Abstract Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions.
Diabetes technologies that use machine learning have significant potential to simplify this …

In this paper, we use fiction as a method to complicate the commonplace narratives of data
as intangible and objective, in the particular context of Internet of Things (IoT) in the home …

Despite various attempts to prevent food waste and motivate conscious food handling,
household members find it difficult to correctly assess the edibility of food. With the rise of …

Contemporary self-tracking devices take forms that reflect particular cultures of self-tracking
that emphasize clinical perspectives and numerical precision. In this pictorial, we explore …

This study, with 19 households, set out to analyse the expected benefits and anticipated
challenges to the introduction of smart home technology (SHT), and to compare these to …

Although the use of voice assistants to support older adults at home shows promise, little is
known about how the next generation of these devices, which also include displays, can …

The home is a site marked by the increasing collection and use of personal data, whether
online or from connected devices. This trend is accompanied by new data protection …

Fast‐moving consumer goods (FMCGs) are increasingly equipped with enhanced
packaging that incorporates novel functionalities. Providing FMCGs with this technology is …

Sensors and actuators are crucial components of a do-it-yourself (DIY) smart home system
that enables users to construct smart home features successfully. In addition, machine …

The incorporation of digital functionalities into consumer packaged goods (CPG) has the
potential to improve our lives by supporting us in our daily practises. However, despite the …