Back to team page
Martin has nine years of experience conducting user research with portable and novel technologies across multiple settings, including homes, health, and public settings. He has completed projects on how to improve the experience of using voice-based technologies for people with low-language proficiency in and has recently been working on the integration and evaluation of new Machine Learning technologies in various parts of the UK health service. Martin holds a PhD from the University of Nottingham, where he remains a Visiting Researcher.
Bold facts
Learn more about
Read our team’s latest bold insights
Our research has shown a trend in healthcare provider feedback regarding mHealth alerts and features. While generally positive about the concept, liability is top of mind with this user group and common questions were raised during testing.
With the thousands of projects managed over the years, we feel like we’ve “seen it all.” While rare, in spite of the amount of preparation and planning, sometimes things don’t go as expected.
HFES healthcare symposium provides insight on FDA and regulatory perspectives, use of technology in research, interesting research methods employed, and cross-industry collaboration.
As designers, we assume users will behave the way we expect them to behave. Unfortunately for us, humans are unpredictable … attempts to model behavior typically predict less than 10% of actions. Consider the Theory of Planned Behavior, which suggests behaviors depend...