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
Link To Document :
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