Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions

This article describes the process of selecting a collection of professional and amateur videos that elicit five basic emotions (i.e., happiness, fear, disgust, anger, and sadness) and validating these videos in three groups of participants (i.e., Chinese from China, Chinese from Malaysia, and Bumip...

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Main Authors: Hong Yi Chen, Kai Ling Chin, Chrystalle B.Y. Tan
Format: Article
Language:English
English
Published: Elsevier Ltd 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/26771/1/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf
https://eprints.ums.edu.my/id/eprint/26771/2/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf
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author Hong Yi Chen
Kai Ling Chin
Chrystalle B.Y. Tan
author_facet Hong Yi Chen
Kai Ling Chin
Chrystalle B.Y. Tan
author_sort Hong Yi Chen
collection UMS
description This article describes the process of selecting a collection of professional and amateur videos that elicit five basic emotions (i.e., happiness, fear, disgust, anger, and sadness) and validating these videos in three groups of participants (i.e., Chinese from China, Chinese from Malaysia, and Bumiputera from Malaysia). In the video selection phase, professional videos, which were Western movie trailers, were selected from IMDb (Internet Movie Database) and amateur videos were selected from YouTube. The researchers selected videos that display five basic emotions, identified the time frames with the strongest display of emotion, and rated the emotional intensity of each video on a 5-point Likert scale. After the initial stage of selection, two other researchers performed an emotion recognition task by watching the videos without audio to ensure that the emotions can be elicited without understanding the language. This data was used to refine the final selection of 20 professional videos and 20 amateur videos. In the video validation phase, 30 participants were asked to identify and rate the intensity of emotion felt. This article includes a description of the video selection method, a detailed list of the videos selected, and participants' responses and ratings of emotional intensity for the 40 videos.
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spelling ums.eprints-267712021-04-16T06:23:50Z https://eprints.ums.edu.my/id/eprint/26771/ Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions Hong Yi Chen Kai Ling Chin Chrystalle B.Y. Tan BF Psychology This article describes the process of selecting a collection of professional and amateur videos that elicit five basic emotions (i.e., happiness, fear, disgust, anger, and sadness) and validating these videos in three groups of participants (i.e., Chinese from China, Chinese from Malaysia, and Bumiputera from Malaysia). In the video selection phase, professional videos, which were Western movie trailers, were selected from IMDb (Internet Movie Database) and amateur videos were selected from YouTube. The researchers selected videos that display five basic emotions, identified the time frames with the strongest display of emotion, and rated the emotional intensity of each video on a 5-point Likert scale. After the initial stage of selection, two other researchers performed an emotion recognition task by watching the videos without audio to ensure that the emotions can be elicited without understanding the language. This data was used to refine the final selection of 20 professional videos and 20 amateur videos. In the video validation phase, 30 participants were asked to identify and rate the intensity of emotion felt. This article includes a description of the video selection method, a detailed list of the videos selected, and participants' responses and ratings of emotional intensity for the 40 videos. Elsevier Ltd 2021-02 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/26771/1/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf text en https://eprints.ums.edu.my/id/eprint/26771/2/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf Hong Yi Chen and Kai Ling Chin and Chrystalle B.Y. Tan (2021) Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions. Data in Brief, 34. https://doi.org/10.1016/j.dib.2020.106662
spellingShingle BF Psychology
Hong Yi Chen
Kai Ling Chin
Chrystalle B.Y. Tan
Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title_full Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title_fullStr Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title_full_unstemmed Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title_short Selection and validation of emotional videos: Dataset of professional and amateur videos that elicit basic emotions
title_sort selection and validation of emotional videos dataset of professional and amateur videos that elicit basic emotions
topic BF Psychology
url https://eprints.ums.edu.my/id/eprint/26771/1/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf
https://eprints.ums.edu.my/id/eprint/26771/2/Selection%20and%20validation%20of%20emotional%20videos%2C%20Dataset%20of%20professional%20and%20amateur%20videos%20that%20elicit%20basic%20emotions.pdf
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AT chrystallebytan selectionandvalidationofemotionalvideosdatasetofprofessionalandamateurvideosthatelicitbasicemotions