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AIEM: AI-enabled affective experience management

文献类型：期刊论文

作者Qian, Yongfeng1; Lu, Jiayi1; Miao, Yiming1; Ji, Wen2; Jin, Renchao1; Song, Enmin1
刊名FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
出版日期2018-12-01
卷号89页码:438-445
关键词Artificial intelligence Affective management Emotion interaction Quality of experience
ISSN号0167-739X
DOI10.1016/j.future.2018.06.044
英文摘要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.
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
语种英语
WOS记录号WOS:000444360500034
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/4924]  
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.

入库方式： OAI收割

来源：计算技术研究所

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