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Title
Title
Content
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Behavioural aspects of human-AI interaction in theory and application / Anastasia Lebedeva. Paderborn, 2024
Content
Introduction
Scope and Context of the Studies
Methodological Choices
Summary of the Studies
Co-authorship and Individual contributions
The role of response time for algorithm aversion in fast & slow thinking tasks
Introduction
Theoretical Framework
Research Question and Hypotheses
Experimental Design
Results
Discussion
Conclusion
Does the involvement of domain experts in the AI training affect their AI perception and AI adherence? An experiment in the context of industrial AutoML applications
Introduction
Method
Experimental design
Experimental procedure
Experimental results
Demographic and descriptive statistics
Main analysis
Supplementary analysis
Discussion and conclusion
Domain knowledge acquisition for machine learning using ChatGPT
Introduction
Related work
Relevant Scientific Frameworks
Exemplary Knowledge Acquisition Methods
Conversational Agents and ChatGPT
Research Objectives and Contribution
Design & Development
Method & Prototype
Method for Domain Knowledge Acquisition with ChatGPT
ChatGPT Interviewer
Prototype Demonstration
Prototype Evaluation
RO1: Automation
RO2: Efficiency
RO3: Effectiveness
RO4: Usability
RO5: Human-centricity
Discussion
Conclusion
Conclusion
Bibliography
Appendices
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