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🧠 AI🟢 Bullish

FeedAIde: Guiding App Users to Submit Rich Feedback Reports by Asking Context-Aware Follow-Up Questions

arXiv – CS AI|Ali Ebrahimi Pourasad, Meyssam Saghiri, Walid Maalej|
🤖AI Summary

FeedAIde is a new AI-powered mobile app feedback system that uses Multimodal Large Language Models to guide users through submitting detailed bug reports and feature requests. The iOS framework captures contextual information like screenshots and asks follow-up questions to improve feedback quality, with testing showing enhanced completeness compared to traditional feedback forms.

Key Takeaways
  • →FeedAIde leverages Multimodal Large Language Models to improve mobile app feedback quality through context-aware questioning.
  • →The system captures screenshots and contextual information to generate adaptive follow-up questions for users.
  • →Testing on a gym app showed users rated FeedAIde as easier and more helpful than traditional feedback forms.
  • →Industry experts confirmed that FeedAIde improved the completeness of both bug reports and feature requests.
  • →The framework demonstrates practical applications of GenAI in enhancing user-developer communication workflows.
#multimodal-llm#mobile-apps#user-feedback#genai#software-development#context-aware-ai#ios-framework#user-experience
Read Original →via arXiv – CS AI
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