All Stories

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