Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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The Application of Big Data Analysis to Assist the Design of Children’s Food Packaging Experience Model

Authors
Ting Wen1, 2, *, Chunlei Fan1, Ting Tao1, Wenbin Gao1
1Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
2University of Chinese Academy of Science, No. 16, Lincui Road, Chaoyang District, Beijing, China
*Corresponding author. Email: wentin1234@126.com
Corresponding Author
Ting Wen
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_55How to use a DOI?
Keywords
Big data; Semantic Analysis; User Experience; Packaging Demand Mining; Children’s Food
Abstract

In the era of experience economy, the unchanging and boring packaging form has been unable to meet the emotional experience and psychological needs of consumers. Especially in the field of children’s food products, packaging design should fully consider children’s physical and mental characteristics. Traditional user experience research was with small sample size and underrepresentation. Big data features massive data and collects more dimensions of user data, which provides the possibility for personalized user experience design. To assist the design of children’s food packaging experience model, this study explored a new method of big data analysis, through data collection, data cleaning and semantic analysis of big data from social media, with buzz from 2–10 year-old children’s parents. A “utility-emotional two-dimension structure model” of children’s diary packages was constructed, and 4 indicators from each dimension were identified to explain the impact of the packaging on user experience. This study explored how to supplement a user experience structure model based on social big data. The packaging design model could make children get more comprehensive experience, is conducive to promoting children’s packaging and product purchase, is the future direction of emotional packaging design.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_55How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ting Wen
AU  - Chunlei Fan
AU  - Ting Tao
AU  - Wenbin Gao
PY  - 2022
DA  - 2022/12/27
TI  - The Application of Big Data Analysis to Assist the Design of Children’s Food Packaging Experience Model
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 534
EP  - 544
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_55
DO  - 10.2991/978-94-6463-064-0_55
ID  - Wen2022
ER  -