• DocumentCode
    123457
  • Title

    The research of human-machine interactions unity on IOS and android smartphone platform

  • Author

    Minghui Hu ; Peng Bian ; Nairen Zhang

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    This paper recapitulate the trend that the perfect interaction between smart phone and human is user-centered, which make the mobile not only a tool, but a emotional partner. From the investigation, we learn what the users regard android mobile as, and understand that the user care only about the functionality to do their work rather than the characteristics of the android. We advance some principles which were based on the discussion to help designer to do user-centered interaction design, and will lead to the user-centered, reassuring, comfortable and consumer-satisfied human-machine interface. Combining with traditional interaction design and the characteristics of interactive manner, the paper put forward some Prediction Technology, by which can be used to design a user-centered system.
  • Keywords
    Android (operating system); human computer interaction; iOS (operating system); mobile computing; smart phones; user centred design; Android smartphone platform; IOS smartphone platform; consumer-satisfied human-machine interface; human-machine interaction unity; prediction technology; smart phone-human interaction; user experience; user-centered interaction design; Computers; Layout; Mobile communication; Presses; Psychology; Rendering (computer graphics); Smart phones; IOS; android; human-machine interface; interaction design; mobile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926540
  • Filename
    6926540