Responsible Intelligent agents & Intelligent human/agent-agent interaction
Our mission is to understand and engineer collaboration between humans & agents. We develop theories, models and methods of interactive intelligence by combining methods from AI and the social sciences.
About the group
The Interactive Intelligence (II) section focusses on socially interactive, intelligent agents. We research the intelligence that underlies and co-evolves during the repeated interactions of human and technology “agents” who cooperate to achieve a joint goal. Our research program aims for synergy and social interaction between humans and technology, to empower humans in their social context. The new technological challenges we face arise from the need to integrate Artificial Intelligence, Cognitive Engineering, and behavioural sciences. In particular, the technological challenge is to develop socially aware agents that in interaction with humans co-adapt and co-learn over time. Social awareness implies context-awareness with the knowledge to interpret the physical situation in social terms and the knowledge to behave in a distinctive individual way that is personalized towards those the agent interacts with. In this manner, we endeavour to develop the interactive agent technology that empowers humans and groups of humans to deal with the societal and individual challenges such as the increasing need for sustained self-management for healthy ageing, safety and life-long education.
Behaviour modelling, Mental models/ToM, Responsible AI/EXAI, Intelligent agents, Multi-modal perception systems, Knowledge representation x ML, Socio-cognitive engineering, Humane/Hybrid AI, Long-term interaction, Situated awareness.
We are part of the Department of Intelligent Systems.
We are participating in:
30 januari 2023
Grote vragen: aflevering 4: hoe kunnen we zelflerende kunstmatige intelligentie in toom houden?
Hoe maken we optimaal gebruik van de mogelijkheden van zelflerende kunstmatige intelligentie zonder de controle te verliezen? Volgens hoogleraar kunstmatige intelligentie Catholijn Jonker kan dit alleen als mens en machine beter samenwerken.
20 december 2022
Computer gives people with depressive symptoms insight into their thinking patterns
Our thoughts greatly determine how we feel and behave. Thus, gaining insight into certain thought patterns is an important part of preventing and treating depression. TU Delft researcher Franziska Burger investigated how AI can support people with symptoms of depression.
14 december 2022
Kick-off of our Research Project on Human-AI Teamwork
We're excited to announce that our research project "We Are in This Together: When an AI Agent Becomes Your Teammate" had its Kick-off this week. Our project recently received the 2022 SIOP Visionary Grant.
14 december 2022
This is how AI explains it well
We are proud to see Dr. Jasper van der Waa publish this article for IT professionals. If you are interested in following up on this research, please reach out to either Jasper himself, Catholijn Jonker (TUD), Jurriaan van Diggelen (TNO), or Mark Neerincx (TUD / TNO).
12 december 2022
How do smokers want to quit with a virtual coach?
To better understand smokers' needs for quitting with a virtual coach (i.e., a chatbot), Nele Albers, Dr. ir. Willem-Paul Brinkman and Prof. dr. Mark Neerincx conducted a study in which 671 smokers interacted with a text-based virtual coach in up to five conversational sessions spread over at least nine days. In each session, the virtual coach assigned people a new preparatory activity for quitting smoking or becoming more physically active, such as noting and ranking reasons for quitting smoking.
05 december 2022
Self-Reflective Hybrid Intelligence: Combining Human with Artificial Intelligence and Logic
At the IC3K 2022 conference in Malta last October, Prof. dr. Catholijn Jonker gave a presentation about creating forms of human-AI intelligence.
05 december 2022
Why do we care about Stratego?
With stratego, artificial intelligence is now winning against the top players. What does that mean? Artificial intelligence now masters the board game stratego better than top human players. The battle between humans and computers was already settled on the chessboard, but the game of war is much more difficult for artificial intelligence to understand.
02 november 2022
Kun je een trauma verwerken met virtual reality?
Hoe kan een ervaring in Virtual Reality je echte leven veranderen? Kan VR bij mensen gedragsverandering of traumaverwerking tot stand brengen? Dr. ir. Willem-Paul Brinkman van de TU Delft legt het uit in dit college.
01 november 2022
Frans Oliehoek new Director ELLIS Delft Unit
After almost three years of guidance by Robert Babuska, Frans Oliehoek is taking over the lead of the ELLIS Delft Unit. He will be continued to be advised by Robert, as well as Jens Kober. We thank Robert for all his work and efforts.
04 oktober 2022
Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes. But is this reasonable? Researchers Niek Beckers, Luciano Cavalcante Siebert, Merijn Bruijnes, Catholijn Jonker & David Abbink from the AiTech initiative investigated the apparent mismatch between the public’s attribution of blame and finding from the human factors literature regarding human’s ability to remain vigilant in partially automated driving.