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Evaluating an mHealth Application: Findings on Visualizing Transportation and Air Quality

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Diversity, Divergence, Dialogue (iConference 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12645))

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Abstract

This paper presents the results of a usability study conducted to evaluate an mHealth application that integrates information about transportation options and air quality levels. By visualizing the air quality levels along the transportation routes available, the users of the mHealth application proposed can make more informed choices before departure. The mHealth application aims to help users take appropriate safety precautions beforehand. The results obtained with the user study indicate that the familiar layout of the application led to a high sentiment score and usability ratings of system usability scale. The option to select the least polluted route to travel was perceived as original and useful to the participants.

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Acknowledgements

This work was partially supported by a multidisciplinary seed grant from George Mason University. The authors would like to thank GEST-DC project, Dr. Jenna Krall, and participants for their support in this project.

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Authors and Affiliations

  1. George Mason University, 4400 University Drive, Fairfax, VA, 22030, USA

    Pattiya Mahapasuthanon, Niloofar Kalantari & Vivian Genaro Motti

Authors
  1. Pattiya Mahapasuthanon
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  2. Niloofar Kalantari
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  3. Vivian Genaro Motti
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Corresponding author

Correspondence to Pattiya Mahapasuthanon .

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Editors and Affiliations

  1. Humboldt University of Berlin, Berlin, Germany

    Katharina Toeppe

  2. Renmin University of China, Beijing, China

    Hui Yan

  3. The University of Hong Kong, Hong Kong, Hong Kong

    Samuel Kai Wah Chu

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Mahapasuthanon, P., Kalantari, N., Motti, V.G. (2021). Evaluating an mHealth Application: Findings on Visualizing Transportation and Air Quality. In: Toeppe, K., Yan, H., Chu, S.K.W. (eds) Diversity, Divergence, Dialogue. iConference 2021. Lecture Notes in Computer Science(), vol 12645. Springer, Cham. https://doi.org/10.1007/978-3-030-71292-1_24

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  • DOI: https://doi.org/10.1007/978-3-030-71292-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71291-4

  • Online ISBN: 978-3-030-71292-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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