- Joulo – a home heating advice system that uses a low-cost temperature logger and online algorithms to provide feedback to households on how they are using their current heating system, along with autonomous intelligent home heating agents that can learn the householders’ comfort preferences in order to provide efficient comfortable heat control.
- AtomicORCHID – a mobile mixed-reality game in which first responders work together with a response headquarters to rescue as many casualties as possible. This game has allowed researchers to study team coordination and understand how human responders can be supported by computational agents that assist the planning and execution of the rescue mission, including the coordination of multi-UAV deployments.
- Japan Nuclear Crowd Map platform – Following the Fukushima nuclear disaster in 2011, citizen scientists deployed sensors and uploaded data to help track the spread of airborne radioactive particles. To identify accurate information from some many sources, the platform combines reports from thousands of sensors and uses machine learning algorithms to correct for biases and noise and weed out those sensors that are defective.
The five-year ORCHID project has looked at how we work with computers: instead of issuing instructions to passive machines, we will increasingly work in partnership with agents, highly interconnected computational components that are able to act autonomously and intelligently, forming human-agent collectives (HACs) that can work symbiotically with people.