Gave talk on human-centric AI system disclosures for transparent Human-AI interaction at the Human-Centered AI Seminar at CSIRO's Data61 in Sept 2025; CSCW 2025 full paper accepted on aligning LLMs with expert input for psychotherapy in Aug 2025; CHIWORK 2025 demo on Dark Haptics in XR advertising won the Best Demo Award in Jun 2025; On a two-months JSPS Research Fellowship grant to visit the Cybernetics and Reality Engineering (CARE) lab at NAIST, working with Monica Perusquía-Hernández and Kiyoshi Kiyokawa in Mar 2025; ERCIM Report: Towards a Shared AI Strategy for European Digital Science Institutes and Organisations published in Jan 2025, presented work on AI system disclosures and GenAI risks.
Research Experience
Leads research on Affective Interactive Systems and Trustworthy Human-AI Interaction at CWI DIS; Leads Human-AI Interaction research focusing on AI transparency in media at the AI, Media, and Democracy Lab; Former postdoctoral researcher at the HCI Oldenburg lab, part of the Media Informatics and Multimedia Systems group at the University of Oldenburg / OFFIS (Germany).
Education
PhD in Computer Science from the University of Amsterdam (Netherlands), working at the (former) Information and Language Processing Systems (ILPS) group. Postdoc at the HCI Oldenburg lab, part of the Media Informatics and Multimedia Systems group at the University of Oldenburg / OFFIS (Germany).
Background
A Human-Computer Interaction (HCI) researcher with a background in Cognitive Science. Currently, he is a (tenured) research scientist at Centrum Wiskunde & Informatica (CWI) within the Distributed & Interactive Systems (DIS) group and an Assistant Professor (part-time) at Utrecht University within the Multimedia group. At CWI DIS, he leads the research areas on Affective Interactive Systems and Trustworthy Human-AI Interaction. He is also affiliated with the AI, Media, and Democracy Lab, where he leads Human-AI Interaction research focusing on AI transparency in media. He is currently Chair of CHI Nederland (CHI NL), the local Dutch SIGCHI chapter.
Miscellany
Envisions and develops systems that augment our physical / virtual bodies and sensory perception across human-machine and human-human interactions, with a focus on affective haptics and interaction techniques that leverage physiological signals. Also focuses on developing more trustworthy and transparent AI systems, with a particular emphasis on AI system disclosures.