An integrated decision-making method for product design scheme evaluation based on cloud model and EEG data

Lou, Shanhe; Feng, Yixiong; Li, Zhiwu; Zheng, Hao; Tan, Jianrong

doi:10.1016/j.aei.2019.101028

Cited by 52 publications

(10 citation statements)

References 42 publications

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“…By explaining the internal characteristics of external behavior, this paper studies human personality from the perspective of psychology. In order to better analyze the personality and psychological characteristics of network users under high-pressure working environment, the common personality categories are first analyzed and studied [4]. e key to combining the theory of psychological characteristics with social network analysis is to analyze and predict the users' psychological characteristics by analyzing the user data in the social network.…”

Section: Collection Of Personality and Psychological Characteristics ...mentioning

confidence: 99%

Analysis Model of Personality and Psychological Characteristics of Network Users under High-Pressure Working Environment

Yang

2022

Security and Communication Networks

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Based on the prediction of social network psychological indicators, this paper studies the analysis model of network users’ personality and psychological characteristics under a high-pressure working environment. Through the analysis of five common network users’ personalities, the characteristics of personality psychology are extracted. Combined with the high-pressure working environment, this paper analyzes the characteristics of network users’ personalities and psychology, collects the characteristics of network users’ personality themes, and analyzes the characteristics of the dynamic extended dictionary. In order to ensure the accuracy of feature analysis, the author’s LDA algorithm is used to predict the network short text psychological index of network users under a high-pressure working environment. The experimental results show that the model designed in this paper is better than the traditional method in practical application.

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Section: Collection Of Personality and Psychological Characteristics ...mentioning

confidence: 99%

Analysis Model of Personality and Psychological Characteristics of Network Users under High-Pressure Working Environment

Yang

2022

Security and Communication Networks

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“…Despite their having been a large amount of research on new product success (Ho & Tsai, 2011) or sales forecasting of new products (Lou et al, 2020), NPD still faces high risk, and the risk probability has not been significantly reduced. Moreover, there is little research on assessment of disruptiveness in new products, so it is necessary to conduct the related research on assessment of the disruptiveness in new products.…”

Section: Assessment Of Disruptiveness In New Productsmentioning

confidence: 99%

Ex-ante project management for disruptive product innovation: A review

Guo¹,

Shi²,

Peng³

et al. 2023

10.5267/j.jpm

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Disruptive innovation has attracted much interest, discussion and argument in academia and industry since it was defined. Based on a review of the related research publications, this paper aims to clarify the concept of disruptive innovation on controversies, summarize ex-ante studies on project management for disruptive product innovation, and propose potential research areas of the disruptive product innovation. The ex-ante studies are classified into three aspects: timing and conditions of disruptive innovation, factors for the implementation of disruptive innovation, forecasting and implementation of disruptive innovation. After a review of the existing methods of disruptive innovation, the potential research of disruptive innovation is presented.

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“…Their research shows that marketing combined with EEG can improve the economics of the market [16]. It is worth noting that Lou et al (2022) proposed a decision method to evaluate products, using EEG to reveal the psychological state of customers [17]. They used the sample entropy feature and RF algorithm to classify EEG, and the prediction accuracy reached 90.76%.…”

Section: Related Workmentioning

confidence: 99%

EEG recognition model based on wavelet packet decomposition and ConvNet for art design decisions

et al. 2023

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Aiming at the subjective and unquantifiable problems in art design decisions, using EEG (electroencephalogram) to explain individual behavior is an effective solution. However, the accuracy of the traditional method is lower because of the complexity of EEG. Therefore, we propose the WPD-ConvNet recognition model based on wavelet packet decomposition and convolutional networks to enhance the recognition accuracy of EEG. First, subjects wear brain electrode caps to watch four art designs with different styles and need to make decisions. The EEG is collected during this process. Then, we use the WPD to obtain the features of EEG signals from the decomposed optimal subband nodes. Compared with FFT, WPD divides the frequency band through multiple levels to obtain more EEG time-frequency features related to art design decisions. Finally, we construct an convolutional neural network to identify these features. The experimental results show that our proposed EEG recognition model can achieve an accuracy of 88.7%, which is about 10% higher than others.

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An integrated decision-making method for product design scheme evaluation based on cloud model and EEG data

Cited by 52 publications

References 42 publications

Analysis Model of Personality and Psychological Characteristics of Network Users under High-Pressure Working Environment

Analysis Model of Personality and Psychological Characteristics of Network Users under High-Pressure Working Environment

Ex-ante project management for disruptive product innovation: A review

EEG recognition model based on wavelet packet decomposition and ConvNet for art design decisions

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