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Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience.
Animation: the whole story
Howard Beckerman · 2003
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Representing Discourse Coherence: A Corpus-Based Study
Florian Wolf and Edward Gibson · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Flow mapping and multivariate visualization of large spatial interaction data
Diansheng Guo · 2009
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Narrative visualization: Telling stories with data
Edward Segel and Jeffrey Heer · 2010
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Visualization rhetoric: Framing effects in narrative visualization
Jessica Hullman and Nick Diakopoulos · 2011
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Contextifier: automatic generation of annotated stock visualizations
Jessica Hullman, Nicholas Diakopoulos, and Eytan Adar · 2013
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Sketchstory: Telling more engaging stories with data through freeform sketching
Bongshin Lee, Rubaiat Habib Kazi, and Greg Smith · 2013
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Newsviews: an automated pipeline for creating custom geovisualizations for news
Tong Gao, Jessica R. Hullman, Eytan Adar, Brent Hecht, and Nicholas Diakopoulos · 2014
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Transmedia critical— limitations of transmedia storytelling for children: A cognitive developmental analysis
Daniel Pietschmann, Sabine Völkel, and Peter Ohler · 2014
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More than telling a story: Transforming data into visually shared stories
Bongshin Lee, Nathalie Henry Riche, Petra Isenberg, and Sheelagh Carpendale · 2015
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Understanding data videos: Looking at narrative visualization through the cinematography lens
Fereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Christophe Hurter, and Pourang Irani · 2015
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A case study using visualization interaction logs and insight metrics to understand how analysts arrive at insights
Hua Guo, Steven R. Gomez, Caroline Ziemkiewicz, and David H. Laidlaw · 2016
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Overview of text visualization techniques
Nan Cao, Weiwei Cui, Nan Cao, and Weiwei Cui · 2016
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Visual narrative flow: Exploring factors shaping data visualization story reading experiences
S. McKenna, N. Henry Riche, B. Lee, J. Boy, and M. Meyer · 2017
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Chartaccent: Annotation for data-driven storytelling
Donghao Ren, Matthew Brehmer, Bongshin Lee, Tobias Höllerer, and Eun Kyoung Choe · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Ontology-based natural language query interfaces for data exploration
Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R Mittal, Jaydeep Sen, Diptikalyan Saha, and Karthik Sankaranarayanan · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
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Narvis: Authoring narrative slideshows for introducing data visualization designs
Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, and Huamin Qu · 2018
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Visualizing nonlinear narratives with story curves
Nam Wook Kim, Benjamin Bach, Hyejin Im, Sasha Schriber, Markus Gross, and Hanspeter Pfister · 2018
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A survey on automatic image caption generation
Shuang Bai and Shan An · 2018
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A study of the effects of narration on comprehension and memorability of visualisations
Humphrey O. Obie, Caslon Chua, Iman Avazpour, Mohamed Abdelrazek, John Grundy, and Tomasz Bednarz · 2019
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Trust and recall of information across varying degrees of title-visualization misalignment
Ha-Kyung Kong, Zhicheng Liu, and Karrie Karahalios · 2019
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Calliope: Automatic visual data story generation from a spreadsheet
Danqing Shi, Xinyue Xu, Fuling Sun, Yang Shi, and Nan Cao · 2020
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Iseql: Interactive sequence learning
Akshat Shrivastava and Jeffrey Heer · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2020
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Exploring visual information flows in infographics
Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, and Hui Huang · 2020
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STL-CQA: Structure-based transformers with localization and encoding for chart question answering
Hrituraj Singh and Sumit Shekhar · 2020
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Eye-tracking to predict user cognitive abilities and performance for user-adaptive narrative visualizations
Oswald Barral, Sébastien Lallé, Grigorii Guz, Alireza Iranpour, and Cristina Conati · 2020
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A survey on ML4VIS: Applying machine learning advances to data visualization
Qianwen Wang, Zhutian Chen, Yong Wang, and Huamin Qu · 2021
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Advisor: Automatic visualization answer for natural-language question on tabular data
Can Liu, Yun Han, Ruike Jiang, and Xiaoru Yuan · 2021
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Time series data augmentation for deep learning: A survey
Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, and Huan Xu · 2021
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Detecting formal thought disorder by deep contextualized word representations
Justyna Sarzynska-Wawer, Aleksander Wawer, Aleksandra Pawlak, Julia Szymanowska, Izabela Stefaniak, Michal Jarkiewicz, and Lukasz Okruszek · 2021
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Understanding narrative linearity for telling expressive time-oriented stories
Xingyu Lan, Xinyue Xu, and Nan Cao · 2021
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A design space for applying the freytag’s pyramid structure to data stories
Leni Yang, Xian Xu, XingYu Lan, Ziyan Liu, Shunan Guo, Yang Shi, Huamin Qu, and Nan Cao · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Chartocr: Data extraction from charts images via a deep hybrid framework
Junyu Luo, Zekun Li, Jinpeng Wang, and Chin-Yew Lin · 2021
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Erato: Cooperative data story editing via fact interpolation
Mengdi Sun, Ligan Cai, Weiwei Cui, Yanqiu Wu, Yang Shi, and Nan Cao · 2022
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Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, et al · 2022
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Language models can generate human-like self-reports of emotion
Mikke Tavast, Anton Kunnari, and Perttu Hämäläinen · 2022
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Language models are realistic tabular data generators
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, and Gjergji Kasneci · 2022
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Phrasemap: Attention-based keyphrases recommendation for information seeking
Yamei Tu, Rui Qiu, Yu-Shuen Wang, Po-Yin Yen, and Han-Wei Shen · 2022
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Nareor: The narrative reordering problem
Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, and Eduard Hovy · 2022
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Intentable: A mixed-initiative system for intent-based chart captioning
Jiwon Choi and Jaemin Jo · 2022
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Using large language models to generate engaging captions for data visualizations
Ashley Liew and Klaus Mueller · 2022
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Natural language interface for data visualization with deep learning based language models
Andreas Stöckl · 2022
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Leveraging generative conversational ai to develop a creative learning environment for computational thinking
Sangho Suh and Pengcheng An · 2022
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Chart-to-text: A large-scale benchmark for chart summarization
Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, and Shafiq Joty · 2022
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OpenCQA: Open-ended question answering with charts
Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Leong, Jia Qing Tan, Enamul Hoque, and Shafiq Joty · 2022
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AI4VIS: Survey on artificial intelligence approaches for data visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, and Huamin Qu · 2022
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Talebrush: Sketching stories with generative pretrained language models
John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, and Minsuk Chang · 2022
Cited alongside, same era.
A day at the races: using best arm identification algorithms to reduce the cost of information retrieval user studies
David E Losada, David Elsweiler, Morgan Harvey, and Christoph Trattner · 2022
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Do we still need human assessors? prompt-based gpt-3 user simulation in conversational ai
Selina Meyer, David Elsweiler, Bernd Ludwig, Marcos Fernandez-Pichel, and David E. Losada · 2022
Cited alongside, same era.
Storydall-e: Adapting pretrained text-to-image transformers for story continuation
Adyasha Maharana, Darryl Hannan, and Mohit Bansal · 2022
Cited alongside, same era.
Summarizing text to embed qualitative data into visualizations
Richard Brath · 2022
Cited alongside, same era.
Evaluating narrative visualization: a survey of practitioners
N. Errey, J. Liang, T. W. Leong, et al · 2023
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang · 2023
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The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, et al · 2023
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Transformative trends in generative ai: Harnessing large language models for natural language understanding and generation
Dinesh D. Patil, Dhanraj R. Dhotre, Gopal S. Gawande, Dipali S. Mate, Mayura V. Shelke, and Tejaswini S. Bhoye · 2023
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Data player: Automatic generation of data videos with narration-animation interplay
Leixian Shen, Yizhi Zhang, Haidong Zhang, and Yun Wang · 2023
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Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts
Tongshuang Wu, Michael Terry, and Carrie Jun Cai · 2022
Cited alongside, same era.
What makes data-to-text generation hard for pretrained language models?
Moniba Keymanesh, Adrian Benton, and Mark Dredze · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
Vizlinter: A linter and fixer framework for data visualization
Qing Chen, Fuling Sun, Xinyue Xu, Zui Chen, Jiazhe Wang, and Nan Cao · 2022
Cited alongside, same era.
Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Ahmed Masry, Xuan Long Do, Jia Qing Tan, Shafiq Joty, and Enamul Hoque · 2022
Cited alongside, same era.
Chart question answering: State of the art and future directions
E. Hoque, P. Kavehzadeh, and A. Masry · 2022
Cited alongside, same era.
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
Wahab Khan, Ali Daud, Khairullah Khan, Shakoor Muhammad, and Rafiul Haq · 2023
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Generative disco: Text-to-video generation for music visualization
Vivian Liu, Tao Long, Nathan Raw, and Lydia Chilton · 2023
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Supporting expressive and faithful pictorial visualization design with visual style transfer
Yang Shi, Pei Liu, Siji Chen, Mengdi Sun, and Nan Cao · 2023
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viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, and Eytan Adar · 2023
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UniChart: A universal vision-language pretrained model for chart comprehension and reasoning
Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, Enamul Hoque, and Shafiq Joty · 2023
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Wytiwyr: A user intent-aware framework with multi-modal inputs for visualization retrieval
Shishi Xiao, Yihan Hou, Cheng Jin, and Wei Zeng · 2023
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Matcha: Enhancing visual language pretraining with math reasoning and chart derendering
Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, and Julian Eisenschlos · 2023
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Chartllama: A multimodal llm for chart understanding and generation
Yucheng Han, Chi Zhang, Xin Chen, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, and Hanwang Zhang · 2023
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Affective visualization design: Leveraging the emotional impact of data
Xingyu Lan, Yanqiu Wu, and Nan Cao · 2023
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Emoset: A large-scale visual emotion dataset with rich attributes
Jingyuan Yang, Qirui Huang, Tingting Ding, Dani Lischinski, Danny Cohen-Or, and Hui Huang · 2023
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Foundation models meet visualizations: Challenges and opportunities
Weikai Yang, Mengchen Liu, Zheng Wang, and Shixia Liu · 2024
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Where are we so far? understanding data storytelling tools from the perspective of human-ai collaboration
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Llm-guided counterfactual data generation for fairer ai
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