A-IoT is an EPSRC funded 3-year project investigating interaction mechanisms for an autonomous Internet of Things (IoT). An Autonomous IoT actively manages data and decisions on behalf of users, drawing upon machine learning techniques and optimization algorithms. However, it is critical to still allow users to make informed choices about their general needs and comfort. Nascent instantiations of the A-IoT range from smart thermostats that learn to autonomously control central heating systems based on the presence of users and their routine, to washing machines that order detergent for delivery when it runs out. But how should interactions with autonomous systems be engineered to support users' daily activities? To what extent may users be willing to delegate agency to A-IoT systems in everyday contexts? These are some of the key questions our project aims to address.
The overall objective is to establish the scientific underpinnings of user interactions with Autonomous IoT (A-IoT) systems, in a domestic everyday context, with the aim of explicating the following research questions: to what extent may users be willing to delegate agency to A-IoT systems; how should interactions with A-IoT systems be engineered to support rather than hinder users' daily activities; how should intelligent agents be designed to manage such A-IoT systems?
In particular, the project objectives are to:
Read more on theA-IoT website
A-IoT is supported a grant from the Engineering and Physical Sciences Research Council.
UCLICUniversity College London
Mixed Reality LaboratoryUniversity of Nottingham
Agents, Interaction, and Complexity GroupUniversity of Southampton
For more information, please contact Joel E. Fischer.
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School of Computer Science
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