AIEM: AI-enabled affective experience management | |
Qian, Yongfeng1; Lu, Jiayi1; Miao, Yiming1; Ji, Wen2; Jin, Renchao1; Song, Enmin1 | |
刊名 | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE |
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 |
DOI | 10.1016/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 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000444360500034 |
内容类型 | 期刊论文 |
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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论