Prospective Students

Emerging interaction contexts

I study interactive systems in contexts where interfaces affect what people perceive, understand, and do under novel technical and environmental constraints.

• Automated vehicles and future mobility: Interfaces that communicate capability, uncertainty, intent, and failure in automated cars, micromobility, and urban air mobility.
• Spatial interaction: Systems that augment, filter, or restructure perception in augmented reality, virtual reality, and dynamic physical environments.
• Robots, teleoperation, and shared human-machine environments: Interfaces for interacting with autonomous and semi-autonomous machines in ways that make their behaviour legible, controllable, and usable.
• Brain-computer interfaces, eye tracking, and novel embodiment paradigms: New forms of input, feedback, and embodiment that extend how users control and experience interactive systems.
• Serious games and gameful interactive systems: Interactive experiences that use play, immersion, and scenario-based design to study behaviour and support learning.
• Space and extreme-environment interaction: Interfaces for settings where conventional assumptions about perception and action no longer hold.

Human experience alignment

I investigate how interactive systems can align with human experience outcomes that determine whether emerging technologies are trusted, usable, safe, and acceptable in practice.

• User state calibration: Designs that help users form appropriate expectations of what a system can perceive, predict, and do.
• Situation awareness: Interfaces that support understanding and performance without overwhelming users.
• Agency, control, and contestability: Systems that keep users meaningfully involved when automation adapts, intervenes, or makes consequential decisions.
• Accessibility, inclusion, and diverse user needs: Designs that fit users with different abilities, backgrounds, and situational constraints.
• Sustainability and long-term societal impact: Interactive systems that support environmentally and socially responsible behaviour.

Computational design and simulation

I develop computational methods that make interactive systems designable, optimizable, and testable beyond what manual iteration can support.

• Human-in-the-loop optimization: Methods that use human feedback to search large design spaces and personalize interface parameters.
• Implicit and multimodal feedback loops: Systems that infer design-relevant signals from behaviour, physiology, interaction, and context.
• User simulation and synthetic users: Computational models that approximate human behaviour to pretest interface concepts.
• Simulation-based evaluation of interaction concepts: Virtual and computational environments for testing systems that are difficult, unsafe, or premature to study in the real world.

HCI foundations

• Stanford HCI Qual Exam Reading List: Google Doc
• Introduction to Human-Computer Interaction (by Kasper Hornbæk, Per Ola Kristensson, and Antti Oulasvirta): Oxford University Press (open access)
• The Encyclopedia of Human–Computer Interaction: Interaction Design Foundation
• The Design of Everyday Things (by Don Norman): Nielsen Norman Group
• Foundations and Trends® in Human–Computer Interaction series: Emerald Publishing

Research methods and evidence

• Research Contributions in Human-Computer Interaction (by Jacob O. Wobbrock and Julie A. Kientz): ACM DL
• Research Methods in Human-Computer Interaction (by Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser): Science Direct
• Modern Statistical Methods for HCI (edited by Judy Robertson and Maurits Kaptein): Springer Nature

Interaction and computational design

• Pick, Click, Flick!: The Story of Interaction Techniques (by Brad A. Myers): ACM DL
• Computational Interaction (edited by Antti Oulasvirta, Per Ola Kristensson, and Xiaojun Bi): Oxford University Press
• Bayesian Methods for Interaction and Design (edited by John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, and Nikola Banovic): Cambridge University Press
• 3D User Interfaces: Theory and Practice (by Joseph J. LaViola Jr., Ernst Kruijff, Ryan P. McMahan, Doug A. Bowman, and Ivan P. Poupyrev): Google Books