Search Results - "Guo, Zhuen"
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1
Research on Image Acquisition Method Model Based on Implicit Association Test
Published in E3S web of conferences (01-01-2020)“…In the process of the traditional quantitative method is easily interfered with by subjective and external environment, and cannot reflect the real emotion of…”
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Journal Article Conference Proceeding -
2
E-MFNN: an emotion-multimodal fusion neural network framework for emotion recognition
Published in PeerJ. Computer science (19-04-2024)“…Emotional recognition is a pivotal research domain in computer and cognitive science. Recent advancements have led to various emotion recognition methods,…”
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Journal Article -
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A study on the impact of icon structural features in human-computer interface on visual search efficiency
Published in Ergonomics (02-07-2024)“…This article, from the perspective of structural features, focuses on in-car user interface icons and explores the impact of different icon structural features…”
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Journal Article -
4
Car Emotion Labeling Based on Color-SSL Semi-Supervised Learning Algorithm by Color Augmentation
Published in International journal of intelligent systems (23-02-2023)“…In the era of emotional consumption, it has become a hot topic that commodities meet consumers’ emotional needs. As a necessity of life, the car also needs to…”
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Journal Article -
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Research on the construction method of kansei image prediction model based on cognition of EEG and ET
Published in International journal on interactive design and manufacturing (01-06-2020)“…In order to more accurately predict kansei image of user when they interact with a product, and help designer to design a product that meets user’s emotional…”
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Journal Article -
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Application of Group Cognitive Kansei Information Acquisition Based on Big Data
Published in 2020 International Conference on Computer Information and Big Data Applications (CIBDA) (01-04-2020)“…For the group's cognitive-kansei information, that is, the user's kansei expression of products, the existing research, and practical application are…”
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Conference Proceeding