Abstract
The paper presents information overload and visual activity of media, explaining the development of a quantitative method for measuring visual activity in video content. The measure is based on the Limited Capacity Model of Mediated Message Processing and background subtractions algorithms. The idea underlying the described method is to present the quantitative measure of media visual activity that could be useful in determining the moment when information overload could occur. The method has been applied for measuring visual activity on four groups of YouTube educational video clips. All of them are from language learning channels. The difference between these four groups is statistically significant and easily discernible.
Keywords
- Information overload
- Information density
- Visual activity
- LC4MP
- Background subtraction algorithms
- Gesturing
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Dokic, K., Lauc, T., Radisic, B. (2019). Toward Information Overload: Measuring Visual Activity in Teaching Materials Production. In: Jallouli, R., Bach Tobji, M., Bélisle, D., Mellouli, S., Abdallah, F., Osman, I. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2019. Lecture Notes in Business Information Processing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-30874-2_16
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