.. Generative AI in Survey Design and Data Collection documentation master file

Generative AI in Survey Design and Data Collection
===================================================

This material explores the transformative impact of large language models and other generative AI technologies
on psychological research methods, with a special focus on survey design, data collection, and analysis.
The shift from traditional research methods to AI-augmented approaches represents a significant
paradigm shift in computational psychology. This lecture series examines both the promising
opportunities and ethical challenges of this emerging field.

Attribution
---------------

This documentation is based on contemporary research in computational psychology and AI.
The content synthesizes findings from numerous studies, academic publications, and industry reports
to provide a comprehensive overview of how generative AI is reshaping psychological inquiry.
We gratefully acknowledge the contributions of researchers across multiple disciplines
whose work has informed this material.

Objectives of This Lecture Series
-----------------------------------

After completing this lecture, you will be able to:

* Understand how generative AI can enhance survey design in psychological research
* Evaluate the potential and limitations of synthetic respondent data
* Implement interactive AI-driven survey techniques
* Analyze Likert-scale data using both traditional and AI-augmented methods
* Address privacy and ethical considerations in AI-enabled research
* Apply these techniques to real-world psychological studies
* Design and implement conversational AI survey tools

Lecture Structure
------------------

This lecture series is divided into three modules:

1. **Foundations of AI in Psychology**: Introduction to generative AI and its applications in survey design and synthetic data
2. **AI-Driven Data Collection**: Implementing interactive AI surveys, addressing privacy considerations, and building AI-powered survey tools
3. **Practical Applications**: Analysis techniques and future directions for AI in psychological research

Lecture Overview
-----------------

.. toctree::
   :maxdepth: 2
   
   lecture_overview
   lecture_01_1_intro_to_genai_psychology
   lecture_01_2_survey_design_with_llms
   lecture_01_3_synthetic_respondents
   lecture_02_1_interactive_ai_surveys
   lecture_02_2_privacy_considerations
   lecture_02_3_bfitraittalk_ai_tutorial
   references
   
Indices and tables
====================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`