Bachelor Thesis: Trust in Artificial Intelligence

Quantitative study investigating how framing affects trust in LLM-based applications, using the AI-TAM model. Contains LaTeX thesis documents, a SvelteKit survey webapp, and automated build tooling.

Quick Start

git clone https://github.com/mrryf/bachelor-thesis.git
cd bachelor-thesis
make venv       # Create Python venv and install deps
make build      # Build thesis PDF
make test       # Run all tests (pytest)

Output: content/thesis/main.pdf

Project Structure

bachelor-thesis/
├── content/
│   ├── thesis/            # Thesis LaTeX source (main document)
│   ├── prestudy/          # Prestudy (frozen, submitted Dec 2025)
│   └── resources/         # Shared bibliography, images, data
├── webapp/                # SvelteKit survey application
├── apps/                  # Electron research config manager
├── scripts/               # Build and sync utilities
├── tests/                 # pytest test suite (8 modules)
├── .github/workflows/     # CI: test + build thesis
└── Makefile

Building & Testing

Prerequisites

• TeX Live 2025+ (or MacTeX): brew install --cask mactex
• Python 3.13+: managed via pyenv
• Node.js 20+ (for webapp only)

Releases

PDF releases are created on tagged pushes (git tag v1.0 && git push --tags).

License

Academic research project. All rights reserved.