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Elizabeth has a background in academic research and training in developmental psychology, social psychology, and cognitive psychology. She has over 10 years of research experience and loves to analyze data. Elizabeth is passionate about accessibility and inclusive design. She has a bachelor’s degree in psychology and mathematics from Ripon College and a PhD in Psychology from the University of Washington.
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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.