E3S Web Conf.
Volume 179, 20202020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|Number of page(s)||4|
|Section||Environmental and Industrial Design|
|Published online||23 July 2020|
The Application of User Portrait Based on Big Data Analysis in Industrial Design Teaching
School of Design & Art, Dalian Institute of Science and Technology, Dalian, LiaoNing, 116052, China
∗ Corresponding author: E-mail: email@example.com
User analysis is increasingly important in today’s design activities. Through data analysis platforms and user behavior analysis tools, students can efficiently and accurately summarize product positioning, core concepts, distinctive features, and other aspects of the early design stage, and use the data to grasp user characteristics more accurately. Eventually, the goal of cultivating students’ user analysis ability is achieved, which plays an important role in the training of industrial design talents in the context of big data analysis and new retail.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.