Browse > Article
http://dx.doi.org/10.14695/KJSOS.2016.19.3.103

Affective Effect of Video Playback Style and its Assessment Tool Development  

Jeong, Kyeong Ah (Department of Industrial Design, KAIST)
Suk, Hyeon-Jeong (Department of Industrial Design, KAIST)
Publication Information
Science of Emotion and Sensibility / v.19, no.3, 2016 , pp. 103-120 More about this Journal
Abstract
This study investigated how video playback styles affect viewers' emotional responses to a video and then suggested emotion assessment tool for playback-edited videos. The study involved two in-lab experiments. In the first experiment, observers were asked to express their feelings while watching videos in both original playback and articulated playback simultaneously. By controlling the speed, direction, and continuity, total of twelve playback styles were created. Each of the twelve playback styles were applied to five kinds of original videos that contains happy, anger, sad, relaxed, and neutral emotion. Thirty college students participated and more than 3,800 words were collected. The collected words were comprised of 899 kinds of emotion terms, and these emotion terms were classified into 52 emotion categories. The second experiment was conducted to develop proper emotion assessment tool for playback-edited video. Total of 38 emotion terms, which were extracted from 899 emotion terms, were employed from the first experiment and used as a scales (given in Korean and scored on a 5-point Likert scale) to assess the affective quality of pre-made video materials. The total of eleven pre-made commercial videos which applied different playback styles were collected. The videos were transformed to initial (un-edited) condition, and participants were evaluated pre-made videos by comparing initial condition videos simultaneously. Thirty college students evaluated playback-edited video in the second study. Based on the judgements, four factors were extracted through the factor analysis, and they were labelled "Happy", "Sad", "Reflective" and "Weird (funny and at the same time weird)." Differently from conventional emotion framework, the positivity and negativity of the valence dimension were independently treated, while the arousal aspect was marginally recognized. With four factors from the second experiment, finally emotion assessment tool for playback-edited video was proposed. The practical value and application of emotion assessment tool were also discussed.
Keywords
Temporal Element; Playback Style; Video Emotion; Emotion Assessment Tool;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Jeong, K. A., Choi, K., & Suk, H. J. (2015). Affective effect by articulation of the speed and color attributes of a video. 2015 Spring Conference of Korea Society of Color Studies (2015 한국색채학회 봄 학술 발표대회), 43-46.
2 Kim, B., Kim, Y., Kim, D., & Park, Y. (2014). Analysis of sensibility based on color compensation in movie and drama. Journal of Korea Society of Color Studies, 28(2), 37-48.   DOI
3 Kim, K. B. & Kim, K. S. (2011). A study on UCC video editing for sensibility delivery. Journal of Digital Contents Society, 12(4), 449-456.   DOI
4 Lang, P. J. (1980). Behavioral treatment and biobehavioral assessment: Computer applications. In J.B. Sidowski, J.H. Johnson, T.A. Williams (Eds.), Technology in mental health care delivery systems, Norwood, NJ: Ablex, 119-137.
5 Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2008). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical report A-8, Gainesville, FL: University of Florida.
6 Laban, R. (1975). Modern Educational Dance, 3rd ed. London: Macdonald & Evans.
7 Perrault, E. K. & Silk, K. J. (2014). Testing the effects of the addition of videos to a website promoting environmental breast cancer risk reduction practices: Are videos worth it? Journal of Applied Communication Research, 42(1), 20-40.   DOI
8 Lee, H. & Kim, Y. (2010). Analyses of users' responses and eye-movement patterns according to internet advertising purposes and forms. Journal of Korean Society of Design Science, 23(4), 195-206.
9 Nam, T. J., Lee, J. H., Park, S., & Suk, H. J. (2014). Understanding the relation between emotion and physical movements. International Journal of Affective Engineering, 13(3), 217-226.   DOI
10 Pearlman, K. (2009). Cutting Rhythms: Shaping the Film Edit, 1st ed. Burlington, MA: Focal Press.
11 Schindler, K. & Van Gool, L. (2008). Action snippets: How many frames does human action recognition require? In Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, 1-8.
12 Suk, H. J. & Irtel, H. (2010). Emotional response to color across media. Color Research & Application, 35(1), 64-77.   DOI
13 Visch, V. & Tan, E. (2007). Effect of film velocity on genre recognition. Media Psychology, 9(1), 59-75.   DOI
14 Zettl, H. (2001). Sight, Sound, Motion: Applied Media Aesthetics, 3th ed. Belmont, CA: Wadsworth.
15 Choi, E. Y. & Choi, H. (2010). Production techniques for mobile motion pictures base on smart phone. Korea Contents Association Thesis Journal, 10(5), 115-123.
16 Andrienko, N., Andrienko, G., Pelekis, N., & Spaccapietra, S. (2008). Basic concepts of movement data. In F. Giannotti, D. Pedreschi (Eds.), Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, Berlin: Springer, 15-38.
17 Block, B. (2008). The visual story: Creating the visual structure of film, TV and digital media, 2nd ed. Burlington, MA: Focal Press.
18 Bonneel, N., Sunkavalli, K., Paris, S., & Pfister, H. (2013). Example-based video color grading. ACM Transactions on Graphics, 32(4), 39:1-39:12.
19 Bradley, M. M. & Lang, P. J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49-59.   DOI
20 Cacioppo, J. T., Bush, L. K., & Tassinary, L. G. (1992). Microexpressive facial actions as a function of affective stimuli: Replication and extension. Personality and Social Psychology Bulletin, 18(5), 515-526.   DOI
21 Desmet, P. (2003). Measuring emotion: Development and application of an instrument to measure emotional responses to products. In M. Blythe, K. Overbeeke, A.F. Monk, P. Wright (Eds.), Funology: From Usability to Enjoyment, Dordrecht: Kluwer Academic Publishers, 111-123.
22 Detenber, B. H., Simons, R. F., & Reiss, J. E. (2000). The emotional significance of color in television presentations. Media Psychology, 2(4), 331-355.   DOI
23 Hight, C. (2014). Automation within digital videography: From the Ken Burns effect to 'meaning-making' engines. Studies in Documentary Film, 8(3), 235-250.   DOI