Generative AI in Psychological Research
  • Generative AI in Psychological Research: Course Overview
    • Module 1: Foundations of AI in Psychology
    • Module 2: AI-Driven Data Collection
  • Lecture 01.1 – Introduction to Generative AI in Psychology
    • Introduction
    • Capabilities of Modern Generative AI
    • The Evolution from Traditional to AI-Augmented Research
    • The Spectrum of LLM Applications in Psychology
    • Key Ethical and Methodological Considerations
    • Case Study: The Emergence of “Silicon Samples”
    • Conclusion
  • Lecture 01.2 – Survey Design with Large Language Models
    • Introduction
    • Traditional Challenges in Survey Design
    • How LLMs Can Enhance Survey Design
    • Case Study: AI-Generated vs. Human-Generated Questionnaires
    • Practical Implementation: Human-AI Collaboration in Survey Design
    • Optimizing LLM Prompts for Survey Design
    • Limitations and Best Practices
    • Case Example: Developing a Likert-Scale Measure of Climate Anxiety
    • Conclusion
  • Lecture 01.3 – Synthetic Respondents: Simulation and Supplementation
    • Introduction
    • The Promise of Synthetic Respondents
    • The Scientific Reality: Empirical Findings on Synthetic Respondent Fidelity
    • Proper Use Cases and Limitations
    • Case Study: Depression Prediction from Synthetic Clinical Interviews
    • Best Practices for Working With Synthetic Respondents
    • Conclusion
  • Lecture 02.1 – Interactive AI Surveys
    • Introduction
    • The Promise of Conversational AI Surveys
    • Empirical Evidence: Do AI Interviews Work?
    • Implementing AI Conversational Surveys
    • Case Study: An AI-Driven Mental Health Assessment
    • Ethical Considerations
    • Best Practices for AI-Driven Surveys
    • Future Directions
    • Conclusion
  • Lecture 02.2 – Privacy Considerations
    • Introduction
    • Understanding the Privacy Landscape
    • Closed API LLMs vs. Open-Source Models: A Privacy Comparison
    • Practical Privacy Preservation Strategies
    • Hybrid Approaches: Balancing Privacy and Capability
    • Responsible Documentation and Transparency
    • Case Study: Privacy-Preserving Clinical Assessment
    • Future Directions in Privacy-Preserving AI
    • Conclusion
  • Lecture 02.4 - Conversational AI Survey (BFITraitTalk_AI Tutorial)
    • Overview
    • Setup
      • Prerequisites
      • Installation Steps
    • Codebase Walkthrough
    • Frontend Design (User Interface)
    • Survey Logic and Adaptive Interview Flow
    • Backend Structure and Data Flow
    • Psychological Design Considerations
    • Ethical and Methodological Considerations
    • Customization and Extension Ideas
    • Conclusion
  • References
Generative AI in Psychological Research
  • Search

© Copyright .

Built with Sphinx using a theme provided by Read the Docs.