What second by second phone data reveals about human attention with Byron Reeves
June 23, 2026
Understanding human behavior requires embracing complexity. In this episode, Byron Reeves who is a pioneering Stanford researcher and has spent decades studying how humans interact with technology. They discuss why traditional research methods struggle to keep pace with fragmented digital lives. The conversation explores how AI simulations might help predict consumer behavior and what remains irreplaceable in a landscape driven by machines.
Byron Reeves joins Stephanie Vance and Molly Strawn-Carreño to discuss the infinite complexity of studying humans in a digital world. As a chaired professor at Stanford University, Byron has spent his career at the intersection of media psychology and technology. This episode examines findings from the Screenome Project. This research captures moment-by-moment digital behavior through thousands of screenshots. Byron explains that simply having more data does not always lead to better understanding. The discussion pivots to the rise of AI simulations and synthetic personas.
Byron shares his perspective on the difference between prediction and true explanation in scientific research. He argues that AI can replicate certain patterns. The human ability to ask the right questions remains the core value for any insights team. Leaders will learn to navigate the tension between automation and intuition. The episode offers a practical mindset for researchers who feel both excited and uncertain about the future of their industry.
What You’ll Learn:
- Why the digital transition over the last thirty years has made research harder to corral
- The reason traditional survey questions about screen time produce nearly useless data
- What the Screenome Project reveals about the rapid fragmentation of our daily attention
- How ancient survival instincts continue to drive our modern engagement with technology
- The specific types of research questions that AI simulations are best suited to answer
- Why prediction is often enough to drive business decisions without a full neurological explanation
- How business leaders can foster experimentation with AI without triggering job anxiety
- What it means to become a connoisseur of scientific beauty and excellence
About the Guest:
Byron Reeves is a Chaired Professor at Stanford University with appointments in Communication, Symbolic Systems, and the Graduate School of Education. He is a pioneer in media psychology and has spent decades studying human responses to media and technology. He authored landmark works like The Media Equation and Total Engagement. His research spans academia and industry, including work with Microsoft Research and global brands. Most recently, he has explored AI simulations and synthetic personas as tools for understanding human behavior.
Episode Resources:
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