Investigate the influencing factors of industrial design platform demand: From the perspective of emotional interaction
Document Type
Article
Publication Date
5-23-2022
Abstract
With the deep integration of industries brought about by big data technology, users' design needs are diversifying and individuating. Thanks to big data technology, users' diverse design needs can be precisely met. Meanwhile, big data can be used to realize emotional interaction for personalized design needs of users, resulting in a better user experience. Using grounded theory to mine user demand text data, this paper investigates the influencing factors of emotional interaction and dynamic resource allocation in the digital design supply chain. The results show that government-driven factors have a direct impact on the demand for industrial design in user emotional interactions. Market factors are the most fundamental in the development of an industrial design service platform, and universities play an important role in this. Furthermore, a lack of market sensitivity stems from a lack of emotional interaction with users, resulting in a schism between industry, university, and research, which has become a major impediment to the development of China's industrial design industry. This study not only lays the theoretical groundwork for understanding the mechanisms of user emotional interaction on IDSPs, but it also points the way forward for future industrial design service platform development.
Keywords
Big data, Emotional interaction, Industrial design service platform, Grounded theory, Interpretative structural model
Divisions
Faculty_of_Business_and_Accountancy
Funders
Wuhan University Industry-University-Research Project (Grant No: CXY202012)
Publication Title
Frontiers in Psychology
Volume
13
Publisher
Frontiers Media
Publisher Location
AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND