• DocumentCode
    240756
  • Title

    HasTA: Hasta Training Application Learning Theory Based Design of Bharatanatyam Hand Gestures Tutor

  • Author

    Majumdar, Rwitajit ; Bhawar, Pooja ; Sahasrabudhe, Sameer ; Dinesan, Priya

  • Author_Institution
    Indian Inst. of Technol., Bombay, Mumbai, India
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    642
  • Lastpage
    643
  • Abstract
    Hastas (Hand Gestures) are key elements in any of the Indian Classical dance forms. They have both functional aspects and an aesthetic appeal during Nritta (pure dance) performances. In this paper we report a pilot study conducted to understand what is the desired teaching-learning experience for teaching the Hastas as perceived by the students and the instructors. Based on these need analysis we propose a design for developing a mobile application "HasTA", as a Bharatanatyam gesture tutor. The design of the various elements in the tutor applies multimedia-learning principles to develop the learner interface. A proposed instructional strategy to use this application has essential 3 phases: demo - practice - perfect. An idea of a Blender Game Engine (BGE) based Demo, Practice and Perfect module in the application by integrating Kinect or web cam is discussed.
  • Keywords
    computer based training; computer games; humanities; mobile computing; multimedia computing; teaching; BGE based demo-practice and perfect module; Bharatanatyam hand gestures tutor; Hasta training application; Indian Classical dance forms; Kinect; Nritta; Web cam; aesthetic appeal; blender game engine; demo phases; functional aspects; instructional strategy; learner interface; learning theory based design; mobile application; multimedia-learning principles; perfect phases; practice phases; pure dance performances; teaching-learning experience; Conferences; Educational institutions; Engines; Games; Mobile communication; Training; Bharatanatyam; Blender; Hastas; Kinect; Mobile Application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ICALT.2014.188
  • Filename
    6901564