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

Documenti analoghi

• Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software
  di: Khurana, Anjali, et al.
  Pubblicazione: (2025)
• "I Just Need GPT to Refine My Prompts": Rethinking Onboarding and Help-Seeking with Generative 3D Modeling Tools
  di: Gautam, Kanak, et al.
  Pubblicazione: (2026)
• Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering
  di: Park, Soya, et al.
  Pubblicazione: (2023)
• Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?
  di: Zhao, Yiling, et al.
  Pubblicazione: (2025)
• Tracing Everyday AI Literacy Discussions at Scale: How Online Creative Communities Make Sense of Generative AI
  di: Liu, Haidan, et al.
  Pubblicazione: (2026)