Users' Concern for Privacy in Context-Aware Reasoning Systems

• URL: http://arxiv.org/abs/2007.01561v1
• Date: Fri, 3 Jul 2020 09:13:57 GMT
• Title: Users' Concern for Privacy in Context-Aware Reasoning Systems
• Authors: Matthias Forstmann, Alberto Giaretta, and Jennifer Renoux
• Abstract summary: People are more concerned about third parties accessing data gathered by environmental sensors as compared to physiological sensors. Participants indicated greater concern about unfamiliar third parties as opposed to familiar third parties. These concerns are predicted and (to a lesser degree) causally affected by people's beliefs about how much can be inferred from these types of data.
• Score: 0.17205106391379021
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Context-aware reasoning systems allow drawing sophisticated inferences about users' behaviour and physiological condition, by aggregating data from seemingly unrelated sources. We conducted a general population online survey to evaluate users' concern about the privacy of data gathered by these systems. We found that people are more concerned about third parties accessing data gathered by environmental sensors as compared to physiological sensors. Participants also indicated greater concern about unfamiliar third parties (e.g., private companies) as opposed to familiar third parties (e.g., relatives). We further found that these concerns are predicted and (to a lesser degree) causally affected by people's beliefs about how much can be inferred from these types of data, as well as by their background in computer science.

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