-41","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Through the Eyes of Emotion: A Multi-faceted Eye Tracking Dataset for Emotion Recognition in Virtual Reality"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4364-4449","authenticated-orcid":false,"given":"Tongyun","family":"Yang","sequence":"first","affiliation":[{"name":"Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3738-5129","authenticated-orcid":false,"given":"Bishwas","family":"Regmi","sequence":"additional","affiliation":[{"name":"Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5479-7866","authenticated-orcid":false,"given":"Lingyu","family":"Du","sequence":"additional","affiliation":[{"name":"Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6317-7303","authenticated-orcid":false,"given":"Andreas","family":"Bulling","sequence":"additional","affiliation":[{"name":"University of Stuttgart, Stuttgart, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8368-3542","authenticated-orcid":false,"given":"Xucong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2190-9937","authenticated-orcid":false,"given":"Guohao","family":"Lan","sequence":"additional","affiliation":[{"name":"Delft University of Technology, Delft, The Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"141","article-title":"The EMMA Project: Emotions as a determinant of presence","volume":"1","author":"Alca\u00f1iz Mariano","year":"2003","unstructured":"Mariano Alca\u00f1iz, Rosa Ba\u00f1os, Cristina Botella, and Beatriz Rey. 2003. 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