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Misalignments between Privacy Claims and Privacy Policies in Smart Sex Toys
Stockholm University.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-7020-6800
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-0594-3027
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-9100-3826
Number of Authors: 42026 (English)In: CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems / [ed] Nuria Oliver; David A. Shamma, Association for Computing Machinery , 2026, article id 1356Conference paper, Published paper (Refereed)
Abstract [en]

We present a content analysis of the privacy policy documentation and product descriptions from 146 smart sex toys across fourteen brands. We examine marketing narratives, policy accessibility, and disclosure completeness. We contribute an empirical illustration of a disregard for data privacy considerations in product descriptions and vague references to data privacy in privacy policy documentation. Among available privacy policy documentation, critical data storage and transmission details were frequently omitted or ambiguous, leading to misalignment with privacy claims in marketing materials. Our findings highlight inadequate transparency in the industry, paralleling issues in broader IoT systems and FemTech products and services. We underscore the need for HCI researchers, designers, and practitioners to address the structural inefficiency of policy compliance, the need to elevate privacy as an essential feature in products that collect and store sensitive and intimate data, and the stakes of privacy in the context of digital intimacy.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2026. article id 1356
Series
Conference on Human Factors in Computing Systems - Proceedings
Keywords [en]
intimate data, marketing, privacy, Smart sex toys
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:su:diva-256305DOI: 10.1145/3772318.3791454Scopus ID: 2-s2.0-105038699263ISBN: 979-8-4007-2278-3 (print)OAI: oai:DiVA.org:su-256305DiVA, id: diva2:2066719
Conference
CHI 2026: CHI Conference on Human Factors in Computing Systems, Barcelona, Spain, April 13 - 17, 2026
Available from: 2026-06-05 Created: 2026-06-05 Last updated: 2026-06-05Bibliographically approved

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Gómez Ortega, AlejandraRostami, AsreenLampinen, Airi

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