AIEM: AI-enabled affective experience management

doi:10.1016/j.future.2018.06.044

	AIEM: AI-enabled affective experience management
	Qian, Yongfeng 1; Lu, Jiayi 1; Miao, Yiming 1; Ji, Wen 2; Jin, Renchao 1; Song, Enmin 1
	2018-12-01
发表期刊	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
ISSN	0167-739X
卷号	89 页码:438-445
摘要	Nowadays, with rapid development of artificial intelligence technology, the emerging human-machine interaction application researches grow up with machine intelligence, cognitive science and CEM (Customer Experience Management). This paper puts forward a new AIEM (Al-enabled affective experience management) method, blends Al and CEM in the emotion recognition and interactive intelligence application. Besides, in order to create good user experience, AIEM method also strives for the intelligence at various phases of emotion acquisition, emotion recognition, and emotion interaction. This paper introduces the composition and architecture of AIEM from three aspects, i.e. intelligent management of emotion data collection, accuracy management of emotion recognition, and real-time management of emotion interaction. Then we use advanced algorithm and model in two phases of emotion recognition algorithm and emotion computing offloading. Moreover, we select two deep learning algorithms (VGGNet and Alex-Net) for facial expression recognition and speech emotion recognition, respectively. In the experiment using AIWAC system in real environment, we evaluate the emotion interaction delay in different computing nodes (Cloud and Edge) using AIEM method. Experiment results show that our method can provide intuitive and reasonable user experience management, and select suitable computing nodes for users. Finally, we provide summary and prospect for the future research proposal. (C) 2018 Elsevier B.V. All rights reserved.
关键词	Artificial intelligence Affective management Emotion interaction Quality of experience
DOI	10.1016/j.future.2018.06.044
收录类别	SCI
语种	英语
资助项目	National Key RAMP;D Program of China[2017YFB1400100] ; National Natural Science Foundation of China[61572466] ; National Natural Science Foundation of China[81671768] ; Beijing Natural Science Foundation[4162059]
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000444360500034
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4925
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Song, Enmin
作者单位	1.Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Qian, Yongfeng,Lu, Jiayi,Miao, Yiming,et al. AIEM: AI-enabled affective experience management[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2018,89:438-445.
APA	Qian, Yongfeng,Lu, Jiayi,Miao, Yiming,Ji, Wen,Jin, Renchao,&Song, Enmin.(2018).AIEM: AI-enabled affective experience management.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,89,438-445.
MLA	Qian, Yongfeng,et al."AIEM: AI-enabled affective experience management".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 89(2018):438-445.