Human Factors in LLM Adoption
Understanding why engineers choose LLMs for specific tasks
This research explores individual factors that influence how software engineers adopt Large Language Models for different development tasks.
- Examines the cognitive and behavioral dimensions affecting LLM adoption patterns
- Focuses on task-specific usage rather than general adoption trends
- Provides insights into the personal preferences and decision processes of developers
- Reveals how individual characteristics impact technology integration in engineering workflows
Understanding these factors helps engineering teams implement LLMs more effectively by considering human dimensions alongside technical capabilities.