Publications

@inproceedings{chung2024patchview, author = {Chung, John Joon Young and Kreminski, Max}, title = {Patchview: LLM-powered Worldbuilding with Generative Dust and Magnet Visualization}, year = {2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology}, url = {https://doi.org/10.1145/3654777.3676352}, doi={10.1145/3654777.3676352}, location = {Pittsburg, PA, USA}, series = {UIST '24} }

@inproceedings{ganguly2024shadowmagic, author = {Ganguly, Amrita, and Yan, Chuan, and Chung, John Joon Young, and Sun, Tong Steven, and Yoon, Kiheon, and Gingold, Yotam, and Hong, Sungsoo Ray}, title = {ShadowMagic: Designing Human-AI Collaborative Support for Comic Professionals’ Shadowing}, year = {2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology}, url = {https://doi.org/10.1145/3654777.3676332}, doi={10.1145/3654777.3676332}, location = {Pittsburg, PA, USA}, series = {UIST '24} }

@inproceedings{chung2023promptpaint, author = {Chung, John Joon Young and Adar, Eytan}, title = {PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions}, year = {2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3586183.3606777}, doi = {10.1145/3586183.3606777}, booktitle = {Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology}, keywords = { generative model, text-to-image generation, painting interactions}, location = {San Francisco, CA, USA}, series = {UIST '23} }

@article{han2023arxiv, title = {Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts}, author = {Han, Dongyoon and Choe, Junsuk and Chun, Seonghyeok and Chung, John Joon Young and Chang, Minsuk and Yun, Sangdoo and Song, Jean Y. and Oh, Seong Joon}, journal={arXiv preprint arXiv:2303.17595}, year = {2023} }

@inproceedings{chung2023increasing, title = {Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions}, author = {Chung, John and Kamar, Ece and Amershi, Saleema}, booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, month = jul, year = {2023}, address = {Toronto, Canada}, publisher = {Association for Computational Linguistics}, url = {https://aclanthology.org/2023.acl-long.34}, doi = {10.18653/v1/2023.acl-long.34}, pages = {575--593}, }

@inproceedings{10.1145/3563657.3595961, author = {Chung, John Joon Young and Adar, Eytan}, title = {Artinter: AI-Powered Boundary Objects for Commissioning Visual Arts}, year = {2023}, isbn = {9781450398930}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3563657.3595961}, doi = {10.1145/3563657.3595961}, abstract = {When commissioning visual art, clients and artists communicate to agree on what is to be created. This often requires bridging a language gap in how they conceive art. To arrive at a mutual understanding, they leverage boundary objects—organized language and artifact instances. However, building and working with such objects is hard due to their innate subjectivity and ambiguity. Moreover, acquiring artifact instances, such as references and sketches, requires effort. We introduce Artinter, an AI-powered commission-support system for sharing, concretizing, and expanding boundary objects. Artinter helps artists and clients develop a mutually understood ‘language’ by allowing them to define concepts with artifacts (e.g., what they mean by ‘happy’). The system provides two AI-powered approaches for expanding commission boundary objects: 1) guided search with user-defined concepts and 2) instance generation by mixing concepts and artifacts. Our studies identify how AI features can support commissions and reveal future directions for AI-powered collaborative art-making.}, booktitle = {Proceedings of the 2023 ACM Designing Interactive Systems Conference}, pages = {1997–2018}, numpages = {22}, keywords = {human-AI interaction, visual arts, collaboration, creativity support tool}, location = {Pittsburgh, PA, USA}, series = {DIS '23} }

@inproceedings{chung2022artist, author = {Chung, John Joon Young and He, Shiqing and Adar, Eytan}, title = {Artist Support Networks: Implications for Future Creativity Support Tools}, year = {2022}, isbn = {9781450393584}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3532106.3533505}, doi = {10.1145/3532106.3533505}, abstract = {The artist as a solitary genius does not reflect the reality of art-making. To enable art-making, artists are supported by many other people—subcontractors, collaborators, etc.—who collectively form an Artist’s Support Network. Through an interview of 14 artists, we map the space of relationship types, provided support, interactions, failures, and successes of human support relationships. Moreover, we identified the patterns by which these aspects relate to each other in different support relationships. As technologically-driven Creativity Support Tools (CSTs) emerge to augment and automate portions of the artist’s support network, the detail of these interactions becomes critical. Existing sites of collaboration in support networks invariably shape artists’ expectations. How a CST fits within existing interaction expectations will shape the design, the artist’s understanding, and ultimately, acceptance. With this lens, we reflect on how a CST’s design–and in particular, those support collaboration and AI-driven variants–will mesh with the artist’s support network.}, booktitle = {Designing Interactive Systems Conference}, pages = {232–246}, numpages = {15}, keywords = {creativity support tools, creativity support, art-making}, location = {Virtual Event, Australia}, series = {DIS '22} }

@inbook{chung2021talebrush, author = {Chung, John Joon Young and Kim, Wooseok and Yoo, Kang Min and Lee, Hwaran and Adar, Eytan and Chang, Minsuk}, title = {TaleBrush: Sketching Stories with Generative Pretrained Language Models}, year = {2022}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems} }

@inbook{lee2022promptiverse, author = {Lee, Yoonjoo and Chung, John Joon Young and Kim, Taesoo and Song, Jean Y. and Kim, Juho}, title = {Promptiverse: Scalable Generation of Scaffolding Prompts through Human-AI Knowledge Graph Annotation}, year = {2022}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems} }

@inbook{yan2022flatmagic, author = {Yan, Chuan and Chung, John Joon Young and Yoon, Kiheon and Gingold, Yotam and Adar, Eytan and Hong, Sungsoo Ray}, title = {FlatMagic: Improving Flat Colorization through AI-driven Design for DigitalComic Professionals}, year = {2022}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems} }

@article{wang2021puzzleme, author = {Wang, April Yi and Chen, Yan and Chung, John Joon Young and Brooks, Christopher and Oney, Steve}, title = {PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises}, year = {2021}, issue_date = {October 2021}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {5}, number = {CSCW2}, url = {https://doi.org/10.1145/3479559}, doi = {10.1145/3479559}, month = {oct}, articleno = {415}, numpages = {24}, keywords = {synchronous code sharing, live programming, peer assessment} }

@inproceedings{10.1145/3461778.3462050, author = {Chung, John Joon Young and He, Shiqing and Adar, Eytan}, title = {The Intersection of Users, Roles, Interactions, and Technologies in Creativity Support Tools}, year = {2021}, isbn = {9781450384766}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3461778.3462050}, doi = {10.1145/3461778.3462050}, booktitle = {Designing Interactive Systems Conference 2021}, pages = {1817–1833}, numpages = {17}, keywords = {creativity support tools, art-making, literature review}, location = {Virtual Event, USA}, series = {DIS '21} }

@inbook{chung2021beyond, author = {Chung, John Joon Young and Shin, Hijung Valentina and Xia, Haijun and Wei, Li-yi and Kazi, Rubaiat Habib}, title = {Beyond Show of Hands: Engaging Viewers via Expressive and Scalable Visual Communication in Live Streaming}, year = {2021}, isbn = {9781450380966}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3411764.3445419}, booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems}, articleno = {109}, numpages = {14} }

@inbook{lee2021personalizing, author = {Lee, Yoonjoo and Chung, John Joon Young and Song, Jean Y. and Chang, Minsuk and Kim, Juho}, title = {Personalizing Ambience and Illusionary Presence: How People Use “Study with Me” Videos to Create Effective Studying Environments}, year = {2021}, isbn = {9781450380966}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3411764.3445222}, booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems}, articleno = {355}, numpages = {13} }

@inproceedings{song2020creference, author = {Song, Jean Y. and Chung ,John J.Y. and Fouhey, David F. and Lasecki, Walter S.}, title = {C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation}, booktitle={Proceedings of the ACM conference on Computer-Supported Collaborative Work (CSCW '20)}, year = {2020}, publisher={ACM}, address={New York, NY, USA}, }

@inproceedings{chung2019efficient, author = {Chung ,John J.Y. and Song, Jean Y. and Kutty, Sindhu and Hong, Sungsoo Ray and Kim, Juho and Lasecki, Walter S.}, title = {Efficient Elicitation Approaches to Estimate Collective Crowd Answers}, booktitle={Proceedings of the ACM conference on Computer-Supported Collaborative Work (CSCW '19)}, year = {2019}, publisher={ACM}, address={New York, NY, USA}, doi={10.1145/3359164}, }

@inproceedings{chung2024patchview, author = {Chung, John Joon Young, and Roemmele, Melissa, and Kreminski, Max}, title = {Toyteller: Toy-Playing with Character Symbols for AI-Powered Visual Storytelling}, year = {2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, booktitle = {Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology}, location = {Pittsburg, PA, USA}, series = {UIST '24} }

@inproceedings{croisdale2023deckflow, author = {Croisdale, Gregory Thomas and Chung, John Joon Young and Huang, Emily and Birchmeier, Gage and Wang, Xu and Guo, Anhong}, title = {DeckFlow: A Card Game Interface for Exploring Generative Model Flows}, year = {2023}, isbn = {9798400700965}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3586182.3615821}, doi = {10.1145/3586182.3615821}, booktitle = {Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology}, articleno = {89}, numpages = {3}, keywords = {generative model, text-to-image generation, multimodal interaction}, location = {, San Francisco, CA, USA, }, series = {UIST '23 Adjunct} }

@inproceedings{ChungUIST2019Towards, author = {John J.Y. Chung, Fuhu Xiao, Nikola Banovic, and Walter S. Lasecki}, title = {Towards Instantaneous Recovery From Autonomous System Failures via Predictive Crowdsourcing}, booktitle={Proceedings of the 25th annual ACM symposium on User interface software and technology}, year = {2019}, location = {New Orleans, LA}, keywords = {human-prediction, real-time crowdsourcing}, }

@inproceedings{ChungCHI2019Accident, author = {John J.Y. Chung, Fuhu Xiao, Nicholas Recker, Kammeran Barnes, Nikola Banovic, and Walter S. Lasecki}, title = {Accident Prevention with Predictive Instantaneous Crowdsourcing}, booktitle = {CHI’19 Workshop on “Looking into the Future: Weaving the Threads of Vehicle Automation”}, year = {2019}, location = {Glassgow, UK}, keywords = {crowdsourcing, autonomous vehicle, instantaneous crowdsourcing}, }

@inproceedings{JoCHI2018Exprgram, author = {Kyung Je Jo, John J.Y. Chung and Juho Kim}, title = {Exprgram: A Language Learning Interface for Mastering Pragmatic Competence}, booktitle = {Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems}, series = {CHI EA '18}, year = {2018}, isbn = {978-1-4503-5621-3}, location = {Montreal QC, Canada}, pages = {LBW057:1--LBW057:6}, articleno = {LBW057}, numpages = {6}, url = {http://doi.acm.org/10.1145/3170427.3188582}, doi = {10.1145/3170427.3188582}, acmid = {3188582}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {language learning, learnersourcing, pragmatic competence, video learning}, }