Attracting Visual Attention in a Digital Age: Measuring the Determinants of Interestingness of Videos Using Biosensors

Quincy Conley
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Quincy Conley: A.T. Still University, USA

International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 2024, vol. 14, issue 1, 1-24

Abstract: The purpose of this study was to determine whether previously established visual attention patterns remained intact during video scenes designed to elicit specific emotions using a novel suite of biosensors. To examine the relationship between visual attention and emotion, data from eye tracking, facial expression recognition (FER), and galvanic skin response (GSR) combined with survey data were used to identify the bottom-up and top-down features of saliency in videos that contributed to their “interestingness.” Using a mixed-methods design and convenience sampling, participants (N = 42) watched 60 video clips designed to evoke different emotional responses (positive, neutral, or negative). The results indicated that using a suite of biosensors to examine the impacts of bottom-up and top-down features of visual attention was effective.

Date: 2024
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