Electricity demand-side management (DSM) programs are becoming increasingly important
to energy system managers in advanced industrialized countries, especially those with high …

In this paper, we foreground some of the key research challenges that arise in the design of
trustworthy human-AI partnerships. In particular, we focus on the challenges in designing …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

Convolutional neural networks (CNNs) offer great machine learning performance over a
range of applications, but their operation is hard to interpret, even for experts. Various …

With the advancements in AI, agents (ie, smart products, robots, software agents) are
increasingly capable of working closely together with humans in a variety of ways while …

With the permeation of smart devices and connected intelligence in people's daily life,
human–computer interaction is no longer between users and single products, but exists …

This paper addresses the design dilemmas that arise when distributed ledger technologies
(DLT) are to be applied in the governance of artificial material commons. DLTs, such as …

Smart devices are increasingly being designed for, and adopted in, the home environment.
Prior scholarship has investigated the challenges that users face as they take up these …

We developed a framework to investigate the drivers for and barriers against adopting
integrated smart home technologies to encourage broader adoption of these technologies …

Increasingly, research projects narrate visions of energy communities that portray hopes of
more sustainable, democratic energy futures. However, it remains unarticulated how such …