From our research into how different users process information—analytics vs. wholists, verbalizers vs. imagers—we know that one size never fits all.
We develop precise mathematical models to quantify user preferences and behaviors, turning subjective experiences into measurable outcomes.
Technical solutions must serve human needs. Our research always begins with understanding the human context in which technology will operate.
Research in Practice
Traditional real estate search interfaces force users to sift through hundreds of listings with no way to effectively process the overwhelming amount of information.
Through analysis of user cognitive styles, historical search patterns, and behavioral studies, we developed a new approach to information presentation.
We created sophisticated ranking algorithms using Gaussian functions and cubic approximations to model user preferences across multiple heterogeneous data points.
Every investigation follows a careful methodology designed to reveal insights that quick solutions miss.
We begin by understanding what's known. From academic papers to industry studies, we build on existing knowledge rather than reinventing what's already understood.
Complex problems require precise thinking. We develop mathematical models to understand relationships and predict outcomes.
Understanding how different users think and process information guides our design decisions and technical approaches.
Theory meets reality through careful testing and validation, ensuring our solutions work not just in theory, but in practice.
Active Research
Building on our work in search interfaces, we're investigating how interfaces can automatically adapt to different cognitive styles.
Research into how artificial intelligence can enhance rather than replace human judgment, focusing on maintaining authenticity while improving capability.
Expanding our preference modeling work to create more sophisticated mathematical representations of user desires and behaviors.
The impact of thorough research extends far beyond academic interest.
Understanding problems deeply leads to solutions that work better and last longer than quick fixes.
Thorough research early prevents costly rework and failed implementations later.
When we truly understand how people think and work, we create solutions that genuinely improve their lives.