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International Conference on Applied Human Factors and Ergonomics

AHFE 2017: Advances in Usability and User Experience pp 656–664Cite as

Measuring User Experience of Using Battery Swapping Station

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 607)

Abstract

This study aims to understand the factors that influence the acceptance of battery swap station (BSS) for electric scooters and the intention of using the BSS in the light of the user experience. This study is an initial stage; therefore, an experiment was conducted with a sample of 28 participants who had no experienced the service from selected BSS of this study - Gostation and filled out user experience evaluation questionnaire for eliciting their emotions and usage intention. The results showed that the average operation time was approximately 32.05 s. All participants agreed with the Gostation may provide them with a convenient charging service. Results also revealed that positive correlations were noted between usage intention and positive emotions, such as the emotions of pleasant surprise, fascination, and desire.

Keywords

  • Battery swapping station
  • User experience
  • Positive emotions
  • Usage intention

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  • DOI: 10.1007/978-3-319-60492-3_62
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Acknowledgments

The author would like to express her gratitude to Taiwanese Ministry of Science and Technology for the funding under the grant number MOST 105-2221-E-161-002.

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Authors and Affiliations

  1. Oriental Institute of Technology, Marketing and Distribution Management, Pan-Chiao, 22061, Taiwan, R.O.C.

    Fei-Hui Huang

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  1. Fei-Hui Huang
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Correspondence to Fei-Hui Huang .

Editor information

Editors and Affiliations

  1. University of Central Florida , Orlando, Florida, USA

    Tareq Ahram

  2. Catholic University of Pernambuco , Boa Vista, Recife, Brazil

    Christianne Falcão

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Huang, FH. (2018). Measuring User Experience of Using Battery Swapping Station. In: Ahram, T., Falcão, C. (eds) Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-60492-3_62

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  • DOI: https://doi.org/10.1007/978-3-319-60492-3_62

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