Abstract
We identified watching behaviors on the first IPTV established with Google OS in the world. Log analysis method was taken because actual usage behaviors could be understood. Log data that forty eight users used the IPTV service were collected by the application embedded in the IPTV. As a result of the log data analysis, the frequency of zapping channels by channel up & down button was more than that of changing channels by recommendation or searching. It was indicated that users did not access VOD contents by recommendation. However, a search was used to find Youtube contents.
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References
Wikipedia, http://en.wikipedia.org/wiki/Smart_TV
Thomas, N.: Making TV social. In: The future of TV: Strategies for Becoming Connected, Social, and in the Cloud, pp. 13–15. IP&TV World Forum (2012)
Smart TV Alliance, http://www.smarttv-alliance.org/default.aspx
Kim, M.: Comparison of usage pattern of contents by each of smart devices, KISDI stat report (2013)
Wilfinger, D., Pirker, M., Bernhaupt, R., Tscheligi, M.: Evaluating and investigating an iTV interaction concept in the field. In: Euro ITV 2009, pp. 175–178 (2009)
Vinayagamoorthy, V., Hammond, M., Allen, P., Evans, M.: Researching the user experience for connected TV - A case study. In: CHI 2012, pp. 589–604 (2012)
Nielsen, J.: Usability engineering. Morgan Kaufmann, San Francisco (1993)
Park, Y., Kim, M., Lee, K.: Analysis of proof of smart device usage behavior, Basic research. Korea Information Society Development Institute (2011)
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Kim, D., Choi, J. (2014). The Gap between What a Service Provider Shows Off and What Users Really Watch. In: Kurosu, M. (eds) Human-Computer Interaction. Applications and Services. HCI 2014. Lecture Notes in Computer Science, vol 8512. Springer, Cham. https://doi.org/10.1007/978-3-319-07227-2_68
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DOI: https://doi.org/10.1007/978-3-319-07227-2_68
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07226-5
Online ISBN: 978-3-319-07227-2
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