Investigating Privacy Concerns Related to Mobile Augmented Reality Apps - A Vignette Based Online Experiment

Harborth, D. and Pape, S.

In Computers in Human Behavior, (to appear), 2021.

Abstract

Augmented reality (AR) gained much public attention after the success of Pokemon Go in 2016, and has found application in online games, social media, interior design, and other services since then. AR is highly dependent on various different sensors gathering real time context-specific personal information about the users causing more severe and new privacy threats compared to other technologies. These threats have to be investigated as long as AR is still shapeable in order to ensure users' privacy and foster market adoption of privacy-friendly AR systems. To provide viable recommendations regarding the design of privacy-friendly AR systems, we follow a user-centric approach and investigate the role and causes of privacy concerns within the context of mobile AR (MAR) apps. We design a vignette-based online experiment adapting ideas from the framework of contextual integrity to analyze drivers of privacy concerns related to MAR apps, such as characteristics of permissions, trust-evoking signals, and AR-related contextual factors.

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Bibtex

@Article{HP21chb,
  author   = {David Harborth and Sebastian Pape},
  title    = {Investigating Privacy Concerns Related to Mobile Augmented Reality Apps - A Vignette Based Online Experiment},
  journal  = {Computers in Human Behavior},
  year     = {2021},
  volume   = {(to appear)},
  month    = {04},
  doi      = {10.1016/j.chb.2021.106833},
  keywords = {privacy, AR, psychology, CS4E, select},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0747563221001564},
}

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