Lab Studies of Interaction with Autonomous Systems

This project is the core focus of my doctoral work. I am designing and running lab studies to shed light on the design of interfaces and interaction techniques for autonomous systems, and especially their possible adoption in everyday situations. The work is in part informed by cognitive psychology and behavioural economics.

In contrast to other projects exploring interaction with autonomous systems through field deployments, this work is a "return to the lab". Using experimental design that leverages performance-based rewarding of participants, we are looking for a good balance across ecological validity, controlled measurements and fast turnaround.

More information is available in a Ubicomp'16 paper. Other academic publications are currently in preparation.

IoT Simple

IoT Simple is a very basic framework for Internet of Things applications. It is built around an AVR 8-bit micro-controller (the same type used on Arduino), various pluggable radio modules (e.g. WiFi, or CISECO), and a Python-Django HTTP server. Rather than a generic multi-purpose board, a very simple design is adapted for specific projects, including specific individual components, in order to keep it simple, and minimize cost as well as power consumption.

The aim of the IoT Simple is not only to be a stepping stone for other projects, but also a learning process for the IoT. It is indeed for clarity and learning that we chose to start from very basic components (e.g. the 8-bit microcontroller), rather than more advanced platforms which tend to obfuscate the overall system operation.


The Future Everyday Interaction with the Autonomous Internet of Things (A-IoT) is a multidisciplinary, EPSRC funded research project that looks at the interaction space between humans and autonomous agents. Our focus lies on systems of interconnected devices that reach beyond most current incarnations of the IoT to include aspects of autonomy or automation as a key feature.