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An interesting case, at least for neuromarketers, is to monitor the customer\u2019s mental state in response to watching a commercial. In this paper, as a novelty, we propose a method to predict from electroencephalography (EEG) recordings whether individuals decide to skip watching a video trailer. Based on multiscale sample entropy and signal power, indices were computed that gauge the viewer\u2019s engagement and emotional affect. We then trained a support vector machine (SVM), a k-nearest neighbor (kNN), and a random forest (RF) classifier to predict whether the viewer declares interest in watching the video and whether he\/she decides to skip it prematurely. Our model achieved an average single-subject classification accuracy of 75.803% for skipping and 73.3% for viewer interest for the SVM, 82.223% for skipping and 78.333% for viewer interest for the kNN, and 80.003% for skipping and 75.555% for interest for the RF. We conclude that EEG can provide indications of viewer interest and skipping behavior and provide directions for future research.<\/jats:p>","DOI":"10.3390\/e21101014","type":"journal-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T03:40:29Z","timestamp":1571629229000},"page":"1014","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Predicting Premature Video Skipping and Viewer Interest from EEG Recordings"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1939-982X","authenticated-orcid":false,"given":"Arno","family":"Libert","sequence":"first","affiliation":[{"name":"Department of Neurosciences, Laboratory for Neuro- &amp; Psychophysiology, KU Leuven-University of Leuven, 3000 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1060-7044","authenticated-orcid":false,"given":"Marc M.","family":"Van Hulle","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, Laboratory for Neuro- &amp; Psychophysiology, KU Leuven-University of Leuven, 3000 Leuven, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.eij.2015.06.002","article-title":"Brain computer interfacing: Applications and challenges","volume":"16","author":"Abdulkader","year":"2015","journal-title":"Egypt. 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