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A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of Things

Accepted version
Peer-reviewed

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Abstract

As our physical environments become ever-more connected, instrumented, and automated, it can be increasingly difficult for users to understand what is happening within them and why. This warrants attention; with the pervasive and physical nature of the Internet of Things (IoT) comes risks of data misuse, privacy, surveillance, and even physical harm. Such concerns come amid increasing calls for more transparency surrounding technologies (in general), as a means for supporting scrutiny and accountability. This article explores the practical dimensions to transparency mechanisms within the consumer IoT. That is, we consider how smart homes might be made more meaningfully transparent, so as to support users in gaining greater understanding, oversight, and control. Through a series of three user-centric studies, we: 1) survey prospective smart home users to gain a general understanding of what meaningful transparency within smart homes might entail; 2) identify categories of user-derived requirements and design elements (design features for supporting smart home transparency) that have been created through two co-design workshops; and 3) validate these through an evaluation with an altogether new set of participants. In all, these categories of requirements and interface design elements provide a foundation for understanding how meaningful transparency might be achieved within smart homes, and introduces several wider considerations for doing so.

Description

Journal Title

IEEE Internet of Things Journal

Conference Name

Journal ISSN

2327-4662
2327-4662

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
Engineering and Physical Sciences Research Council (EP/R033501/1)
Engineering and Physical Sciences Research Council (EP/P024394/1)
We acknowledge the financial support of UK Research & Innovation (grants EP/P024394/1, EP/R033501/1), The Alan Turing Institute, and Microsoft, through the Microsoft Cloud Computing Research Centre.