Jacky Bourgeois

Using Participatory Data Analysis to Understand Social Constraints and Opportunities of Electricity Demand-Shifting

This paper reports results from an empirical study that explored the potential of interactive electricity Demand-Shifting – a particular form of behavior change where electricity consumption is shifted towards times of the day when production is at its highest – in the context of residential solar electricity generation. We conducted an in-the-wild user study with eighteen households over a period of six months, combining electricity data from smart meters and smart plugs with in-depth interviews to explore laundry routines and washing machine usage for each household. The study highlights that, although washing machines can be considered to be “shiftable appliances”, the specific ways in which each household goes about shifting varies considerably. Furthermore, there is a clear need for ICTs to support people by analyzing current context and future plans to automate electricity demand-shifting and synchronization of both laundry and other appliances. Such support will help them maximize the self-consumption of micro-generated electricity while balancing this with environmental concerns, financial benefits and day-to-day issues relating to convenience.

Trusted and GDPR-compliant research with the internet of things

The Internet of Things has become a key enabling technology for data-intensive research across universities and private organisations alike. However, the recent introduction of the General Data Protection Regulation (GDPR) in Europe has raised concerns that the GDPR might hamper data-intensive research. In this paper, we address the question of how to enable ethical and compliant research with personal IoT data in an academic environment. We identify three novel trust principles for GDPR compliant use of personal IoT data in science and research (private-by-default, analytics transparency and Accountable analytics) and propose an architecture for a trusted IoT research infrastructure.

The internet of things for the open sharing economy

In this paper we raise the question of how to enable groups of individuals to collaboratively design, implement and maintain IoT-enabled sharing economy services. We argue that there is a need for HCl research to engage with the whole lifecycle of sharing services, from inception and design to operation and use. In particular, we motivate the need for an open design approach for IoT-enabled sharing services that fosters intelligibility, accountably and control with respect to the mechanisms and algorithms that govern a sharing service.

Interactive demand shifting: in the context of emerging energy technologies

We are entering a key time period for home energy. While ubiquitous computing takes an increasing space in our daily life, emerging energy technologies including local generation and electric vehicle are leaving the stage of pioneers users to become more common. This research highlights the potential of new energy behavior supported by digital tools in the context of domestic solar electricity generation.