• DocumentCode
    2167770
  • Title

    Designing an adaptive online advertisement system: A focus group methodology

  • Author

    Qudah, Dana A.Al ; Cristea, Alexandra I. ; Shi, Lei ; Alqatawna, Ja´far

  • Author_Institution
    Department of Computer Science, University of Warwick, CV4 7AL, Coventry, United Kingdom
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    Human Computer Interaction systems have access to the valuable resource of information that can be collected directly from users of these systems and services. This idea has become a part of the design process for systems that touch users´ perceptions — here, in the field of online advertising and marketing. This research paper discusses a revisited design for an adaptive online advertisement system called MyAds. The methodological approach used for proposing a new design was the focus group methodology, due to the fact that it produces concrete ideas that are needed at this stage of the research. The main outcomes of the experiment agreed on using Amazon as a motivational blueprint for the new design and generated a list of requirements from users, in order for their acceptance level of personalised online advertisements to increase.
  • Keywords
    Adaptive systems; Advertising; Facebook; Feature extraction; Twitter; Focus groups; HCI; adaptive; e-advertising; requirement list;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2015 10th International Conference on
  • Conference_Location
    Cambridge, United Kingdom
  • Print_ISBN
    978-1-4799-6598-4
  • Type

    conf

  • DOI
    10.1109/ICCSE.2015.7250236
  • Filename
    7250236