The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
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Janelle Sherman
Senior UX Researcher
Janelle has over 10 years of experience in research and pulls from her background in belonging and inclusion to improve accessibility for users. Janelle utilizes both quantitative and qualitative research methods to help inform her research conclusions. She is passionate about diversity, equity, and inclusion, and employee experience research. She has a doctorate degree in Psychology from Indiana University, and a Bachelors of Arts in Psychology and English from the University of New England.
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Read our team’s latest bold insights
Three things to improve acceptance of AI
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.
Recruiting methods and study logistics for human factors and user research
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.
Singularity and the potential impact on UX design principles
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.