Publications
Journal Articles and Book Chapters
Peters, H., Matz, S., Cerf, M. (2023, forthcoming). Sensory substitution can improve decision making. Computers in Human Behavior.
Baten, R. A., Liu, Y., Peters, H., Barbieri, F., Shah, N., Neves, L., Bos M. W. (2023, forthcoming). Predicting future location categories of users in a large social platform. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM)
Matz, S. C., Bukow, C., Peters, H., Deacons, C., & Stachl, C. (2023, forthcoming). Throwing the cap or throwing in the towel? Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics. Scientific Reports.
Peters, H., Götz, F. M., Ebert, T., Müller, S. R., Rentfrow, P. J., Gosling, S. D., Obschonka, M., Ames, D., Potter, J., & Matz, S. C. (2022). Regional personality differences predict variation in early COVID-19 infections and mobility patterns indicative of social distancing. Journal of Personality and Social Psychology.
Peters, H., Marrero, Z., & Gosling, S. D. (2022). The Big Data toolkit for psychologists: Data sources and methodologies. In The psychology of technology: Social science research in the age of Big Data (pp. 87–124). American Psychological Association.
Peters, H., Kyngdon, A., & Stillwell, D. (2021). Construction and validation of a game-based intelligence assessment in Minecraft. Computers in Human Behavior, 119, 106701.
Müller, S. R., Chen, X., Peters, H., Chaintreau, A., & Matz, S. C. (2021). Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples. Scientific Reports, 11(1), 14007.
Müller, S. R., Peters, H., Matz, S. C., Wang, W., & Harari, G. M. (2020). Investigating the Relationships between Mobility Behaviours and Indicators of Subjective Well–Being Using Smartphone–Based Experience Sampling and GPS Tracking. European Journal of Personality, 34(5), 714–732. (shared first authorship)
Peters, H., Liu, Y., Babieri, F., Baten, R., Matz, S., & Bos, M. W. (under review). User Engagement In Context—Predicting Patterns of Active and Passive Use on Snapchat.
Peters, H., Dotsch, R., Liu, Y., Matz, S. C., & Bos, M. W. (in prep.). Understanding Message-Response Behaviors in Instant Messaging: A Predictive-Explanatory Approach.
Peters, H., Stein, D., Bae, S. J., Huang, K. W., & Matz, S. C. (in prep.). Organizational Fit Predicts Employee Retention: A Large-Scale Analysis of LinkedIn Profiles Using Text Analysis.
Select Talks and Conference Publications
Peters, H., Liu, Y., Barbieri, F., Baten, R., Matz, S.C., S., Bos, M. (2023). User Engagement in Context - Predicting Patterns of Active and Passive Use on Snapchat. SPSP Annual Convention, Symposium: Contextualizing Psychological States and Digital Media Behaviors in Everyday Life. Atlanta, GA.
Peters, H., Dotsch, R., Liu, Y., Matz, S. C., & Bos, M. W. (2022). Understanding the Determinants of Message-Response Behaviors in Instant Messaging. New Directions in the Psychology of Technology, Philadelphia, PA, USA.
Peters, H., Götz, F., Ebert, T., Müller, S., Rentfrow, J., Gosling, S., Obschonka, M., Ames, D., Potter, J., & Matz, S. (2021). Regional personality differences predict variation in COVID-19 infections and social distancing behavior. Academy of Management.
Peters, H., Götz, F., Ebert, T., Müller, S., Rentfrow, J., Gosling, S., Obschonka, M., Potter, J., & Matz, S. (2021). Regional Personality Differences Predict Variation in COVID-19 Infections, Deaths and Social Distancing Behavior. SPSP Annual Convention, Symposium on New Frontiers in Geographical Psychology.
Peters, H., Götz, F., Ebert, T., Müller, S., Rentfrow, J., Gosling, S., Obschonka, M., Potter, J., & Matz, S. (2021). Regional Personality Differences Predict the Early Spread of COVID-19. SPSP Preconference Media and Technology.
Peters, H., Mueller, S., Matz, S., Wang, W., Harari, G. (2020). Investigating the Relationships Between Mobility Behaviors and Subjective Well-Being Among Young Adults. SPSP Annual Convention, New Orleans, LA, USA.
Peters, H., Kyngdon, A., Stillwell, D. (2019) Psychometric Testing in Minecraft / Project Malmo: Using an AI Experimentation Platform for Human Intelligence Assessment. SPSP Preconference Psychology of Media and Technology, Portland, OR, USA.
Peters, H., Kyngdon, A., Stillwell, D. (2017). Creating a Psychometric Assessment with Project Malmo. Designing Tasks for the Future of AI - Project Malmo Workshop, Long Beach, CA, USA.
Peters, H., Kyngdon, A., Stillwell, D. (2017) Creating an Educational Assessment in Minecraft. International Conference on Educational Data Mining and Applications, Beijing, China.
Working Papers
Peters, H., Mueller, A. (2019). Construction of a Portfolio Classifier for the Data Analysis Baseline Library (DABL).(working paper available here)
