Paper Number
ECIS2026-2107
Paper Type
CRP
Abstract
The prevalence of IoT devices raises privacy concerns due to their privacy-invasive sensors. However, understanding lengthy privacy policies and associated sensor specifications is cognitively demanding, leading to privacy fatigue. This study investigates whether visualization can mitigate this fatigue—based on the Elaboration Likelihood Model (ELM). We also examine whether interactive visualization via Augmented Reality (AR), as a Privacy-Enhancing Technology (PET), is more effective than static visualization in reducing fatigue, drawing on Embodied Cognition Theory (ECT). Using mixed-design ANOVA and pairwise comparisons, we found that visualizing privacy policy and sensor specifications significantly reduced privacy fatigue compared to exposure to privacy policy text. Interestingly, there was no significant difference between 2D and AR visualizations. This research bridges the gap between Information Systems (IS) and IoT sensing studies, contributing to the reduction of privacy fatigue in IoT contexts, both perceptually (user-centric insights) and technically (AR interface design).
Recommended Citation
Li, Lin; Verma, Salil; Wang, Zi; Pan, Shijia; and Fang, Shiwei, ""I Like It, But I Don't Want To Walk Around." A Comparison Between 2D and Augmented Reality Visualizations In IOT Sensing For Privacy Fatigue Reduction" (2026). ECIS 2026 Proceedings. 15.
https://aisel.aisnet.org/ecis2026/security/security/15
"I Like It, But I Don't Want To Walk Around." A Comparison Between 2D and Augmented Reality Visualizations In IOT Sensing For Privacy Fatigue Reduction
The prevalence of IoT devices raises privacy concerns due to their privacy-invasive sensors. However, understanding lengthy privacy policies and associated sensor specifications is cognitively demanding, leading to privacy fatigue. This study investigates whether visualization can mitigate this fatigue—based on the Elaboration Likelihood Model (ELM). We also examine whether interactive visualization via Augmented Reality (AR), as a Privacy-Enhancing Technology (PET), is more effective than static visualization in reducing fatigue, drawing on Embodied Cognition Theory (ECT). Using mixed-design ANOVA and pairwise comparisons, we found that visualizing privacy policy and sensor specifications significantly reduced privacy fatigue compared to exposure to privacy policy text. Interestingly, there was no significant difference between 2D and AR visualizations. This research bridges the gap between Information Systems (IS) and IoT sensing studies, contributing to the reduction of privacy fatigue in IoT contexts, both perceptually (user-centric insights) and technically (AR interface design).
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