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Kristen’s background resides within psychology and cognitive neuroscience. She has 7 years of experience working in consumer neuroscience research, where she applied a diverse set of neuroscience tools (EEG, eye tracking, facial coding, and biometrics) to clients’ complex business objectives. Her diverse experience and technical understanding of the human brain allows Kristen to assist clients by applying a unique lens to all research problems. Kristen has a BS in Psychology with an emphasis in Neuropsychology at University of Wisconsin, La Crosse.
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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.