I am the founder of Inspiration Point Labs where I'm developing Viewpoints.ai. Using large language models, the software creates AI personas to simulate human participant interactions with video, images, and text in studies and generate datasets with automated statistical analyses.

My experience includes leading UX teams as the Director of UX Design and Research at Woven by Toyota, heading the centralized UX Research team at VMware, leading quantitative research at Waymo (Google Self-Driving Car Project), establishing UX research at Vine, designing human-robot interfaces at NASA, and running the largest ever quantitative study of Firefox users at Mozilla.

As a Stanford Ph.D. in Human Computer Interaction (Communication) and Forbes 30 under 30 Tech honoree, I've published in academic journals in marketing, UX, HCI, and communication, as well as popular press.

Leo Yeykelis

Research Portfolio

Waymo's self-driving Chrysler Pacifica Hybrid minivan

Self-Driving Cars at Waymo

My work on self-driving car pickups and dropoffs was granted a patent.

At Waymo (formerly the Google self-driving car project), I led quantitative UX research in understanding and designing for current and future ways that people and self-driving cars interact with each other. My design insights directly inform areas such as ride experience, passenger happiness, and novel human-robot communication.

Visualization of fragmented digital experience

Screenomics: Capturing Individual Digital Life

My research at Stanford University investigated the fragmentation of digital life by studying how and when people multitask with media, with implications for consumer behavior, marketing, online shopping, advertising, and social network use. As computers and smart phones become dominant sources of a greater range of content, an entire day - "screenome" - can be experienced on a screen, from social interactions to work to errands and entertainment.

Selected publications:

Virtual reality interaction

VR and Behavior Change

At Stanford's Virtual Human Interaction Lab (VHIL), my research investigated the effects of interaction with virtual avatars on subsequent real world behavior. The effects of interacting with one's future self in order to visualize the future were shown to greatly increase the probability of accepting later monetary awards over immediate ones.

Selected publications:

Affinity Diagramming

Vine, Mozilla, and NASA

At Vine (acquired by Twitter), I established the user research team to understand the psychology of six second looping videos and their impact on digital culture.

At Mozilla, my research on Firefox focused on exploring the relationship between psychological factors of user behavior and browser usage patterns, such as multitasking. It culminated in a behavioral segmentation study of browser users, resulting in a user typology of attitudes, beliefs, and cognitions.

And at NASA, I prototyped a mixed human-robot controlled interface to be used by astronauts in operating the carbon dioxide removal system (CDRS) on the International Space Station.

Featured Publications

Using Large Language Models to Create AI Personas for Replication and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings

Leo Yeykelis, Kaavya Pichai, James J. Cummings, Byron Reeves

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Multitasking on a single device: Arousal and the frequency, anticipation, and prediction of switching between media content on a computer

Leo Yeykelis, James J. Cummings, Byron Reeves

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Increasing saving behavior through age-progressed renderings of the future self

Hal E Hershfield, Daniel G Goldstein, William F Sharpe, Jesse Fox, Leo Yeykelis, Laura L Carstensen, Jeremy N Bailenson

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