I am involved in teaching the following courses at Delft University of Technology:
Human-Computer Interaction (CSE Bachelor)
CSE3500 - Traditionally interaction with computer systems moved from text-based (e.g., terminals) to graphical user interfaces (GUI). As technology systems (e.g., expert systems, recommender systems) increase in complexity, a standard graphical user interface (GUI) is often not sufficient to harness their power. This course will consider developments in intelligent adaptive interfaces. This course will cover four aspects of HCI systems: a) Identifying functional and non-functional requirements. b) Design of interactive and adaptive systems. c) Prototyping of these systems. d) User-centered Evaluation of these systems.
Collaborative Artificial Intelligence (CSE Bachelor)
CSE3210 - Traditionally, Artificial Intelligence (AI) applications are realized as “centralized” solutions, where a single entity, e.g., an organization, collects massive amounts of data from end users to provide a suite of AI-powered services. The ethical concerns such centralized AI solutions pose (e.g., fairness, accountability, transparency, and privacy) are increasingly evident.
Design of Human-Centered AI Systems (CSE Master)
New course starting in 2025 -
Conversational Agents (CSE Master)
CS4270 - Conversational agents are computer programs that converse with a human in a natural way using communication channels such as speech, text, but also facial and full body gestures. Conversational agents can be embodied (ECA) such as robots or virtual agents, voice based such as Siri or text-based only such as chat-bots. In this course, students will look at the principles, concepts and theories underlying the different aspects of conversational agents. In addition, students will build their own conversational agent to demo at the end of the course.
Msc. Thesis supervision
If you are a master student and looking for a thesis project, take a look at the topics below or at my 'projects' page for the type of topics I'm interested in. Feel free to contact me if you're interested in any of these.
- Trust in AI systems, and how to make them trustworthy (including explainable AI)
- Human-AI Teamwork (in particular mutual understanding between humans and AI)
- Values in assistive technologies (e.g. coaching, behavior change support or mental health support)
Previous Master Theses I supervised:
- Sunwei Wang The impact of expressing emotion within explainable AI in human-agent teamwork (2024)
- Jan-Willem van Rhenen A comparative study of Theory of Mind mechanisms and tasks between human and AI (2023)
- Jing Zhou Exploring the effect of the information amount in explanation on different gaming expertise levels (2023)
- Nikki Bouman Exploring the Effect of Automation Failure on the Human’s Trustworthiness in Human-Agent Teamwork (2022)
- Ryan Kap The Influence of Adapting an Agent’s Explanation Style to a Human Team Leader Role on Human-Agent Teamwork during a Simulated Search and Rescue Task (2022)
- Robin Cromjongh A Conversational Agent for Stress First Aid: Mental Well-being Awareness for Police Officers (2022)
- Alan van Rossum: Exploring the effect of gestures on perceived integrity in human-agent interaction (2022)
- Huishun Zhang: Using explanations to improve subjective experience of control in situations of delayed control effects (2022)
- Chadha Degachi: Trust and Perceived Control in Burnout Support Chatbots (2022)
- Thomas Overklift - Intelligent Agents that Support Students with Self-Study (2019)
- Tinka Zorge (Leiden) - When Computers Should Say They Are Sorry (2019)
- Remy Kabel - Value-Based Smart Reminders (2019)