You Know Too Much: Investigating Users’ Perceptions and Privacy Concerns Towards Thermal Imaging

Sahoo, Lipsarani; Miazi, Nazmus Sakib; Shehab, Mohamed; Alt, Florian; Abdelrahman, Yomna

doi:10.1007/978-3-031-09901-4_11

Cited by 2 publications

(1 citation statement)

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“…The thermal camera is one example where the human face is not identifiable, which can contribute to minimizing personal data. However, others argue that by collecting temperature data from the human body, it can reveal more information about a person if the identity is known [18]. Data privacy can also be enhanced by how the sensor's data is used.…”

Section: ) the Significance Of Technological Choices For Data Minimiz...mentioning

confidence: 99%

Machine Excellence Tradeoffs to Ethical and Legal Perspectives

Tørresen

Saplacan

Baselizadeh

et al. 2023

2023 IEEE Conference on Artificial Intelligence (CAI)

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We appreciate well-functioning technology being able to also personalize its services. However, to protect privacy and avoid a potential misuse of personal data, we are encouraged to limit the amount of personal data we share through apps and Internet services. While some services do not really need all the data they ask us to provide, others depend on it to provide the best possible performance of its service. That regards systems that apply data in machine learning for tasks like medical diagnostics. Especially deep learning algorithms perform better by using a large amount of data and are now able to benefit from the large amount as well with limited training time given access to high-performance computing resources. This paper address and discuss the tradeoffs like the one we have between data sharing minimalization for increased privacy and data maximization for machine learning systems. Perspectives related to ethics, legal, and social issues are considered in the paper. There is no single conclusion on the challenge, but attention to it can increase the awareness that the best balance differs depending on the application addressed.

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Section: ) the Significance Of Technological Choices For Data Minimiz...mentioning

confidence: 99%

Machine Excellence Tradeoffs to Ethical and Legal Perspectives

Tørresen

Saplacan

Baselizadeh

et al. 2023

2023 IEEE Conference on Artificial Intelligence (CAI)

View full text Add to dashboard Cite

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Thermal Imaging in Robotics as a Privacy-Enhancing or Privacy-Invasive Measure? Misconceptions of Privacy when Using Thermal Cameras in Robots

Lintvedt

2023

DISO

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This article examines the use of thermal imaging in human–robot interactions and its implications for privacy. Thermal imaging is used in robotics research to conceal the identity of individuals by masking identifiable information, such as facial details. The assumption is that by removing clear facial images, individuals become unidentifiable, thus protecting their privacy. However, the definition of personal data does not require information to be linked to a visual observation of a person. Removing the facial image of a person does not exclude the information from being personal data. However, thermal imaging can reveal personal information that is hidden from view. The article argues that privacy in robotics research is often limited to informational privacy and neglects other dimensions of privacy. It emphasises the need for a broader understanding of privacy in the context of robotics, considering the physical embodiment and data processing capabilities of robots. The conclusion of the article suggests that thermal imaging should not be automatically assumed to be more privacy-preserving than regular RGB cameras. It emphasises the importance of understanding personal data and the specific purposes of robot functions when choosing between different sensors. The article calls for a comprehensive approach to privacy in human–robot interaction, taking into account the broader impact of invasive technologies.

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You Know Too Much: Investigating Users’ Perceptions and Privacy Concerns Towards Thermal Imaging

Cited by 2 publications

References 39 publications

Machine Excellence Tradeoffs to Ethical and Legal Perspectives

Machine Excellence Tradeoffs to Ethical and Legal Perspectives

Thermal Imaging in Robotics as a Privacy-Enhancing or Privacy-Invasive Measure? Misconceptions of Privacy when Using Thermal Cameras in Robots

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