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