• DocumentCode
    1762517
  • Title

    HTML5 Technologies for Effective Cross-Platform Interactive/Smart TV Advertising

  • Author

    Perakakis, Emmanouil ; Ghinea, Gheorghita

  • Author_Institution
    Dept. of Comput. Sci., Brunel Univ., Uxbridge, UK
  • Volume
    45
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    534
  • Lastpage
    539
  • Abstract
    Developing an interactive TV Commercial (iTVC) for Internet connected TVs is complicated by the number of different platforms, each with its own operating system and application programming interface (API). To achieve cross-platform compatibility, we propose to use standard web technologies, instead of proprietary APIs for each device. With our approach, only one iTVC was developed, which contained commonly used features of these kinds of advertisements, and used only web technologies (HTML5, CSS, and JavaScript). The iTVC was first developed on a desktop personal computer and was tested on three different smart TV platforms for feature compatibility. After achieving compatibility, a user study with 36 participants evaluated how platform-related differences affect aspects of user experience (UX) and effectiveness of the interactive ad. The measured UX/effectiveness aspects and usability were consistent regardless of the iTVC performance on each device. These results show the potential of web technologies to deliver a uniform (and effective) interactive Ad across a range of heterogeneous devices.
  • Keywords
    Internet; advertising; application program interfaces; hypermedia markup languages; interactive systems; interactive television; user interfaces; API; HTML5 technologies; Internet; Web technologies; application programming interface; cross-platform interactive/smart TV advertising; iTVC; interactive TV commercial; user experience; Advertising; Browsers; Hardware; Navigation; Performance evaluation; Standards; TV; Interactive TV advertising; smart TV advertising; t-commerce; user experience (UX);
  • fLanguage
    English
  • Journal_Title
    Human-Machine Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2291
  • Type

    jour

  • DOI
    10.1109/THMS.2015.2401975
  • Filename
    7059247