Human-Data Interaction Group @ UMD
@hdi_umd
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The Human-Data Interaction (HDI) research group at University of Maryland, College Park.
Joined December 2020
How do VLMs perform on answering questions about process visualizations? @kzintas presents findings at the #VizWiz workshop @ #CVPR2025 . https://t.co/i6C2qK3izS
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😃Just defended my PhD on "Bridging the Gulf of Evaluation in Human-AI interaction for Knowledge Workers", huge thanks to my advisor @zcliu, my committee Prof. David Weintrop, @haldaume3 @fumeng_yang @RuohanGao1 , my labmates @hdi_umd, and collaborators at @Adobe @BoschGlobal
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Check out the full paper published at CHI 2025 here:
Poster = small multiples of slides! “Comparing native and non-native English speakers’ behaviors in collaborative writing through visual analytics” #in2writing #naacl #NAACL2025
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We just released a new open-source repository by @kzintas, which includes implementations of three visual summarization techniques for event sequence data: Sequence Synoposis, SentenTree, and CoreFlow. Check it out here:
github.com
Contribute to hdi-umd/SequenceSummary development by creating an account on GitHub.
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We created COALA, a visual analytics tool that helps understand how native & non-native English speakers write differently when writing together. Our findings can help build better AI writing assistants for teams. Related #CSCW paper:
dl.acm.org
Content creation today often takes place via collaborative writing. A longstanding interest of CSCW research lies in understanding and promoting the coordination between co-writers. However, little...
Excited to share our #CHI2025 paper "Comparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics" with @zcliu @kzintas @umdcs Yimin Xiao, Ge Gao @INFOCollegeUMD @hcil_umd Naomi Yamashita @NTTPR #NAACL #in2writing #DataAnalytics
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Can you feel the Chen-ergy?! Huge Congratulations to Dr @ChenChe91591871 from all of us at @hdi_umd for successfully defending his dissertation! 🥳🥳🎓
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I’m excited to share our work on evaluating the semantic profiling abilities of Large Language Models (#LLMs) for NL utterances at #IEEEVIS! 💻✨ Checkout our paper and Repo: 📰 https://t.co/YTahdwXHvu 💾 Github: https://t.co/Aoc5Y7UnyW
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On Thursday (10/17) afternoon, @hannah_bako will unveil the influence of examples on data visualization design outcomes. Spoiler alert: timing and data schema matter in example-based design. Joint work with Xinyi Liu, Grace Ko, Hyemi Song, @leibatt , @zcliu. 7/7
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On Thursday (10/17) morning, @hannah_bako will present results from an evaluation of the semantic profiling abilities of LLMs on natural language utterances in data visualization. Joint work with Arshnoor Bhutani, Xinyi Liu, @kwesicobbina1, and @zcliu. 6/7
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On Thursday (10/17) morning, @ChenChe91591871 will introduce Manipulable Semantic Components, a computational representation of data visualization scenes. This paper with @zcliu and John Hooker won an Honorable Mention award. 5/7
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On Wednesday (10/16) afternoon, @SnehaGathani will present her work with @amcrisan, @vsetlur, and @10_arjun on Groot, a system for editing and configuring automated data insights. 4/7
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On Sunday 10/13, @ChenChe91591871 will present an interactive article on neural network robustness at the @VISxAI workshop, joint work with @JinbinHuang , Ethan Remsberg, @zcliu. 2/7
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At #CHI2024, @tracyyxchen is presenting our work on turning instructional videos into interactive mixed media tutorials for physical tasks. #TutoAI #humanAI_interaction #co_creation
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Excited to share our #CHI2024 paper "TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks" with @zcliu from @umdcs @hcil_umd and Vlad Morariu and Anh Truong from @AdobeResearch
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.@ChenChe91591871 will present our work on deconstructing SVG charts for layout reuse at @ieeevis. His talk is on Wednesday, in the meantime, you can check out the paper https://t.co/selezw7fWJ and the demo website
arxiv.org
To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusable components,...
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Enjoyed presenting @ChenChe91591871's great work on the state of the art in creating visualization corpora for automated chart analysis. Thanks for the interesting discussions! Lots of work to be done to enhance the rigor and generalizability of AI4VIS works.
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