Biblio

Aim and scope of the study From 2017 to 2020, we conducted a research through design to address a number of identified obstacles to adoption of wearable computing. One obstacle was a perceived failure to design wearables for emotional engagement [1] [2] [3]. To address this, we began the inspiration phase with a participatory design process with an open-ended brief, instead of the typical approach of starting with a design exemplar. In this way, we elicited concepts from the participants to discover what kinds of everyday wearables they desired [4], rather than their preferences for some particular device type like an activity monitor [5]. The obstacles interrelate, and the outcome of our investigations against the obstacle of poor emotional engagement, give cause to reflect on another of the obstacles: privacy. This paper will reflect on the privacy issues evoked by our experience.

This paper outlines the IoT Databox model as a means of making the Internet of Things (IoT) accountable to individuals. Accountability is a key to building consumer trust and mandated in data protection legislation. We briefly outline the `external' data subject accountability requirement specified in actual legislation in Europe and proposed legislation in the US, and how meeting requirement this turns on surfacing the invisible actions and interactions of connected devices and the social arrangements in which they are embedded. The IoT Databox model is proposed as an in principle means of enabling accountability and providing individuals with the mechanisms needed to build trust in the IoT.