He has proven expertise in leading cross-functional teams, developing research methodologies, and executing multimodal UX strategies to enhance digital media experiences. Adept at stakeholder engagement, ambiguity management, and fostering inclusive design, he has been recognized by many organizations for advancing research in multiple fields — such as media accessibility, Generative AI, locative media, journalism, and augmented reality — while securing major federal and corporate grants, and mentoring next-generation UX professionals.
In his practice, Dr. Oppegaard typically uses inductive reasoning to deeply study the ways in which representative stakeholders act when engaged in specific activities in particular media ecosystems. His data collection strategies often get designed within specific physical environments and with particular support systems in place, allowing him to make full sense of the research objectives through the theoretical lens of Activity Theory. His findings and strategic recommendations regularly lead to impactful recommendations that improve the economics of a system, by creating new efficiencies, but also by amplify the effectiveness of users engaged in activities in those systems. He also loves to do public good, as recognized by multiple community awards noting his benevolence. Dozens of examples of his work are below.
As a former journalist and arts critic, with a love for Sherlock Holmes stories, Dr. Oppegaard appreciates the tiniest of details in a person’s narrative that can lead to profound deductions, deeper understandings, and competitive advantages. This thoughtful approach has given him a knack for finding the clues and universal strains of motivation and engagement that exist in a user, leading to innovative designs and research findings based on that analysis.
He uses — and has taught at the university level — mixed-methods approaches that blend qualitative and quantitative research methods via a reliable triangulation strategy that seeks to establish multiple sources of independent data to confirm any single research assertion. His favorite method is the one that works the best. That means he takes great care to make careful research plans that produce solid and clear recommendations, and when he gives one, you can count on it.