Information Systems · Design Science · Human–AI Interaction
I study how we can design AI and digital technologies that support people, and how we can turn what we learn into knowledge for future designs.
Explore my research01 / Research
My research combines the design of digital artifacts with the empirical study of their use and consequences, developing design knowledge that can inform future systems.
I design and study conversational agents and AI companions, examining how their design shapes trust, psychological ownership, collaboration, and people’s agency.
Explore this theme 02I develop approaches for creating, theorizing, and accumulating design knowledge, from design principles and design features to abductive design theorizing.
Explore this theme 03I investigate how AI-based systems are designed, integrated, and used in organizational settings, including financial services and hybrid intelligent service ecosystems.
Explore this theme 04I explore digital design in learning, civic participation, sustainability, and Indigenous language revitalization, with attention to the contexts and communities these technologies enter.
Explore this theme02 / Selected publications
How do people come to experience an AI companion as “mine”?
A design theory for AI systems that accompany people over time.
Designing convincing interactions with virtual in-vehicle assistants.
Designing virtual companions that support learning through relationship, adaptation, and interaction.
03 / In focus
Design principles are one of the central ways design science turns what it learns into guidance for future designs. Yet developing them is difficult: principles can become too abstract to guide design or too closely tied to a particular artifact to travel beyond it. With Robert Winter, I conceptualize their development as navigation through a design knowledge space, connecting modes of reasoning, levels of abstraction, and five moves for developing stronger design principles.
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