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Mobile TV: Customizing Content and Experience pp 195–204Cite as

User Experience Evaluation in the Mobile Context

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

Abstract

Multimedia services on mobile devices are becoming increasingly popular. Whereas the mobile phone is the most likely platform for mobile TV, PDAs, portable game consoles, and music players are attractive alternatives. Mobile TV consumption on mobile phones allows new kinds of user experiences, but it also puts designers and researchers in front of new challenges. On the one hand, designers have to take these novel experience potentials into account. On the other hand, the right methods to collect user feedback to further improve services for the mobile context have to be applied. In this chapter the importance of user experience research for mobile TV within the mobile context is highlighted. We present how different experience levels can be evaluated taking different mobile context categories into account. In particular, we discuss the Experience Sampling Method (ESM), which seems to be a fruitful approach for investigating user TV experiences.

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Author information

Authors and Affiliations

  1. HCI & Usability Unit, ICT&S Center, University of Salzburg, Sigmund-Haffner-Gasse 18, 5020, Salzburg, Austria

    Marianna Obrist, Alexander Meschtscherjakov & Manfred Tscheligi

Authors
  1. Marianna Obrist
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  2. Alexander Meschtscherjakov
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  3. Manfred Tscheligi
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Editors and Affiliations

  1. AM+A California, Aaron Marcus and Assoc., Inc., Euclid Avenue 1196, Berkeley, 94708-1640, U.S.A.

    Aaron Marcus

  2. Birchfield Street 3, London, E14 8ED, United Kingdom

    Anxo Cereijo Roibás

  3. Dare Digital Ltd., Margaret St. 13-14, London, W1W 8RN, United Kingdom

    Riccardo Sala

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Obrist, M., Meschtscherjakov, A., Tscheligi, M. (2010). User Experience Evaluation in the Mobile Context. 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_15

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  • DOI: https://doi.org/10.1007/978-1-84882-701-1_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-700-4

  • Online ISBN: 978-1-84882-701-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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