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Wireless Mobile Communication and Healthcare. 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 – December 2, 2022, Proceedings

Research Article

Understanding User Trust in Different Recommenders and Smartphone Applications

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-32029-3_29,
        author={Siva Simhadri and Sudip Vhaduri},
        title={Understanding User Trust in Different Recommenders and Smartphone Applications},
        proceedings={Wireless Mobile Communication and Healthcare. 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 -- December 2, 2022, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2023},
        month={5},
        keywords={Smartphone app Recommenders User trust},
        doi={10.1007/978-3-031-32029-3_29}
    }
    
  • Siva Simhadri
    Sudip Vhaduri
    Year: 2023
    Understanding User Trust in Different Recommenders and Smartphone Applications
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-32029-3_29
Siva Simhadri1, Sudip Vhaduri1,*
  • 1: Purdue University, West Lafayette
*Contact email: svhaduri@purdue.edu

Abstract

In recent times, we are witnessing rapid growth in smartphone applications due to various types of services ranging from bank transactions to health and well-being monitoring, that these apps are providing. However, most often these apps suffer from low user trust and that directly impacts the utility and adherence to the apps. Thereby, it is crucial to understand the user trust in different types of apps and recommenders to improve the utility and adherence of the apps. In this work, we perform a detailed investigation of user trust in four major types of apps, including health apps, payment apps, news apps, and gaming apps, and four major groups of recommenders, i.e., friends, family members, external recommenders (healthcare providers, news channels, or advertisements), and no recommender. From our detailed analysis of a study with 60 smartphone users with different backgrounds, we find a higher trust in health apps and payment apps when recommended by healthcare providers or physicians, and friends or family members. In general, we do not find any significant differences among users with different backgrounds. Thereby, we recommend considering specific groups of recommenders and their recommended features while developing relevant apps to achieve higher utility and adherence.

Keywords
Smartphone app Recommenders User trust
Published
2023-05-14
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-32029-3_29
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