All Stories

  1. Brief Speech Samples Reveal Emotional States in Daily Life
  2. The Digital Authoritarian: Smartphones reveal the everyday behavioral patterns of individuals with authoritarian tendencies
  3. Aligning generalization between humans and machines
  4. Contextualizing Smartphone-Typed Language With User Input Intention
  5. Digital Traces of Everyday Smartphone Usage Predict Fluid Intelligence
  6. Satisfaction with Life Manifests in Physical Activity Patterns Captured with Smartphones
  7. From Embeddings to Explainability: A Tutorial on Large-Language-Model-Based Text Analysis for Behavioral Scientists
  8. Everyday Smartphone Behaviors Predict Life Outcomes
  9. Everyday Smartphone Behaviors Predict Life Outcomes
  10. The Digital Authoritarian: Everyday behavioral patterns collected with smartphones predict authoritarianism
  11. From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists
  12. Predicting and Explaining Assessment Center Judgments: A Cross‐Validated Behavioral Approach to Performance Judgments in Interpersonal Assessment Center Exercises
  13. Predicting and Explaining Assessment Center Judgments: A Cross-Validated Behavioral Approach to Performance Judgments in Interpersonal Assessment Center Exercises
  14. Semantic content outperforms speech prosody in predicting affective experience in naturalistic settings
  15. A workflow for human-centered machine-assisted hypothesis generation: Commentary on Banker et al. (2024).
  16. From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists
  17. From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists
  18. Psychological well-being in Europe after the outbreak of war in Ukraine
  19. How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health
  20. Best Practices in Supervised Machine Learning: A Tutorial for Psychologists
  21. A global experience‐sampling method study of well‐being during times of crisis: The CoCo project
  22. Author Correction: Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics
  23. Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics
  24. Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences
  25. Factorized Structured Regression for Large-Scale Varying Coefficient Models
  26. Future-generation personality prediction from digital footprints
  27. Mobile sensing in psychological and educational research: Examples from two application fields
  28. Grouped feature importance and combined features effect plot
  29. Best Practices in Supervised Machine Learning: A Tutorial for Psychologists
  30. Analyzing GPS Data for Psychological Research: A Tutorial
  31. Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences
  32. Age and gender in language, emoji, and emoticon usage in instant messages
  33. Measurement practices exacerbate the generalizability crisis: Novel digital measures can help
  34. Machine learning for the educational sciences
  35. Digital Voodoo Dolls
  36. Analyzing GPS Data for Psychological Research: A Tutorial
  37. Computational personality assessment
  38. Machine Learning for the Educational Sciences
  39. Machine Learning for the Educational Sciences
  40. Computational Personality Assessment - An Overview and Perspective
  41. Mobile sensing for studying personality dynamics in daily life
  42. Age and Gender in Language, Emoji, and Emoticon Usage in Instant Messages
  43. Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
  44. Personality Sensing for Theory Development and Assessment in the Digital Age
  45. To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns
  46. Predicting personality from patterns of behavior collected with smartphones
  47. Personality Research and Assessment in the Era of Machine Learning
  48. Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
  49. 2. Opportunities and challenges of utilizing personality traits for personalization in HCI
  50. Personality Research and Assessment in the Era of Machine Learning
  51. Enter the Wild: Autistic Traits and Their Relationship to Mentalizing and Social Interaction in Everyday Life
  52. Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits
  53. Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life.
  54. Predicting instructed simulation and dissimulation when screening for depressive symptoms
  55. Enter the Wild: Autistic Traits and Their Relationship to Mentalizing and Social Interaction in Everyday Life
  56. Experience Sampling as Information Transmission
  57. Digital Footprints of Sensation Seeking
  58. One way to guide them all: Wayfinding strategies and the examination of gender-specific navigational instructions in a real-driving context
  59. I Drive My Car and My States Drive Me
  60. Personality Traits Predict Smartphone Usage
  61. Your Data, Your Vis: Personalizing Personal Data Visualizations
  62. Show me how you Drive and I’ll Tell you who you are Recognizing Gender Using Automotive Driving Parameters