Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Although a multimodal data analysis, comprising physiological and questionnaire survey data, provides better insights into addressing management science concerns, such as challenging the predictions of consumer choice behavior, studies in this field are scarce because of two obstacles: limited sampl...

Full description

Bibliographic Details
Main Authors: Shinya Watanuki, Yumiko Nomura, Yuki Kiyota, Minami Kubo, Kenji Fujimoto, Junko Okada, Katsue Edo
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
questionnaire survey
marketing research
EEG
deep learning
generative adversarial networks (GANs)
Online Access:https://www.mdpi.com/2076-3417/14/1/378

Internet

https://www.mdpi.com/2076-3417/14/1/378

Similar Items