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Scott’s background is in qualitative research and human behavior. He has been working in research for eight years, with a particular interest in human factors research. He has conducted research in a variety of industries, including health care, automotive, and financial services, with experience in focus groups, in-lab usability testing, summative medical testing, and in-car research. Scott has an MA in global politics from Illinois State University.
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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.