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Users Adaptation and Infusion of Smart City App

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Distributed, Ambient and Pervasive Interactions (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12782))

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Abstract

Smart city app is an important link in the process of urban intelligence. However, many users fail to make full use of system functions after adoption. To solve this problem, this paper analyzes the adaptive information behavior of users. It adopts grounded theory-based qualitative research to conduct personal in-depth interviews and focus group interviews with 23 interviewees, and builds a model of influencing factors on the adaptive behavior of smart app users. The research shows that emotional perception, smart environment, users’ personal characteristics and non-linear tasks are the main influencing factors on users’ adaptive behavior, and technology exploration behavior has a positive effect on technology utilization behavior.

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Acknowledgement

This research was supported by two grants respectively funded by the Natural Science Foundation of Guangdong (No.: 2018A030313706) and the National Natural Science Foundation of China (No.: 71974215).

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Authors and Affiliations

  1. School of Information Management, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China

    Bingqian Zhang, Caihua Liu, Yongxin Kong, Yuwen Wang & Guochao Peng

Authors
  1. Bingqian Zhang
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  2. Caihua Liu
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  3. Yongxin Kong
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  4. Yuwen Wang
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  5. Guochao Peng
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Corresponding author

Correspondence to Guochao Peng .

Editor information

Editors and Affiliations

  1. Smart Future Initiative, Frankfurt, Germany

    Norbert Streitz

  2. Faculty of Arts and Science, Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Zhang, B., Liu, C., Kong, Y., Wang, Y., Peng, G. (2021). Users Adaptation and Infusion of Smart City App. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2021. Lecture Notes in Computer Science(), vol 12782. Springer, Cham. https://doi.org/10.1007/978-3-030-77015-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-77015-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77014-3

  • Online ISBN: 978-3-030-77015-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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