| Investigating the relationships between mobility behaviours and indicators of subjective well–being using smartphone–based experience sampling and GPS tracking SR Müller, H Peters, SC Matz, W Wang, GM Harari European Journal of Personality 34 (5), 714-732, 2020 | 56 | 2020 |
| The potential of generative AI for personalized persuasion at scale SC Matz, JD Teeny, SS Vaid, H Peters, GM Harari, M Cerf Scientific Reports 14 (1), 4692, 2024 | 40 | 2024 |
| Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples SR Müller, X Chen, H Peters, A Chaintreau, SC Matz Scientific Reports 11 (1), 14007, 2021 | 40 | 2021 |
| Construction and validation of a game-based intelligence assessment in Minecraft H Peters, A Kyngdon, D Stillwell Computers in Human Behavior 119, 106701, 2021 | 30 | 2021 |
| Regional personality differences predict variation in early COVID-19 infections and mobility patterns indicative of social distancing H Peters, FM Götz, T Ebert, SR Müller, PJ Rentfrow, SD Gosling, ... Journal of Personality and Social Psychology 124 (4), 848, 2023 | 26* | 2023 |
| Large language models can infer psychological dispositions of social media users H Peters, S Matz PNAS Nexus, pgae231, 2024 | 14 | 2024 |
| Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics SC Matz, CS Bukow, H Peters, C Deacons, A Dinu, C Stachl Scientific Reports 13 (1), 5705, 2023 | 14 | 2023 |
| The Big Data toolkit for psychologists: Data sources and methodologies. H Peters, Z Marrero, SD Gosling American Psychological Association, 2022 | 7 | 2022 |
| Predicting future location categories of users in a large social platform RA Baten, Y Liu, H Peters, F Barbieri, N Shah, L Neves, MW Bos Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 5 | 2023 |
| Machine learning in recruiting: Predicting personality from CVs and short text responses E Grunenberg, H Peters, MJ Francis, MD Back, SC Matz Frontiers in Social Psychology 1, 1290295, 2024 | 4 | 2024 |
| Context-Aware Prediction of User Engagement on Online Social Platforms H Peters, Y Liu, F Barbieri, RA Baten, SC Matz, MW Bos arXiv preprint arXiv:2310.14533, 2023 | 2 | 2023 |
| Sensory substitution can improve decision-making H Peters, SC Matz, M Cerf Computers in Human Behavior 146, 107797, 2023 | 2 | 2023 |
| Do Large Language Models Understand Verbal Indicators of Romantic Attraction? SC Matz, H Peters, PW Eastwick, M Cerf, EJ Finkel arXiv preprint arXiv:2407.10989, 2024 | 1 | 2024 |
| A Practical Approach to Deploying LLM Chatbots for Human-AI Interaction Research H Peters OSF, 2024 | | 2024 |
| Large Language Models Can Infer Personality from Free-Form User Interactions H Peters, M Cerf, S Matz arXiv preprint arxiv:2405.13052, 2024 | | 2024 |
| Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior H Peters, JB Bayer, SC Matz, Y Chi, SS Vaid, GM Harari arXiv preprint arXiv:2404.16066, 2024 | | 2024 |
| Generalizable Error Modeling for Search Relevance Data Annotation Tasks H Peters, A Hashemi, J Rae arXiv preprint arXiv:2310.05286, 2023 | | 2023 |
| Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python H Peters, M Parrott arXiv preprint arXiv:2309.15719, 2023 | | 2023 |
Sandra MatzColumbia UniversityVerified email at gsb.columbia.edu
