Register now After registration you will be able to apply for this opportunity online.
Collaborative Data Storytelling in Spreadsheets with Large Language Models
This project aims to transform the way users engage with data in spreadsheets by creating an interactive, collaborative platform for data storytelling. The motivation is to make data analysis more engaging, accessible, and narrative-driven, allowing users to seamlessly weave stories around their data while leveraging the power of large language models (LLMs). The platform will feature a community-based web forum where users can access a variety of public datasets or upload their own. Each dataset can be imported into a storytelling system integrated within the spreadsheet environment. This system will allow users to perform common data operations, such as calculating averages, standard deviations, and generating visualizations (e.g., charts), while the LLM will offer suggestions for a cohesive narrative. For instance, the system can auto-generate explanatory text based on the user’s data manipulations, creating a comprehensive story of the dataset. The goal is to help users articulate insights, uncover trends, and communicate findings in a more structured and compelling way. (Target Venue: ACM UIST 2025)
Keywords: User-Centric Computing Systems,
Web Programming,
User Study,
Data Storytelling,
Large Language Models
Not specified
Community Forum: A hub where users can share, discuss, and access public datasets, as well as upload their own.
Interactive Spreadsheet Interface: Users perform data operations such as statistical calculations and chart creation.
LLM-Assisted Storytelling: The system will automatically generate narrative suggestions, helping users build a cohesive story from their data.
Collaborative Sharing: Once users complete their data storytelling, they can upload and share their narratives with the community for feedback and collaboration.
Community Forum: A hub where users can share, discuss, and access public datasets, as well as upload their own. Interactive Spreadsheet Interface: Users perform data operations such as statistical calculations and chart creation. LLM-Assisted Storytelling: The system will automatically generate narrative suggestions, helping users build a cohesive story from their data. Collaborative Sharing: Once users complete their data storytelling, they can upload and share their narratives with the community for feedback and collaboration.
