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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.
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To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.
If we are approaching a rapid technology shift as some experts predict, core UX design principles will have to be redefined to adapt to radically different interaction models.
Manufacturers building an ecosystem of devices and services should design for both a separate, personalized experience and household or shared experience.