Privacy risk awareness and the behavior of smartwatch users: a case study of Indiana university students
Abstract
The next big entrant into the interconnected family of the Internet of Things (IoT) is the smartwatch, which brings together a range of functionalities hitherto provided separately by traditional watch and the smartphone. While a lot of studies have focused on the technical/security aspects of the smartwatch, not much attention has been given to the user and privacy aspects of the smartwatch. In this work, we begin an exploratory user study aimed at assessing the privacy-awareness of American College students, their attitude towards privacy, and how that level of awareness and their privacy attitudes factor into their smartwatch-related privacy-enhancing behavior. For this study, we focus on the IUB student community as a starting point. This study has far-reaching implications for the evaluation of smartwatch-related privacy issues, as it highlights the importance and significance of the role of the user. The user perspectives highlighted will also better serve the needs of the smartwatch design community.
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Smart watch technology creates a high privacy risk because individual user data is sent to a central cloud for storage and processing.
“However, this technology imposes a high risk to privacy because single user data is transferred to a central cloud for storage and processing [157].”
From Edge AI: A survey (2023) · cites this paper as [157]
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Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572 · see citing works
- Authors
- Udoh, E. S., & Alkharashi, A.
- Affiliations
- Indiana University Bloomington (US)
- Venue
- 2016 Future Technologies Conference (FTC)
- Publisher
- IEEE
- Published
- 2016-12
- Pages
- 926-931
- OpenAlex
- W2577756838
- Cited by
- 38
- References
- 0
- Citations by year
- 2025: 3 · 2024: 7 · 2023: 5 · 2022: 7 · 2021: 2 · 2020: 2 · 2019: 6 · 2018: 5 · 2017: 1
- FWCI
- 12.67
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Future Technologies Conference (publishedVersion)
- Funders
- Astellas Pharma US
- Indiana University Bloomington
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- smartwatches, privacy attitudes, Internet of Things, wearable devices, user behavior, university students
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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