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Qingyan Zhou, Hao Li, Youhua Zhang and Junhong Zheng
Traditional product evaluation research is to collect data through questionnaires or interviews to optimize product design, but the whole process takes a long time to deploy and cannot fully reflect the market situation. Aiming at this problem, we propos...
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Pengfei Zhang, Fenghua Li, Lidong Du, Rongjian Zhao, Xianxiang Chen, Ting Yang and Zhen Fang
To satisfy the need to accurately monitor emotional stress, this paper explores the effectiveness of the attention mechanism based on the deep learning model CNN (Convolutional Neural Networks)-BiLSTM (Bi-directional Long Short-Term Memory) As different ...
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Yingjing Huang, Teng Fei, Mei-Po Kwan, Yuhao Kang, Jun Li, Yizhuo Li, Xiang Li and Meng Bian
In recent years, with the growing accessibility of abundant contextual emotion information, which is benefited by the numerous georeferenced user-generated content and the maturity of artificial intelligence (AI)-based emotional computing technics, the e...
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
As people communicate with each other, they use gestures and facial expressions as a means to convey and understand emotional state. Non-verbal means of communication are essential to understanding, based on external clues to a person?s emotional state. ...
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Massimo Stella, Valerio Restocchi and Simon De Deyne
The COVID-19 pandemic forced countries all over the world to take unprecedented measures, like nationwide lockdowns. To adequately understand the emotional and social repercussions, a large-scale reconstruction of how people perceived these unexpected ev...
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Afif Fathullah and Katharine S. Willis
This paper presents an exploratory study on the potential for sharing urban data; one where citizens create their own data and use it to understand and influence urban planning decisions. The aim of the study is to explore new models of participation thr...
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