| DOI | Resolve DOI: https://doi.org/10.1007/978-3-031-35822-7_40 |
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| Author | Search for: Danso, Priscilla Kyei; Search for: Molyneaux, Heather1; Search for: Zohourian, Alireza; Search for: Neto, Euclides Carlos Pinto; Search for: Whalen, Derrick; Search for: Dadkhah, Sajjad; Search for: Ghorbani, Ali A. |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Book Chapter |
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| Conference | HCII 2023, July 23-28, 2023, Copenhagen, Denmark |
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| Subject | Human-Computer Interaction; machine learning; Internet of Things; security |
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| Abstract | Big data, Artificial Intelligence (AI), and Machine Learning (ML) have recently been posited as both a challenge and an opportunity for Human-Computer Interaction (HCI) research. Researchers and practitioners have also expressed concern about these systems’ potential for favouritism, lack of transparency, and impartiality. We focus on the real-world utilization of various IoT devices and systems, communications technologies, and privacy and security considerations specific to the industry. We found that while the survey responses did validate some of our initial assumptions about privacy and security needs at Canadian ports, responses to the survey questions on IoT device and system usage and privacy and security needs were diverse, indicating an initial requirement for flexibility in UX design. |
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| Publication date | 2023-07-09 |
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| Publisher | Springer Nature |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3cc1fbac-d631-486c-9ded-d8a67835ca29 |
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| Record created | 2023-07-17 |
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| Record modified | 2023-07-19 |
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