About

Recently, the rapid development of generative AI has brought new opportunities and challenges to this field, sparking numerous new questions. These questions may not necessarily be quickly transformed into papers, but we believe it is necessary to promptly discuss them to help the community better clarify important issues and research agendas for the future.

We thus invite you to join our workshop (Gen4DS) to discuss questions such as: How can generative AI facilitate the creation of data stories? How might generative AI alter the workflow of data storytellers? What are the pitfalls and risks of incorporating AI in storytelling? We have designed both paper presentations and interactive activities (including hands-on creation, group discussion pods, and debates on controversial issues) for the workshop. We hope that participants will learn about the latest advances and pioneering work in data storytelling, engage in critical conversations with each other, and have an enjoyable, unforgettable, and meaningful experience at the event.

Program

The workshop is scheduled for October 13th in the afternoon, from 16:00 to 19:00 (UTC+0) / 12:00 to 15:00 (UTC-4).

Keynote: Diversity in Data Narrative Approaches: 16:00 to 16:50 (UTC+0) / 12:00 to 12:50 (UTC-4)

Keynote Speaker: Sheelagh Carpendale is a Professor and Canada Research Chair at Simon Fraser University. Her many awards include the Canadian Lifetime Award in Computer Science, IEEE Visualization Career Award, the NSERC E.W.R. STEACIE Fellowship, and a BAFTA (British equivalent of an Oscar). She is a Fellow in the Royal Society of Canada and has been inducted into the IEEE Visualization Academy and the ACM CHI Academy. Her research focuses on information visualization, interaction design, and qualitative empirical research. By studying how people interact with information both in work and social settings, she works towards designing more natural, accessible and understandable interactive visual representations of data. She combines information visualization, visual analytics and human-computer interaction with innovative new interaction techniques to better support the everyday practices of people who are viewing, representing, and interacting with information.

Paper Session: 16:55 to 17:35 (UTC+0) / 12:55 - 13:35 (UTC-4)

  • The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts
    Authors: Matthew Brehmer, Vidya Setlur, Zoe, Michael Correll

  • Constraint representation towards precise data-driven storytelling
    Authors: Yu-Zhe Shi, Haotian Li, Lecheng Ruan, Huamin Qu

  • Show and Tell: Exploring Large Language Model’s Potential in Formative Educational Assessment of Data Stories
    Authors: Naren Sivakumar, Lujie Karen Chen, Pravalika Papasani, Vigna Majmundar, Jinjuan Heidi Feng, Louise Yarnall, Jiaqi Gong

  • From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems
    Authors: Leixian Shen, Haotian Li, Yun Wang, Huamin Qu

Round Table Discussion 17:40 - 18:10 (UTC+0) / 13:40 - 14:10 (UTC-4)

Important Dates (AOE Time)

  • July 08, 2024 (July 02, 2024): Abstract Submission Deadline (not required for Practical Reports and Activity Reports)
  • July 15, 2024 (July 09, 2024): Paper Submission Deadline
  • August 03, 2024 (July 30, 2024): Author Notification
  • August 15, 2024: Camera Ready Submission Deadline
  • October 13 Afternoon (UTC-4 Time), 2024: Workshop

Workshop goals

  • Exchanging. Through paper presentations, participants will exchange their cutting-edge research and activities relating to data storytelling.
  • Exploring. Through interactive activities, participants will explore how to integrate generative AI into the pipeline of data storytelling. The sessions are designed to foster an environment of collaborative learning, where participants can exchange insights on the latest tools, share their practical experiences, and discuss effective learning methodologies.
  • Criticizing. By engaging in the discussion and debate on ``data storytelling + generative AI", participants are poised to uncover novel insights, deepen reflections, and draw inspiration. We also encourage participants to critically examine new technologies, guiding future research to utilize AI cautiously and responsibly.
  • Connecting. Data storytelling is a highly interdisciplinary field, with researchers and practitioners coming from diverse backgrounds, organizations, and countries. By attending this workshop, participants will connect with more people with common interests and start meaningful conversations.

Workshop Topics

The workshop topics include but are not limited to:
  • Create multimedia content in data story with generative AI
  • Data storytelling design workflows with generative AI
  • Scenarios and application of data story with generative AI
  • Human-AI collaboration mode in data story creation
  • Pedagogy of data story creation with generative AI
  • Ethics in generative AI for data storytelling
  • Evaluation methods and criteria
  • Usage guidelines of generative AI for data storytelling
  • Tools/systems leveraging generative AI for data storytelling
  • Data storytelling with generative AI for all
  • Governance and autonomy

Call for Submission

The submission should be made through the PCS system. When preparing your submission, please make sure that you carefully read and adhere to the paper submission guidelines and follow the VGTC Conference Style Template. The workshop accepts the following types of submissions:
  • Full papers. 4-8 pages excluding references, intended for publication through the IEEE Xplore Digital Library with DOI. According to the guidance of IEEE VIS, accepted workshop papers can contribute to VIS full paper submissions in a future year. However, such submissions should not contain verbatim copies of previous content. Furthermore, any full paper submission to VIS must stand as its own contribution.
  • Short papers. 2-4 pages excluding references, not for publication in the IEEE Xplore Digital Library; short papers will be available on the workshop’s website.
  • Practical reports. Practical reports that describe how an activity is conducted and how it could be reused by others and in other contexts; these activity reports will be published on the workshop's website.
  • Activity reports. Experiences and reflections on data storytelling experiences that serve the exchange between newly appointed and experienced faculty; these practical reports will be published on the workshop's website.