Abstract
We develop a multimedia instruction system for the inheritance of skills. This system identifies the difficult segments of video by analyzing user behavior. Difficulties may be inferred by the learner’s requiring more time to fully process a portion of video; they may replay or pause the video during the course of a segment, or play it at a slow speed. These difficult video segments are subsequently assumed to require the addition of expert, instructor annotations, in order to enable learning. We propose a time-dependent annotation mechanism, employing a level of detail (LoD) approach. This annotation is superimposed upon the video, based on the user’s selected speed of playback. The LoD, which reflects the difficulty of the training material, is used to adapt whether to display the annotation to the user. We present the results of an experiment that describes the relationship between the difficulty of material and the LoDs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nagamatsu, T., Kaieda, Y., Kamahara, J., Shimada, H.: Development of a Skill Acquisition Support System Using Expert’s Eye Movement. In: Smith, M.J., Salvendy, G. (eds.) HCII 2007. LNCS, vol. 4558, pp. 430–439. Springer, Heidelberg (2007)
Kamahara, J., Nagamatsu, T., Fukuhara, Y., Kaieda, Y., Ishii, Y.: Method for Identifying Task Hardships by Analyzing Operational Logs of Instruction Videos. In: SAMT 2009. LNCS, vol. 5887, pp. 161–164. Springer, Heidelberg (2009)
Syeda-Mahmood, T., Ponceleon, D.: Learning Video Browsing Behavior and its Application in the Generation of Video Previews. In: Proc. Multimedia ’01, vol. 9, pp. 119–128. ACM, New York (2001)
Clark, J.H.: Hierarchical Geometric Models for Visible Surface Algorithms. Communications of the ACM 19(10), 547–554 (1976)
Yu, B., Ma, W.-Y., Nahrstedt, K., Zhang, H.-J.: Video Summarization Based on User Log Enhanced Link Analysis. In: Proc. Multimedia ’03, pp. 382–391. ACM, New York (2003)
He, L., Sanocki, E., Gupta, A., Grudin, J.: Auto-summarization of Audio-Video Presentations. In: Proc. of Multimedia ’99. ACM, New York (1999)
Drucker, S.M., Glatzer, A., Mar, S.D., Wong, C.: SmartSkip: consumer level browsing and skipping of digital video content. In: Proc. of the SIGCHI conference on Human factors in computing systems, pp. 219–226. ACM, New York (2002)
Wildemuth, B.M., Marchionini, G., Yang, M., Geisler, G., Wilkens, T., Hughes, A., Gruss, R.: How fast is too fast? evaluating fast forward surrogates for digital video. In: Proc. of the 3rd ACM/IEEE-CS joint conference on Digital libraries, pp. 221–230. IEEE Computer Society, Los Alamitos (2003)
Casares, J., Long, C., Myers, B., Bhatnagar, R., Stevens, S., Dabbish, L., Yocum, D., Corbett, A.: Simplifying Video Editing using Metadata. In: Proc. of DIS’02, pp. 157–166. ACM, New York (2002)
Doherty, J., Girgensohn, A., Helfman, J., Shipman, F., Wilcox, L.: Detail-on-demand hypervideo. In: Proc. of the Multimedia ’03, pp. 600–601. ACM, New York (2003)
SMIL–Synchronized Multimedia Integration Language, http://www.w3.org/AudioVideo/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kamahara, J., Nagamatsu, T., Tada, M., Kaieda, Y., Ishii, Y. (2010). Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail. In: De Bra, P., Kobsa, A., Chin, D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13470-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-13470-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13469-2
Online ISBN: 978-3-642-13470-8
eBook Packages: Computer ScienceComputer Science (R0)