Master's Level

1. Human-AI collaboration (e.g. how humans form trust, delegate tasks, update beliefs, and share decision-making with AI, how should humans and AI work together responsibly?)
2. Responsible, ethical, and governed AI (e.g. the societal consequences of AI, algorithmic fairness in workplaces, urban AI, user understanding of AI decision-making, privacy implications, risks)
3. Accessibility and inclusion through AI
4. Mixed reality and spatial computing (e.g. spatial interaction agents, accessibility within virtual worlds)
5. Embodied, multisensory, and affective interaction (e.g. interest in technologies that engage the body, senses, and emotions)
6. Care, wellbeing, and human relationships (e.g. AI companions and caregiving technologies, mental and emotional wellbeing, self-reflection and behavior change)
7. Participatory, inclusive, and community-centered design (e.g. designing with people rather than for people, marginalized or underserved groups, children as design partners)
8. Data, visualization, and sensemaking (e.g. Human-AI analytics, visualization-supported reasoning, data storytelling, collaborative sensemaking)
9. User experience research in the work context
10. Digital twins in urban planning

Bachelor's Level

1. Human-AI collaboration
2. Responsible, ethical, and governed AI
3. Mixed reality and spatial computing
4. Participatory, inclusive, and community-centered design
5. User experience research in the work context
6. Digital twins in urban planning