User Interface Overview

The ConfReady user interface has been designed with clarity and usability in mind. The UI includes several components, each designed with a clear functional and cognitive rationale:

1. Side Bar / Upload

• Styled to resemble file tabs, helping users intuitively associate the sidebar with navigation and workflow, leveraging visual connotation principles [1].
• Enables users to upload TeX source files (either a single .tex file or a zipped folder containing the necessary assets).
• Includes visual feedback for current actions, reinforcing awareness of ongoing tasks.
• The bottom of the sidebar features:
  • A model selector for choosing the desired language model.
  • Direct links to the documentation and the GitHub repository, organized based on information hierarchy principles [2].

2. Conference Selection

• Users can choose from a range of conference-specific checklists, currently including:
  • ACL Checklist
  • NeurIPS Checklist
  • NeurIPS Datasets & Benchmarks (NeurIPS D&B)
• This selection is key to tailoring the response generation to the formatting and content expectations of each conference.

3. Primary Navigation

• Located at the top of the UI, it acts as the main control hub.
• Facilitates easy switching between different sections of the checklist workflow.
• Includes visual progress indicators that help users track their completion status, enhancing task orientation and focus [3].

4. Secondary Navigation

• Strategically positioned to maintain flow and continuity without the need to return to the primary navigation.
• Supports fluid transitions between pages or tasks.
• Intentionally designed to minimize cognitive overload, particularly during high-focus tasks such as reviewing and editing AI-generated responses.

5. Response Sections

• Displays LLM-generated draft responses for each checklist item.
• Users are prompted to review and edit each section to ensure accuracy and alignment with the paper content.
• This validation phase is essential to guarantee the quality and reliability of AI-generated content.

6. Download

• Users are only allowed to download the final compiled responses after verifying all sections.
• Download options include:
  • A button in the final response section
  • A shortcut in the sidebar
• This staged approach emphasizes the user's responsibility in validating AI outputs, thereby promoting ethical and informed tool usage [4].

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References:

1. Davis, 2017. Visual Communication and Interface Psychology.
2. Guizani et al., 2022. A Decade of Information Design Research.
3. Nontasil et al., 2024. Investigating UX Indicators in Educational Interfaces.
4. Afroogh et al., 2024. Trust and Verification in Human-AI Interaction.