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Erschienen in: International Journal of Speech Technology 4/2022

25.11.2021

Data analysis framework for visual interactive product design under the background of cloud social speech environment

verfasst von: Xiao Ye, Xin Lv

Erschienen in: International Journal of Speech Technology | Ausgabe 4/2022

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Abstract

With the rapid development of cloud computing, mobile devices and mobile applications, mobile social cloud has gradually become a very potential technology. Mobile social cloud is a mobile application platform with collaboration as the core and resource sharing as the main purpose to carry out social interaction, so there are complex social relationships among cloud members. This paper analyzes the design characteristics of intelligent hardware products from the perspective of interaction mode, and studies the innovative design method of entity interaction. This paper summarizes the research results of interaction design of intelligent hardware products, and the research status of entity interaction and its design methods. Based on the research results of intelligent hardware product design and entity interaction theory, this paper proposes an intelligent hardware product design method based on entity interaction with “library” as the core. Voice is the most commonly used way to transmit and exchange information. With the development of science and technology, more and more products add voice function, using text processing technology, so that the machine, APP, web page can understand the user's intention, and complete the human–computer interaction between products and users. In the cloud social voice environment, this paper studies the data analysis framework of visual interactive product design. The complex information environment is constructed for the further study. The experiment analysis is provided for the testing of robustness.

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Metadaten
Titel
Data analysis framework for visual interactive product design under the background of cloud social speech environment
verfasst von
Xiao Ye
Xin Lv
Publikationsdatum
25.11.2021
Verlag
Springer US
Erschienen in
International Journal of Speech Technology / Ausgabe 4/2022
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-021-09939-4

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