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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Larry Becker
Director
Larry has more than 20 years’ experience creating, analyzing, and optimizing online user experiences. During his career Larry has led e-commerce for a leading national retailer, introduced website optimization services at an Inc 500 advertising agency, and led digital marketing for a top-ranked global business school. Larry’s passion is helping organizations find the sweet spot where user needs and business needs intersect. He enjoys learning new frameworks, breaking new ground, and working collaboratively to organize chaos without stifling creativity. Larry holds a BA from the University of Virginia.
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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.