{"title":"运用大数据分析和unity游戏引擎的技术验收模型","authors":"Hongye Zhong, Jitian Xiao","doi":"10.1109/ICSESS.2015.7338998","DOIUrl":null,"url":null,"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.","PeriodicalId":335871,"journal":{"name":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Apply technology acceptance model with big data analytics and unity game engine\",\"authors\":\"Hongye Zhong, Jitian Xiao\",\"doi\":\"10.1109/ICSESS.2015.7338998\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":335871,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2015.7338998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2015.7338998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Apply technology acceptance model with big data analytics and unity game engine
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.