Abstract
The huge volume of available video content calls for methods that offer insight to the content without necessitating burdensome users’ extra effort or being applicable to specific types or conditions. Preliminarily experimentation on collective users’ interactions with the web video interface has been shown to offer such information to a great extend. This work, reports on the design, execution and results of a controlled user-experiment wherein participants are requested to view a video and identify their opinion on the importance of the scenes viewed in a realistic web-based video content viewing scenario, based on the interface of prominent video web-streaming provider. Initial results on the data collected show increased interaction on areas that were expected to attract attention whether related to the content or not.
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© 2013 Springer-Verlag Berlin Heidelberg
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Spiridonidou, A., Karydis, I., Avlonitis, M. (2013). Mimicking Real Users’ Interactions on Web Videos through a Controlled Experiment. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41016-1_7
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DOI: https://doi.org/10.1007/978-3-642-41016-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41015-4
Online ISBN: 978-3-642-41016-1
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