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Piya draws on her training in human computer interaction to understand how people respond to technology. She has lead over 100 small- and large-scale projects, including several multi-country projects. Piya has conducted formative and summative research on medical devices and software, mobile devices and accessories, websites, productivity, financial, and enterprise application tools. She also has extensive experience researching interactive voice response (IVR) systems in a variety of industries.
Piya is a member of the User Experience Professionals Association (UXPA), Human Factors and Ergonomics Society (HFES) and Association for the Advancement of Medical Instrumentation (AAMI). She has an MS in Human-Computer Interaction from De Paul, University, BS in Computer Science with a minor in Art from Northeastern Illinois 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.