William Hampton, PhD
Behavioral Scientist • Head of UX Research
Will is currently Head of UX Research of the US Business Operations arm of TikTok.
Will earned a Bachelor’s in Psychology cum laude from the University of Pennsylvania. He then held industry roles in New York and Madrid, before returning to Philadelphia to complete an interdisciplinary PhD in Decision Neuroscience between the Psychology and Marketing departments at Temple University. While completing his PhD, he also developed a nightlife discovery iOS app, HotMaps, which was open beta-tested in Apple App Store. His research has appeared in public press media such as Forbes, Reader’s Digest, and Newsweek as well as in academic outlets such as Journal of Marketing Research, NeuroImage, and Journal of Business Research. He was then the co-director of TechX Lab and International Postdoctoral Fellow of the Institute of Behavioral Science and Technology before joining TikTok in 2022
Public Press
- “Will you be rich? This personality trait is one of the biggest predictors of how much you will earn” | Newsweek
- “Penn alumni design app to map your ideal nightlife” | Daily Pennsylvanian
- “This Personality Trait Can Predict How Much Money You’ll Make” | Reader’s Digest
- “Stop Spending Time on Things You Hate” | The Atlantic
- “What will be the best Super Bowl commercial? Science may have the answer” | Science Magazine
- “Covid-19 tracking: Knowing where you are without knowing who you are” | SwissInfo
- “Neuromarketing: Pseudoscience No More” | Forbes Magazine
- “Temple takes a scientific look at responses to Super Bowl commercials” | Philadelphia Inquirer
- “Your self control on instant benefits may determine future earning” | The Economic Times
Peer-Reviewed Publications
- Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., … & Winer, R. S. (2015). Predicting advertising success beyond traditional measures: New insights from neurophysiological methods and market response modeling. Journal of Marketing Research. *Top 5% of all research outputs according to Altmetric. [📈 stats / 📄 pdf]
- Hampton, W.H., Unger A., Von Der Heide R., Olson I (2016). Neural Connections Foster Social Connections: A Diffusion-Weighted Imaging Study of Social Networks. Social Cognitive and Affective Neuroscience. *Top 7% of research outputs of the same age according to Altmetric. [📈 stats / 📄 pdf]
- Hampton, W.H., Alm, K. H., Venkatraman, V., Nugiel, T., & Olson, I. R. (2017). Dissociable Frontostriatal White Matter Connectivity Underlies Reward and Motor Impulsivity. NeuroImage. *Top 10% in terms of research interest according to ResearchGate. [📈 stats / 📄 pdf]
- Ngo, C.T., Alm, K. H., Metoki, A., Hampton, W.H., Riggins, T., Newcombe, N.S., Olson, I.R (2018). White Matter Structural Connectivity and Episodic Memory in Early Childhood. Developmental Cognitive Neuroscience. *Top 10% in terms of research interest according to ResearchGate. [📈 stats / 📄 pdf]
- Hampton, W.H., Asadi, N., Olson I (2018). Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment. Frontiers in Psychology. *Top 5% of all research outputs according to Altmetric. [📈 stats / 📄 pdf]
- Hampton, W.H., Hanik I.M., Olson I.R (2019). Substance Abuse and White Matter: Findings, Limitations, and Future of Diffusion Tensor Imaging Research. Drug and Alcohol Dependence. *Top 10% in terms of citations according to PlumX metrics. [📈 stats / 📄 pdf]
- Hampton, W.H., Wilmer H., Olson, I.R., Olino, T.M., Chein, J.M. (2019). Wired to be connected? Links Between Mobile Technology Engagement, Intertemporal Preference, and Frontostriatal White Matter Connectivity. Social Cognitive and Affective Neuroscience. *Top 5% of all research outputs according to Altmetric. [📈 stats / 📄 pdf]
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Hampton, W.H., Venkatraman, V. (2020), “Effects of Age on Risky and Intertemporal Choices: Decision Strategies and Real-World Implications,” in The Aging Consumer: Perspectives from Psychology and Marketing, Routledge. [🔗 link]
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Hildebrand C., Efthymiou, F., Busquet, F., Hampton, W.H., Hoffman, D.L., Novak, P.T. (2020). Voice Analytics in Business Research: Conceptual Foundations, Acoustic Feature Extraction, and Applications. Journal of Business Research. *Top 5% research interest score according to ResearchGate. [📈 stats / 📄 pdf]
- Hampton, W.H., Venkatraman, V. Gray Area: How to Support Older People to Make Better Decisions (In Press). Management and Business Review. [📄 pdf]
- Efthymiou, F., Hildebrand, C., de Bellis, E., & Hampton, W. H. (2023). The Power of AI-Generated Voices: How Digital Vocal Tract Length Shapes Product Congruency and Ad Performance. Journal of Interactive Marketing, 10949968231194905. [📈 stats / 📄 pdf]
Media
Academic and Industry Collaborators
- Eric J. Johnson, Columbia Business School
- Jonathan B. Freeman, New York University
- Logitech
- COOP
- Bods
