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A smart assistant toward product-awareness shopping

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Abstract

This research employs sensor techniques (i.e., radio-frequency identification system) in developing a smart assistant for home furniture shopping. The implemented assistant provides friendly accessed interface that allows consumers to easily locate the product, confirm the detail information of it, and moreover, provide real-time recommendation(s) in accordance with interests of consumers. Unlike conventional online stores, the system offers the retailer extra spaces for varieties of merchandize, eliminated duplicated products display, etc. In addition, the assistant can avoid an unnecessary crashing of huge shopping carts in a crowded situation. This research discusses a new shopping pattern implemented by a smart assistant with the integration of consumer, retailer, and warehouse sides. In addition, an application is provided on smart phones in conjunction with the system to improve the competiveness in the market and increase the loyalty of their consumers. The experiment results demonstrate that collected data from end users (e.g., consumer, warehouse, and retailer itself) may provide essential information to revise business models.

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Acknowledgments

The authors are grateful for the support of the National Scientific Council (NSC) of the Republic of China (ROC) under Grant No. NSC 101-2622-E-029-002-CC3, 100-2511-S-025-002-MY2.

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Authors and Affiliations

  1. Department Management Information Systems, National Chung Hsing University, Taichung, Taiwan

    Chia-Chen Chen

  2. Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan

    Tien-Chi Huang

  3. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea

    James J. Park

  4. Department of Information Management, Tunghai University, Taichung, Taiwan

    Huang-Hua Tseng

  5. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

    Neil Y. Yen

Authors
  1. Chia-Chen Chen
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  2. Tien-Chi Huang
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  3. James J. Park
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  4. Huang-Hua Tseng
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  5. Neil Y. Yen
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Corresponding author

Correspondence to James J. Park.

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Chen, CC., Huang, TC., Park, J.J. et al. A smart assistant toward product-awareness shopping. Pers Ubiquit Comput 18, 339–349 (2014). https://doi.org/10.1007/s00779-013-0649-z

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  • DOI: https://doi.org/10.1007/s00779-013-0649-z

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