• DocumentCode
    3699070
  • Title

    Apply technology acceptance model with big data analytics and unity game engine

  • Author

    Hongye Zhong;Jitian Xiao

  • Author_Institution
    School of Computer and Security Science, Edith Cowan University, Western Australia
  • fYear
    2015
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    In modern enterprises, customer data is highly valued for consumer behavior analysis and business strategy development. The objective of this research is to develop a framework that promotes the use of Unity for Big Data Analytics on consumer behaviors with Technology Acceptance Model. Unity3D is a popular game engine and a development tool that enables graphical game development for multiple platforms. Data of the customer participation in the games is collected, and Big Data Analytic techniques such as clustering and visualization are applied to provide better insight into the consumer behaviors. Based on Technology Acceptance Model, prediction is made to improve the vending performance of innovative products. Finally, an experimental system is designed referring to the proposed framework as an illustration for the framework implementation.
  • Keywords
    "Games","Hidden Markov models","Engines","Big data","Consumer behavior","Data models","Automobiles"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7338998
  • Filename
    7338998