All Stories

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