Research on UI and Intelligent Product Design of Prefabrication System for Urban white-collar Work Meals under the Background of Healthy China
- DOI
- 10.2991/978-94-6463-266-8_39How to use a DOI?
- Keywords
- : UI design; intelligent product design; urban white-collar workers; pre made work meals
- Abstract
To promote a healthy lifestyle in China, we began by examining the issue of unhealthy eating habits among urban white-collar workers. By conducting field surveys and using research methods such as interviews and observations, we identified common pain points related to their dining experiences. We then sought to address these issues by identifying potential opportunities and incorporating feedback from various stakeholders in the community. Our main focus was on creating a new service model that combines online and offline solutions, with an emphasis on improving the healthiness of white-collar workers’ meals. To achieve this goal, we developed an online working meal app and accompanying public service products. Through these tools, we aim to provide users with the resources they need to make healthy eating choices and encourage the adoption of healthier eating habits.
- Copyright
- © 2024 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
TY - CONF AU - Lina He AU - Pengfei Jing AU - Xiaodan Hu AU - Ruike Sun AU - Jie Dong PY - 2023 DA - 2023/10/10 TI - Research on UI and Intelligent Product Design of Prefabrication System for Urban white-collar Work Meals under the Background of Healthy China BT - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023) PB - Atlantis Press SP - 370 EP - 378 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-266-8_39 DO - 10.2991/978-94-6463-266-8_39 ID - He2023 ER -