Kim, In Jung
(2025)
Understanding privacy awareness and mitigation strategies in IoT sensing contexts.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
In the IoT era, there is a lack of privacy awareness of sensing contexts that have the ability of sensing devices to perceive and understand the environment or situation in which they are deployed. Lack of privacy awareness can cause privacy and security risks while limiting control over data collection and utilization. To understand people’s privacy awareness, existing literature has reported that owners are typically concerned about their personal data being collected, shared, and analyzed by smart home devices. In contrast, bystanders tend to prioritize their relationships with the owners rather than their data collection privacy. Further, owners have generally been shown to be concerned about their health data, whereas bystanders are concerned about the lack of consent towards data collection.
To understand people's privacy expectations in diverse sensing contexts, we found that indoor location type is a vital factor affecting people's comfort, notification preferences, and allow-deny decisions in various sensing scenarios. However, prior work on users' privacy perceptions has generally investigated space sensing, and there is limited work on privacy perception across space and wearable sensing in the existing literature. Comparing different sensing device types is important because individuals can make more informed decisions about the sensing technology they use (as an owner) or are exposed to (as a bystander), such as how they share or control their personal information. In the context of a voice assistant, both smart speakers as space sensing and smartphones with a voice assistant as wearable sensing utilize a microphone sensor to listen to voice commands and an audio processor to process the audio and respond to the user query. Even though they use the same functionality and sensing modality, we found that users' privacy awareness varies. In addition, we present that a divergence of privacy concerns in the vicinity of space and wearable sensors can lead us to engage in unconventional privacy-preserving behaviors.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| Date: |
7 January 2025 |
| Date Type: |
Publication |
| Defense Date: |
6 August 2024 |
| Approval Date: |
7 January 2025 |
| Submission Date: |
16 August 2024 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
187 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Computing and Information > Computer Science |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
privacy, awareness, smart campus, voice assistant, smart speaker, smartphone, IoT sensor, mitigation strategy |
| Date Deposited: |
07 Jan 2025 19:34 |
| Last Modified: |
07 Jan 2025 19:34 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46910 |
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