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:
17 November 2023
Enrico Liscio presented on the impact of AI on Architecture to the BNA
On November 2nd Enrico Liscsio gave a presentation on the impact of AI on Architecture to the BNA
09 November 2023
Four leading EEMCS researchers receive prestigious NAE fellow appointment
Four researchers from the Faculty of Electrical Engineering, Mathematics and Computer Science (EWI) have been named leading experts and are appointed as fellows by the Netherlands Academy of Engineering (NAE). A total of 62 fellows have been appointed, originating from the fields of technological sciences, applied research and innovation. The fellows focus on fostering an innovation climate that generates societal and economic value by providing engineering-based solutions to major societal issues while offering new business and export opportunities.
09 October 2023
Prof. Gene Tsudik (University of California, Irvine) gives a CS Distinguished talk
09 October 2023
Prof. Georgios Smaragdakis appointed ACM IMC Steering Committee Member
17 May 2023
Luciano Calvante Siebert recently joined the podcast "AI voor Moraalridders"
Luciano Calvante Siebert recently joined the “AI voor Moraalridders” podcast to talk about our paper on meaningful human control! It was fun, and I think the conversation went well (and hopefully, I was able to represent our shared view J).
30 January 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.