All Stories

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