Abstract

This study analyzed camera directing by selecting 5 top channels with many subscribers among online eating content to investigate the preference factors that affect viewers' visual preferences according to camera directing in producing online eating content. Based on this, camera angle mainly used in eating content was divided into low angle, eye-level angle, high angle(10 degrees), and high angle(20 degrees), and eight types of slide photos were produced by dividing the shot size into full shot, medium shot, bust shot, and close-up shot. For the analysis, statistical analysis techniques such as factor analysis, multiple regression analysis, and correlation analysis were used after a survey of 223 samples with experience in watching online eating content. As a result, the most preferred camera angle for watching online eating content was an eye-level angle, and the most preferred shot size was a medium shot. Through factor analysis, the factor group was identified through emotional adjectives that affect visual preferences and their multiple regression analysis. In addition, various camera directing methods preferred by viewers were presented through correlation analysis between camera angle and shot size.

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