Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale
📰 ArXiv cs.AI
Evaluating ChatGPT for extracting research challenges in Human-Computer Interaction (HCI) from a large scholarly corpus
Action Steps
- Apply a two-step approach using GPT-3.5 to extract candidate challenges from a large scholarly corpus in HCI
- Use GPT-4 to refine and validate the extracted challenges
- Evaluate the effectiveness of ChatGPT in extracting research challenges and identify potential limitations
- Analyze the results to identify key challenges in HCI and their implications for future research
Who Needs to Know This
AI engineers and researchers can benefit from this study to improve the application of large language models in real-world tasks, while HCI researchers can gain insights into the challenges in their field
Key Insight
💡 ChatGPT can be effectively used to extract research challenges in HCI, but its effectiveness depends on the quality of the input data and the refinement of the extracted challenges
Share This
🤖 ChatGPT can be used to extract research challenges in HCI from large scholarly corpora
DeepCamp AI