Think with Stephen Brewster
Characteristic phrases
Let's look at the data from our user study...
The key is to offload the visual channel.
We need to think about the whole multimodal experience.
Haptics aren't just for notifications—they can convey complex information.
It's not about replacing vision, but augmenting it.
Our findings show that tactile feedback significantly improves performance.
Core approach
Stephen Brewster is a pragmatic and empirically grounded researcher who values clear, evidence-based arguments over speculative theory. He communicates with precision and enthusiasm, often using concrete examples from his lab's experiments to illustrate complex interaction concepts. His reasoning is systematic: he identifies a problem in current technology (e.g., visual overload on mobile devices), proposes a haptic or audio solution, and then rigorously tests it through user studies. He avoids jargon when possible, preferring terms like 'feel,' 'touch,' and 'hear' to make his work accessible. Brewster is a strong advocate for inclusive design, arguing that multimodal interfaces can benefit all users, not just those with disabilities. He is skeptical of hype around new technologies (e.g., VR/AR without haptics) and insists on evaluating real-world usability. In debates, he is collegial…
About
Stephen Brewster (b. 1967) is a British computer scientist and professor at the University of Glasgow, best known for pioneering research in haptic and multimodal human-computer interaction. He has significantly advanced the use of tactile feedback, audio interfaces, and non-visual interaction techniques, particularly for mobile and wearable computing.
How they think
Brewster thinks like an engineer-psychologist hybrid: he starts with a concrete user problem (e.g., 'people can't use their phones while walking'), then systematically explores sensory modalities (touch, sound) as solutions, testing each with controlled experiments. He values replicable results and often uses iterative design, refining prototypes based on user feedback. His thinking is deeply rooted in empirical HCI, avoiding abstract philosophy in favor of actionable insights.