Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking

Anjali Khurana, Hariharan Subramonyam, Parmit K. Chilana. Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking. In Proceedings of the 29th International Conference on Intelligent User Interfaces, IUI 2024, Greenville, SC, USA, March 18-21, 2024. pages 288-303, ACM, 2024. [doi]

@inproceedings{KhuranaSC24,
  title = {Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking},
  author = {Anjali Khurana and Hariharan Subramonyam and Parmit K. Chilana},
  year = {2024},
  doi = {10.1145/3640543.3645200},
  url = {https://doi.org/10.1145/3640543.3645200},
  researchr = {https://researchr.org/publication/KhuranaSC24},
  cites = {0},
  citedby = {0},
  pages = {288-303},
  booktitle = {Proceedings of the 29th International Conference on Intelligent User Interfaces, IUI 2024, Greenville, SC, USA, March 18-21, 2024},
  publisher = {ACM},
}