All Stories

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