2017/08/31 by Lesandro Ponciano, Pedro Barbosa, Francisco Brasileiro +2
Computer Science · Psychology · Social Sciences · #Artificial intelligence #Computer science #Computer security #Context (archaeology) #Data science #Enthusiasm #Epistemology #Focus (optics) #Heuristics #Inference #Internet of Things #Internet privacy #Mobile Crowdsensing and Crowdsourcing #Perception #Personally identifiable information #Pragmatism #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #Psychology #Social psychology #cs.HC
paper · pdf · doi:10.1145/3160504.3160545
published as In Proceedings of IHC 2017. ACM, US, Article 21, 10 pages (2017) · XVI Brazilian Symposium on Human Factors in Computing Systems (IHC'17), October 23-27, 2017, Joinville, SC, Brazil
openalex publication_date 2017/10/23 · arxiv created 2019/07/30 · arxiv updated 2019/07/31 · openalex created_date 2022/10/02 · openalex updated_date 2026/08/05
Internet of Things (IoT) systems have aroused enthusiasm and concerns. Enthusiasm comes from their utilities in people daily life, and concerns may be associated with privacy issues. By using two IoT systems as case-studies, we examine users' privacy beliefs, concerns and attitudes. We focus on four major dimensions: the collection of personal data, the inference of new information, the exchange of information to third parties, and the risk-utility trade-off posed by the features of the system. Altogether, 113 Brazilian individuals answered a survey about such dimensions. Although their perceptions seem to be dependent on the context, there are recurrent patterns. Our results suggest that IoT users can be classified into unconcerned, fundamentalists and pragmatists. Most of them exhibit a pragmatist profile and believe in privacy as a right guaranteed by law. One of the most privacy concerning aspect is the exchange of personal information to third parties. Individuals' perceived risk is negatively correlated with their perceived utility in the features of the system. We discuss practical implications of these results and suggest heuristics to cope with privacy concerns when designing IoT systems.