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.
Crosscutting aspects:
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.
Embedding
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
Vier toponderzoekers van EWI ontvangen prestigieuze NAE fellow-benoeming
Vier onderzoekers van de faculteit Elektrotechniek, Wiskunde en Informatica (EWI) zijn benoemd tot topexperts en aangesteld tot fellow door de Netherlands Academy of Engineering (NAE). In totaal zijn er 62 fellows aangesteld, afkomstig uit de technologische wetenschappen, toegepast onderzoek en innovatie. De fellows richten zich op het stimuleren van een innovatieklimaat dat maatschappelijke en economische waarde genereert door engineering-gebaseerde oplossingen te bieden voor grote maatschappelijke vraagstukken en die tegelijkertijd nieuwe bedrijvigheid en exportkansen bieden.
09 oktober 2023
Prof. Gene Tsudik (University of California, Irvine) gives a CS Distinguished talk
09 oktober 2023
Prof. Gene Tsudik (University of California, Irvine) gives a CS Distinguished talk
09 oktober 2023
Prof. Georgios Smaragdakis appointed ACM IMC Steering Committee Member
17 mei 2023
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).
31 januari 2023
Maria Tsfasman and Catharine Oertel publish paper and video
When working in a group, it is essential to understand each other’s viewpoints to increase group cohesion and meeting productivity. This can be challenging in teams: participants might be left misunderstood and the discussion could be going around in circles. To tackle this problem, previous research on group interactions has addressed topics such as dominance detection, group engagement, and group creativity.
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.