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m-YouTube Mobile UI: Video Selection Based on Social Influence

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Mobile TV: Customizing Content and Experience

Part of the book series: Human-Computer Interaction Series ((HCIS))

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Abstract

The ease-of-use of Web-based video-publishing services provided by applications like YouTube has encouraged a new means of asynchronous communication, in which users can post videos not only to make them public for review and criticism, but also as a way to express moods, feelings, or intentions to an ever-growing network of friends. Following the current trend of porting Web applications onto mobile platforms, the authors sought to explore user-interface design issues of a mobile-device-based YouTube, which they call m-YouTube. They first analyzed the elements of success of the current YouTube Web site and observed its functionality. Then, they looked for unsolved issues that could give benefit through information-visualization design for small screens on mobile phones to explore a mobile version of such a product/service. The biggest challenge was to reduce the number of functions and amount information to fit into a mobile phone screen, but still be usable, useful, and appealing within the YouTube context of use and user experience. Borrowing ideas from social research in the area of social influence processes, they made design decisions aiming to help YouTube users to make the decision of what video content to watch and to increase the chances of YouTube authors being evaluated and observed by peers. The paper proposes a means to visualize large amounts of video relevant to YouTube users by using their friendship network as a relevance indicator to help in the decision-making process.

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References

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Acknowledgments

This chapter is based on the paper by Marcus and Perez (Marcus & Perez 2007) that appeared in the Proceedings of the 2007 Human–Computer Interface International conference in Beijing.

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Correspondence to Aaron Marcus .

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© 2010 Springer-Verlag London Limited

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Marcus, A., Perez, A. (2010). m-YouTube Mobile UI: Video Selection Based on Social Influence. In: Marcus, A., Roibás, A., Sala, R. (eds) Mobile TV: Customizing Content and Experience. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84882-701-1_17

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  • DOI: https://doi.org/10.1007/978-1-84882-701-1_17

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-700-4

  • Online ISBN: 978-1-84882-701-1

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