Paper Info
Title
AIEM: AI-enabled affective experience management.
Abstract
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 (AI-enabled affective experience management) method, blends AI 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 (VGG-Net 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.
Year
DOI
Venue
2018
10.1016/j.future.2018.06.044
Future Generation Computer Systems
Keywords
Field
DocType
Artificial intelligence,Affective management,Emotion interaction,Quality of experience
Data collection,User experience design,Experience management,Architecture,Computer science,Emotion recognition,Human–computer interaction,Artificial intelligence,Deep learning,Affect (psychology),Cloud computing,Distributed computing
Journal
Volume
ISSN
Citations 
89
0167-739X
0
PageRank 
References 
Authors
0.34
37
6
Name
Order
Citations
PageRank
yongfeng qian11216.84
Jiayi Lu2122.32
Yiming Miao3497.80
Wen Ji418627.40
Renchao Jin5308.83
Enmin Song651.86