OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines
Fengjie Wang, Yanna Lin, Leni Yang, Haotian Li, Mingyang Gu, Min Zhu, Huamin Qu
Abstract
Computational notebooks are widely utilized for exploration and analysis. However, creating slides to communicate analysis results from these notebooks is quite tedious and time-consuming. Researchers have proposed automatic systems for generating slides from notebooks, which, however, often do not consider the process of users conceiving and organizing their messages from massive code cells. Those systems ask users to go directly into the slide creation process, which causes potentially ill-structured slides and burdens in further refinement. Inspired by the common and widely recommended slide creation practice: drafting outlines first and then adding concrete content, we introduce OutlineSpark, an AI-powered slide creation tool that generates slides from a slide outline written by the user. The tool automatically retrieves relevant notebook cells based on the outlines and converts them into slide content. We evaluated OutlineSpark with 12 users. Both the quantitative and qualitative feedback from the participants verify its effectiveness and usability.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 9e980b21-cefd-4c52-bb49-a527bda17ca4Cited by top-tier papers10
- How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About ItNanna Inie, Jeanette Falk, Raghavendra SelvanCHI 2025 · 33 citations
- AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart GlassesRunze Cai, Nuwan Janaka, Hyeongcheol Kim, Yang Chen et al.CHI 2025 · 26 citations
- Compositional Structures as Substrates for Human-AI Co-creation Environment: A Design Approach and A Case StudyYining Cao, Yiyi Huang, Anh Truong, Hijung Valentina Shin et al.CHI 2025 · 15 citations
- How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying LayoutsHuichen Will Wang, Jane Hoffswell, Sao Myat Thazin Thane, Victor S. Bursztyn et al.IEEE VIS 2024 · 12 citations
- NotePlayer: Engaging Computational Notebooks for Dynamic Presentation of Analytical ProcessesYang Ouyang, Leixian Shen, Yun Wang, Quan LiUIST 2024 · 11 citations
Builds on21
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma et al.NeurIPS 2022 · 22,562 citations
- Design Guidelines for Prompt Engineering Text-to-Image Generative ModelsVivian Liu, Lydia B. ChiltonCHI 2022 · 586 citations
- How do Data Science Workers Collaborate? Roles, Workflows, and ToolsAmy X. Zhang, Michael J. Muller, Dakuo WangCSCW 2020 · 260 citations
- What's Wrong with Computational Notebooks? Pain Points, Needs, and Design OpportunitiesSouti Chattopadhyay, Ishita Prasad, Austin Z. Henley, Anita Sarma et al.CHI 2020 · 162 citations
- How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case StudyDavid Piorkowski, Soya Park, April Yi Wang, Dakuo Wang et al.CSCW 2021 · 142 citations
Related papers
- Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI CollaborationFengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati et al.CHI 2023 · 37 citations
- Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science WorkChengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan MaCHI 2022 · 53 citations
- Notable: On-the-fly Assistant for Data Storytelling in Computational NotebooksHaotian Li, Lu Ying, Haidong Zhang, Yingcai Wu et al.CHI 2023 · 38 citations
- ToonNote: Improving Communication in Computational Notebooks Using Interactive Data ComicsDaye Kang, Tony Ho, Nicolai Marquardt, Bilge Mutlu et al.CHI 2021 · 42 citations
- NB2P: Generating Data Science Pipelines from Computational NotebooksHaotian Gao, Quang Trung Ta, Tien Tuan Anh Dinh, Nhut-Minh Ho et al.ICSE 2026
