Selecting Video Stimuli for Emotion Elicitation via Online Survey

Citation

Sayed Ismail, Sharifah Noor Masidayu and Ab Aziz, Nor Azlina and Ibrahim, Siti Zainab and Khan, Chy. Mohammed Tawsif and Rahman, Md. Armanur (2021) Selecting Video Stimuli for Emotion Elicitation via Online Survey. Human-centric Computing and Information Sciences, 11. pp. 1-18. ISSN 2192-1962

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Abstract

Video stimulus is commonly used to induce different emotional states. Numerous sets of stimulus materials were produced in recent years; however, sets that include Asian clips are still inadequate. This study identified and validated 24 videos expected to elicit specific emotional reactions in a two-dimensional model of valence and arousal. The videos consist of excerpts from movies, TV shows, and advertisements from various regions, including Asia. The study was conducted during the COVID-19 pandemic; therefore, instead of the traditional approach of physical sessions in the laboratory, online surveys were conducted to collect responses from 42 participants. The findings show that 79% of the videos successfully evoked the targeted emotions. The participants’ demographic factors, such as age, gender, race, nationality, and place of residence, were taken into account to explore and understand the different perspectives among the participants towards the videos. The outcomes disclosed that all selected videos are gender-neutral. The emotions elicited by several videos revealed significant differences among people of different races and nationalities. This finding indicates that the background and culture affected one’s perspective and, subsequently, the emotion.

Item Type: Article
Uncontrolled Keywords: Affective Computing, Cloud, COVID-19, Emotion Elicitation, Demography, Asian Clips
Subjects: B Philosophy. Psychology. Religion > BF Psychology (General) > BF1-990 Psychology
Divisions: Faculty of Engineering and Technology (FET)
Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Jan 2022 08:26
Last Modified: 19 Jan 2022 08:26
URII: http://shdl.mmu.edu.my/id/eprint/9870

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