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This Repository contains the code for the Hi-Fi Prototype of PaperCraft, developed for the HCI course 2023/2024 in collaboration with Lorenzo Bertetto, Davide Colaiacomo and Daniele De Rossi.

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PaperCraft: Text-Editing Helper for Researchers

Project Overview:

PaperCraft is a text-editing helper designed to assist researchers in improving the quality, style, and productivity of their writing process. Developed by QuadraMente as part of the Human-Computer Interaction course at Politecnico di Torino for the academic year 2023/2024, PaperCraft aims to enhance the interaction between researchers and AI, addressing the evolving landscape of human-AI interaction.

Team Members:

  • Lorenzo Bertetto
  • Davide Colaiacomo
  • Daniele De Rossi
  • Giulia Di Fede

Problem Statement:

The main focus of PaperCraft is to address the challenges researchers face in writing articles, particularly in refining text quality, style, and tone. As AI-driven interfaces continue to reshape human experiences, there is a growing need to integrate AI technologies to boost productivity and facilitate user trust in AI adoption.

Features:

PaperCraft offers the following features to assist researchers in their writing process:

  1. Text Quality Enhancement: PaperCraft provides editing suggestions to enhance the overall quality and clarity of the text.
  2. Style Improvement: The application offers suggestions to improve the writing style, ensuring coherence and conciseness.
  3. Tone Enhancement: PaperCraft helps researchers adjust the tone of their writing to better fit the intended audience or purpose.
  4. Boost Productivity: By streamlining the editing process, PaperCraft aims to increase researchers' productivity, allowing them to focus more on the content of their articles.

Usage:

Researchers can utilize PaperCraft by inputting their text into the application. PaperCraft then analyzes the text and provides real-time suggestions and enhancements to improve its quality, style, and tone. Users can accept or reject suggestions based on their preferences.

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By QuadraMente, 2024.

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This Repository contains the code for the Hi-Fi Prototype of PaperCraft, developed for the HCI course 2023/2024 in collaboration with Lorenzo Bertetto, Davide Colaiacomo and Daniele De Rossi.

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