OnLITE: On-line Label for IoT Transparency Enhancement

Railean, Alexandr; Reinhardt, Delphine

doi:10.1007/978-3-030-70852-8_14

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…Examples of such work include research on online privacy labels (Kelley et al , 2009; Emami-Naeini et al , 2020), which has recently been adopted by Apple [1] and Google [2] in their app stores. Other examples of work on privacy labels include privacy nutrition label (Kelley et al , 2009), GDPR-based privacy label for IoT devices OnLITE (Railean and Reinhardt, 2020) and security and privacy label with device factors (Shen and Vervier, 2019). Another approach that has been investigated regarding transparency-related controls is the design of user notifications and nudges (Murmann and Karegar, 2021).…”

Section: Related Workmentioning

confidence: 99%

Enhancing the design of data-related privacy controls for smart home devices

Chhetri

Motti

2023

ICS

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Purpose Past research shows that users of smart home devices (SHDs) have privacy concerns. These concerns have been validated from technical research that shows SHDs introduce a lot of privacy risks. However, there is limited research in addressing these concerns and risks. This paper aims to bridge this gap by informing the design of data-related privacy controls for SHDs. Design/methodology/approach In this paper, the authors follow a user-centered design approach to design data-related privacy controls from design requirements backed by literature. The authors test the design for usability and perceived information control using psychometrically validated scales. For this purpose, two variations of the prototype (MyCam1 with a listing of data-related privacy controls and MyCam2 with three privacy presets) were created and tested them in a between-subjects experimental setting. Study participants (n = 207) were recruited via Mechanical Turk and asked to use the prototype app. An online survey was distributed to the participants to measure some usability and privacy-related constructs. Findings Findings show that the presented prototype designs were usable and met the privacy control needs of users. The prototype design with privacy presets (MyCam2) was found to be significantly more usable than the list of privacy controls (MyCam1). Originality The findings of this paper are original and build on the paper presented at the International Symposium on Human Aspects of Information Security and Assurance (HAISA 2022). This paper contributes improved and usable designs of privacy controls for smart home applications.

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Section: Related Workmentioning

confidence: 99%

Enhancing the design of data-related privacy controls for smart home devices

Chhetri

Motti

2023

ICS

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“…The FIPPs-based privacy policies used in many studies (e.g. Libaque-Sáenz et al ., 2021; Mutimukeye et al ., 2020) do not meet the requirements of GDPR, with the exception of Soumelidou and Tsohou (2019), who visualize Instagram's GDPR-compliant privacy policy and Railean and Reindhardt (2020), who visualize a GDPR-compliant privacy label for an Internet of Things (IOT) device. In contrast, this study employs two GDPR-compliant privacy policy labels representing a fictional E-commerce website.…”

Section: Introductionmentioning

confidence: 99%

Enhancing consumer perceptions of privacy and trust: a GDPR label perspective

Fox

Lynn

Rosati

2022

ITP

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PurposeThe General Data Protection Regulation (GDPR) introduces significant data protection obligations on all organizations within the European Union (EU) and those transacting with EU citizens. This paper presents the GDPR privacy label and uses two empirical studies to examine the effectiveness of this approach in influencing consumers' privacy perceptions and related behavioral intentions.Design/methodology/approachThe paper tests the efficacy of two GDPR privacy label designs, a consent-based label and a static label. Study 1 examines the effects of each label on perceptions of risk, control and privacy. Study 2 investigates the influence of consumers' privacy perceptions on perceived trustworthiness and willingness to interact with the organization.FindingsThe findings support the potential of GDPR privacy labels for positively influencing perceptions of risk, control, privacy and trustworthiness and enhancing consumers' willingness to transact and disclose data to online organizations.Practical implicationsThe findings are useful for organizations required to comply with the GDPR and present a solution to requirements for transparent communications and explicit consent.Originality/valueThis study examines and demonstrates the efficacy of visualized privacy policies in impacting consumer privacy perceptions and behavioral intentions.

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“…• An interactive digital extension of the printed label, which is also based on the GDPR, and is cross-contextual, user-validated, and accessible [61] (see Fig. 1.3 through Fig.…”

Section: Main Contributionsmentioning

confidence: 99%

“…-SUS scores obtained during the usability evaluation process, which can be used to compare our solution with alternatives developed by other research teams [61].…”

OnLITE: On-line Label for IoT Transparency Enhancement

Cited by 9 publications

References 22 publications

Enhancing the design of data-related privacy controls for smart home devices

Enhancing the design of data-related privacy controls for smart home devices

Enhancing consumer perceptions of privacy and trust: a GDPR label perspective

Improving IoT device transparency by means of privacy labels

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