Building accountability into the Internet of Things: the IoT Databox model

Crabtree, Andy; Lodge, Tom; Colley, James; Greenhalgh, Chris; Glover, Kevin; Haddadi, Hamed; Amar, Yousef; Mortier, Richard; Li, Qi; Moore, J.; Wang, Liang; Yadav, Poonam; Zhao, Jianxin; Brown, Anthony; Urquhart, Lachlan; McAuley, Derek

doi:10.1007/s40860-018-0054-5

Cited by 67 publications

(67 citation statements)

References 13 publications

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“…In radically minimising data distribution the Databox provides a means of addressing many of the adoption challenges confronting adaptive, physically immersive, data-driven experiences: apps cannot be installed in the box without a 'manifest', which describe to the user what an app does, the data it processes and for what purposes, and apps of course have their own interfaces that can enable inspection of data processing and end-user customisation and control (see Crabtree et al 2018 for further detail). The Databox puts the end-user or media consumer in the driving seat, preserving their autonomy and providing concrete assurance that their privacy is not under threat and that data cannot be used for dystopian purposes, as it remains on-the-box.…”

Section: Responding To the Adoption Challengesmentioning

confidence: 99%

The Living Room of the Future

Sailaja

Crabtree

Colley

et al. 2019

Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video

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Emergent media services are turning towards the use of audience data to deliver more personalised and immersive experiences. We present the Living Room of The Future (LRoTF), an embodied design fiction built to both showcase future adaptive physically immersive media experiences exploiting the Internet of Things (IoT) and to probe the adoption challenges confronting their uptake in everyday life. Our results show that audiences have a predominantly positive response to the LRoTF but nevertheless entertain significant reservations about adopting adaptive physically immersive media experiences that exploit their personal data. We examine 'user' reasoning to elaborate a spectrum of adoption challenges that confront the uptake of adaptive physically immersive media experiences in everyday life. These challenges include data legibility, privacy concerns and potential dystopias, concerns over agency and control, the social need for customisation, value trade-off and lack of trust.

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Section: Responding To the Adoption Challengesmentioning

confidence: 99%

The Living Room of the Future

Sailaja

Crabtree

Colley

et al. 2019

Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video

Self Cite

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“…They provide an example of file copying, replacing a general progress bar that glosses computational behaviour with data buckets and the articulation of flow strategies to elaborate the point. A number of studies [e.g., 30,48,49] have subsequently established that revealing more of what goes on under the hood of technological systems is often needed to avoid a range of problems, including trust-related issues, that could otherwise negatively impact the user's overall experience. However, when confronted with hypothetical systems operating more or less autonomously, our participants' expectations about computational accountability operate at a different level.…”

Section: Computational Accountabilitymentioning

confidence: 99%

Breaching the future: understanding human challenges of autonomous systems for the home

Nilsson

Crabtree

Fischer

et al. 2019

Pers Ubiquit Comput

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The domestic environment is a key area for the design and deployment of autonomous systems. Yet research indicates their adoption is already being hampered by a variety of critical issues including trust, privacy and security. This paper explores how potential users relate to the concept of autonomous systems in the home and elaborates further points of friction. It makes two contributions. One methodological, focusing on the use of provocative utopian and dystopian scenarios of future autonomous systems in the home. These are used to drive an innovative workshopbased approach to breaching experiments, which surfaces the usually tacit and unspoken background expectancies implicated in the organisation of everyday life that have a powerful impact on the acceptability of future and emerging technologies. The other contribution is substantive, produced through participants efforts to repair the incongruity or 'reality disjuncture' created by utopian and dystopian visions, and highlights the need to build social as well as computational accountability into autonomous systems, and to enable coordination and control.

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“…Here participant agency could take on a multitude of different processes that shift power from the researcher and manufacturer to the participants, primarily in understanding the data streams they generate and in being able to control them (Kennedy, Poell and Dijck 2015). One way explored by the HCI community is to store raw data locally and to give users the ability to only share reflections or the results of algorithmic processing (Crabtree et al 2018;Skatova et al 2015). For the purposes of our method, only sharing reflections as initiated by the participant diminishes co-creativity and the ability of the researcher to identify moments of interest and engage in conversation alongside those moments.…”

Section: Data Gathering and Participant Experiencesmentioning

confidence: 99%

Supporting Real‐Time Contextual Inquiry through Sensor Data

Gorkovenko

Burnett

Murray-Rust

et al. 2019

Ethnographic Praxis

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A key challenge in carrying out product design research is obtaining rich contextual information about use in the wild. We present a method that algorithmically mediates between participants, researchers, and objects in order to enable real-time collaborative sensemaking. It facilitates contextual inquiry, revealing behaviours and motivations that frame product use in the wild. In particular, we are interested in developing a practice of use driven design, where products become research tools that generate design insights grounded in user experiences. The value of this method was explored through the deployment of a collection of Bluetooth speakers that capture and stream live data to remote but co-present researchers about their movement and operation. Researchers monitored a visualisation of the real-time data to build up a picture of how the speakers were being used, responding to moments of activity within the data, initiating text conversations and prompting participants to capture photos and video. Based on the findings of this explorative study, we discuss the value of this method, how it compares to contemporary research practices, and the potential of machine learning to scale it up for use within industrial contexts. As greater agency is given to both objects and algorithms, we explore ways to empower ethnographers and participants to actively collaborate within remote real-time research.

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Building accountability into the Internet of Things: the IoT Databox model

Cited by 67 publications

References 13 publications

The Living Room of the Future

The Living Room of the Future

Breaching the future: understanding human challenges of autonomous systems for the home

Supporting Real‐Time Contextual Inquiry through Sensor Data

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