• DocumentCode
    2999546
  • Title

    A Learning Method to Support User´s Understanding about Complex Systems Based on Functional Models: An Empirical Study on Youg and Elderly Users of Mobile Phones

  • Author

    Furukawa, Hiroshi

  • Author_Institution
    Dept. of Risk Eng., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2011
  • fDate
    March 30 2011-April 1 2011
  • Firstpage
    370
  • Lastpage
    375
  • Abstract
    Complexity is one of big issues which may decrease usability of an engineering system. It was reported that mobile phone users sometimes feel anxiety because of the complexity. The purpose of our work is to propose a self-learning method which can support users to have an appropriate mental model of a complex system, e.g., a mobile phone in this study. Explanation about functions of a target system is made using a means-end layered model. A user can learn from functions with the most abstract representation, and move on more concrete and detailed representation. After the first step, he or she moves to technical explanations of actual troubles based on the representations used in the first step. In the third step, the contents show procedures which a user should take in a specific trouble case. It is expected that the learner will have ability of effective use and of trouble avoiding. The efficacy of the proposed method was shown through a cognitive experiment, where several university students and elderly people participated as the learners.
  • Keywords
    mobile radio; abstract representation; complex systems; engineering system; functional models; means-end layered model; mobile phones; self-learning method; Cognitive science; Concrete; Hazards; Internet; Mobile handsets; Senior citizens; anxiety; e-learning; elderly users; learner model; mental model; mobile phones; risk recognition; trouble avoiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-61284-705-4
  • Electronic_ISBN
    978-0-7695-4376-5
  • Type

    conf

  • DOI
    10.1109/UKSIM.2011.77
  • Filename
    5754269