과학 영상 콘텐츠 평가 지표에 관한 연구 - 유튜브 채널에 공개된 과학 영상물을 중심으로 - (A Study on the Evaluation Factors for Science Video Clip Contents - Focused on Science Video Clip Contents of YouTube -)

서지정보

· 발행기관 : 한국문화공간건축학회
· 수록지 정보 : 한국문화공간건축학회논문집 / 82호 / 22 ~ 30페이지
· 저자명 : 이승윤, 김석형, 최규삼

초록

Currently, a large number of science video contents are being produced and provided. However, it is difficult to judge successful video contents in the planning, shooting, and editing stages because there are no evaluation method. The purpose of this study is to develop evaluation factors that can be used by anyone and can be used in all stages of planning, shooting, and editing. The appropriate factors were selected through the following process. First, appropriate evaluation factors were found for the development of evaluation factors targeting science videos. Second, evaluation factors were verified through the evaluation of scientific video. Third, appropriate evaluation factors were determined after comparing and analyzing the evaluation results and the number of video views. After a survey, 51 excellent factors were selected with a mean value of 7.5 or higher and a significant difference from the bottom 25% of 196 factors with a 95% confidence level. 20 science videos were evaluated with 51 excellent factors, and each factor was statistically analyzed. 16 selected evaluation factors that could statistically distinguish between good and poor with 95% confidence level were selected. The evaluation results of 16 factors and the number of video views were compared and analyzed, but some science videos are a large difference in the rankings of the two results. Therefore, these videos showing different results were analyzed, and additional factors were discovered by identifying the characteristics of the video. 20 science videos were evaluated again with 20 renewed factors, and each factor was analyzed. 7 evaluation factors that could statistically distinguish between good and poor with 95% confidence level were selected. The final selected factors were: (1) arousing and resolving curiosity and wonder, (2) voice actors and voice delivery, (3) fun and interest, (4) interesting title, (5) empathy, communication and understanding, (6) immersion and concentration, and (7) attention. The selected 7 evaluation factors can be used as a predictive index for excellent quality and high number view’s videos, and the developed evaluation index is necessary to reduce time, manpower, and cost for video production. However, there is a disadvantage that under exceptional conditions, the number of views may be higher or lower than expected. For example, videos that are highly relevant, such as timely topics, issues, unknowns, challenges, and space, will be higher views, and have relatively lower for the fun and interest factor will be lower views.

영어초록

Currently, a large number of science video contents are being produced and provided. However, it is difficult to judge successful video contents in the planning, shooting, and editing stages because there are no evaluation method. The purpose of this study is to develop evaluation factors that can be used by anyone and can be used in all stages of planning, shooting, and editing. The appropriate factors were selected through the following process. First, appropriate evaluation factors were found for the development of evaluation factors targeting science videos. Second, evaluation factors were verified through the evaluation of scientific video. Third, appropriate evaluation factors were determined after comparing and analyzing the evaluation results and the number of video views. After a survey, 51 excellent factors were selected with a mean value of 7.5 or higher and a significant difference from the bottom 25% of 196 factors with a 95% confidence level. 20 science videos were evaluated with 51 excellent factors, and each factor was statistically analyzed. 16 selected evaluation factors that could statistically distinguish between good and poor with 95% confidence level were selected. The evaluation results of 16 factors and the number of video views were compared and analyzed, but some science videos are a large difference in the rankings of the two results. Therefore, these videos showing different results were analyzed, and additional factors were discovered by identifying the characteristics of the video. 20 science videos were evaluated again with 20 renewed factors, and each factor was analyzed. 7 evaluation factors that could statistically distinguish between good and poor with 95% confidence level were selected. The final selected factors were: (1) arousing and resolving curiosity and wonder, (2) voice actors and voice delivery, (3) fun and interest, (4) interesting title, (5) empathy, communication and understanding, (6) immersion and concentration, and (7) attention. The selected 7 evaluation factors can be used as a predictive index for excellent quality and high number view’s videos, and the developed evaluation index is necessary to reduce time, manpower, and cost for video production. However, there is a disadvantage that under exceptional conditions, the number of views may be higher or lower than expected. For example, videos that are highly relevant, such as timely topics, issues, unknowns, challenges, and space, will be higher views, and have relatively lower for the fun and interest factor will be lower views.

참고자료

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