Abstract
With the rising of the e-commerce, consumers nowadays prefer to shop online out of its efficiency, flexibility and abundance of choice. That is to say, hundreds of traditional offline shopping malls are now going through the imperative urgency of transformation. This paper uses a variety of research methods and classifies the people in the malls based on their needs. Secondly, this paper proposes several design strategies for different groups, meanwhile summarizes the effective ways of user experience improvements. In general, this research is dedicated to suggesting mighty directions for the transformation of offline shopping malls.
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Jin, C., Jiang, J., Zhu, D., Chen, X. (2020). User Experience Improvement Design of Shopping Mall Based on Crowd Classification Research. In: Ahram, T., Falcão, C. (eds) Advances in Usability and User Experience. AHFE 2019. Advances in Intelligent Systems and Computing, vol 972. Springer, Cham. https://doi.org/10.1007/978-3-030-19135-1_63
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DOI: https://doi.org/10.1007/978-3-030-19135-1_63
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