Publications

2027

Journal Sports Analytics & Visualizations

PoseForge: Editable Pose Analytics for AI-Assisted Sports Coaching

Shuvam Swapnil Dash, Arpit Narechania. IEEE TVCG, 2027.

Project PDF Video Code

@article{dash2026poseforge,
  author = {Dash, Shuvam Swapnil and Narechania, Arpit},
  title = {{PoseForge: Editable Pose Analytics for AI-Assisted Sports Coaching}},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2027},
  publisher = {IEEE},
  note = {In Press}
}

Dash, S. S., & Narechania, A. (2027). PoseForge: Editable Pose Analytics for AI-Assisted Sports Coaching. IEEE Transactions on Visualization and Computer Graphics. In Press

Journal Human-Agent Interaction & Collaboration

Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles

Nguyen-Truong Thinh^*, Yuxuan Du^*, Phongsakon Mark Konrad, Arpit Narechania. IEEE TVCG, 2027.

^* Equal contribution

Project PDF Video Demo Code

@article{truong2026fyi,
  author = {Nguyen-Truong, Thinh and Du, Yuxuan and Konrad, Phongsakon Mark and Narechania, Arpit},
  title = {{Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles}},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2027},
  publisher = {IEEE},
  note = {In Press}
}

Nguyen-Truong, T., Du, Y., Konrad, P. M., & Narechania, A. (2027). Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles. IEEE Transactions on Visualization and Computer Graphics. In Press

2026

Patent

Data Identification and Extraction from Unstructured Documents

Arpit Narechania, Fan Du, Atanu R. Sinha, Nedim Lipka, Alexa F. Siu, Jane Hoffswell, Eunyee Koh, Vasanthi Holtcamp. USPTO, 2026.

★ Granted US 12,699,851

Project DOI PDF

@patent{narechania2023dataidentification,
  author = {Narechania, Arpit and Du, Fan and Sinha, Atanu R. and Lipka, Nedim and Siu, Alexa F. and Hoffswell, Jane Elizabeth and Koh, Eunyee and Holtcamp, Vasanthi},
  title = {{Data identification and extraction from unstructured documents}},
  number = {US12699851B2},
  year = {2026},
  month = aug,
  day = {4},
  nationality = {US},
  assignee = {Adobe Inc.},
  url = {https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12699851},
  note = {US patent 12,699,851, granted 4 August 2026}
}

Narechania, A., Du, F., Sinha, A. R., Lipka, N., Siu, A. F., Hoffswell, J. E., Koh, E., & Holtcamp, V. (2026). Data identification and extraction from unstructured documents (US12699851B2). Adobe Inc. US patent 12,699,851, granted 4 August 2026. https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12699851

Conference Human-Agent Interaction & Collaboration

WebSeek: Facilitating Proactive and Reactive Guidance for Decision Making on the Web

Yanwei Huang, Arpit Narechania. ACM CHI, 2026.

Project DOI PDF Video Code Chrome Extension

@inproceedings{huang2026webseek,
  author = {Huang, Yanwei and Narechania, Arpit},
  title = {{Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek}},
  year = {2026},
  isbn = {9798400722783},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772318.3791945},
  doi = {10.1145/3772318.3791945},
  booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {800},
  numpages = {20},
  series = {CHI '26}
}

Huang, Y., & Narechania, A. (2026). Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26) (Article 800, 20 pages). Association for Computing Machinery. https://doi.org/10.1145/3772318.3791945

Conference Human-Agent Interaction & Collaboration

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

Yanwei Huang, Wesley Hanwen Deng, Sijia Xiao, Motahhare Eslami, Jason I. Hong, Arpit Narechania, Adam Perer. ACM CHI, 2026.

Project DOI PDF Demo Code

@inproceedings{huang2026vipera,
  author = {Huang, Yanwei and Hanwen Deng, Wesley and Xiao, Sijia and Eslami, Motahhare and Hong, Jason I. and Narechania, Arpit and Perer, Adam},
  title = {{Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI}},
  year = {2026},
  isbn = {9798400722783},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772318.3791942},
  doi = {10.1145/3772318.3791942},
  booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {698},
  numpages = {18},
  series = {CHI '26}
}

Huang, Y., Hanwen Deng, W., Xiao, S., Eslami, M., Hong, J. I., Narechania, A., & Perer, A. (2026). Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26) (Article 698, 18 pages). Association for Computing Machinery. https://doi.org/10.1145/3772318.3791942

Poster Guidance & Analytic Provenance

SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements

Antariksh Verma, Kaustubh Odak, Arpit Narechania. ACM CHI, 2026.

Project DOI PDF Video Poster Demo Code npm Website

@inproceedings{verma2026superprovenancewidgets,
  author = {Verma, Antariksh and Odak, Kaustubh and Narechania, Arpit},
  title = {{SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements}},
  year = {2026},
  isbn = {9798400722813},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772363.3798409},
  doi = {10.1145/3772363.3798409},
  booktitle = {Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {625},
  numpages = {7},
  series = {CHI EA '26}
}

Verma, A., Odak, K., & Narechania, A. (2026). SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements. In Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) (Article 625, 7 pages). Association for Computing Machinery. https://doi.org/10.1145/3772363.3798409

Conference Natural & Explainable Interfaces

Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs

Shiyao Li, Roshini Deva, Arpit Narechania, Alireza Karduni, Cindy Xiong Bearfield, Emily Wall. ACM CHI, 2026.

Project DOI PDF

@inproceedings{li2026elicitationstudy,
  author = {Li, Shiyao and Deva, Roshini and Narechania, Arpit and Karduni, Alireza and Bearfield, Cindy Xiong and Wall, Emily},
  title = {{Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs}},
  year = {2026},
  isbn = {9798400722783},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772318.3791303},
  doi = {10.1145/3772318.3791303},
  booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {1231},
  numpages = {17},
  series = {CHI '26}
}

Li, S., Deva, R., Narechania, A., Karduni, A., Bearfield, C. X., & Wall, E. (2026). Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26) (Article 1231, 17 pages). Association for Computing Machinery. https://doi.org/10.1145/3772318.3791303

Poster Citations & Literature Review

Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems

Jianheng Ouyang, Arpit Narechania. ACM CHI, 2026.

Project DOI PDF Poster

@inproceedings{ouyang2026references,
  author = {Ouyang, Jianheng and Narechania, Arpit},
  title = {{Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems}},
  year = {2026},
  isbn = {9798400722813},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772363.3798415},
  doi = {10.1145/3772363.3798415},
  booktitle = {Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {89},
  numpages = {8},
  series = {CHI EA '26}
}

Ouyang, J., & Narechania, A. (2026). Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems. In Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) (Article 89, 8 pages). Association for Computing Machinery. https://doi.org/10.1145/3772363.3798415

Poster Human-Agent Interaction & Collaboration

Alignment–Process–Outcome: Rethinking How AIs and Humans Collaborate

Haichang Li, Anjun Zhu, Arpit Narechania. ACM CHI, 2026.

Project DOI PDF Poster

@inproceedings{li2026alignmentprocessoutcome,
  author = {Li, Haichang and Zhu, Anjun and Narechania, Arpit},
  title = {{Alignment–Process–Outcome: Rethinking How AIs and Humans Collaborate}},
  year = {2026},
  isbn = {9798400722813},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772363.3799032},
  doi = {10.1145/3772363.3799032},
  booktitle = {Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems},
  articleno = {84},
  numpages = {7},
  series = {CHI EA '26}
}

Li, H., Zhu, A., & Narechania, A. (2026). Alignment–Process–Outcome: Rethinking How AIs and Humans Collaborate. In Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) (Article 84, 7 pages). Association for Computing Machinery. https://doi.org/10.1145/3772363.3799032

2025

Journal Guidance & Analytic Provenance

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Arpit Narechania, Shunan Guo, Eunyee Koh, Alex Endert, Jane Hoffswell. IEEE TVCG, 2025.

Project DOI PDF Video Slides

@article{narechania2025provenancelens,
    author = {Narechania, Arpit and Guo, Shunan and Koh, Eunyee and Endert, Alex and Hoffswell, Jane},
    journal = {IEEE Transactions on Visualization and Computer Graphics}, 
    title = {{Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe With ProvenanceLens}}, 
    year = {2025},
    volume = {31},
    number = {10},
    pages = {8452-8465},
    doi = {10.1109/TVCG.2025.3571708},
    url = {https://doi.org/10.1109/TVCG.2025.3571708}
}

Narechania, A., Guo, S., Koh, E., Endert, A., & Hoffswell, J. (2025). Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe With ProvenanceLens. IEEE Transactions on Visualization and Computer Graphics, 31(10), 8452–8465. https://doi.org/10.1109/TVCG.2025.3571708

Poster Natural & Explainable Interfaces

NL4DV-Stylist: Styling Data Visualizations Using Natural Language and Example Charts

Tenghao Ji, Arpit Narechania. IEEE VIS, 2025.

Project DOI PDF Poster PyPI Website

@misc{ji2025nl4dvstylist, 
  title = {{NL4DV-Stylist: Styling Data Visualizations Using Natural Language and Example Charts}},
  url = {osf.io/fs4en_v2},
  doi = {10.31219/osf.io/fs4en_v2},
  publisher={OSF Preprints},
  author={Ji, Tenghao and Narechania, Arpit A},
  year={2025},
  month={Sep} 
}

Ji, T., & Narechania, A. A. (2025). NL4DV-Stylist: Styling Data Visualizations Using Natural Language and Example Charts. OSF Preprints. https://doi.org/10.31219/osf.io/fs4en_v2

Journal Cartography & GIS

Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations

Arpit Narechania, Alex Endert, Clio Andris. PACM HCI (CSCW), 2025.

Project DOI PDF Video Slides

@article{narechania2025cartographers,
  author = {Narechania, Arpit and Endert, Alex and Andris, Clio},
  title = {{Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations}},
  year = {2025},
  issue_date = {November 2025},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {9},
  number = {7},
  url = {https://doi.org/10.1145/3757461},
  doi = {10.1145/3757461},
  journal = {Proc. ACM Hum.-Comput. Interact.},
  month = oct,
  articleno = {CSCW280},
  numpages = {24},
}

Narechania, A., Endert, A., & Andris, C. (2025). Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations. Proceedings of the ACM on Human-Computer Interaction, 9(7), Article CSCW280, 24 pages. https://doi.org/10.1145/3757461

Journal Cartography & GIS

Exploropleth: Exploratory Analysis of Data Binning Methods in Choropleth Maps

Arpit Narechania, Alex Endert, Clio Andris. CaGIS, 2025.

★ Chapter in Thematic Cartography and Geovisualization (5th Edition)

Project DOI PDF Video Talk Poster Demo Website

@article{narechania2025exploropleth,
  author = {Arpit Narechania and Alex Endert and Clio Andris},
  title = {{Exploropleth: exploratory analysis of data binning methods in choropleth maps}},
  journal = {Cartography and Geographic Information Science},
  volume = {0},
  number = {0},
  pages = {1--16},
  year = {2025},
  publisher = {Taylor \& Francis},
  doi = {10.1080/15230406.2025.2543483},
  URL = {https://doi.org/10.1080/15230406.2025.2543483},
  eprint = {https://doi.org/10.1080/15230406.2025.2543483}
}

Narechania, A., Endert, A., & Andris, C. (2025). Exploropleth: exploratory analysis of data binning methods in choropleth maps. Cartography and Geographic Information Science, 1–16. https://doi.org/10.1080/15230406.2025.2543483

Patent

Interactive Tree Representing Attribute Quality or Consumption Metrics for Data Ingestion

Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp. USPTO, 2025.

★ Granted US 12,340,333

Project DOI PDF

@patent{narechania2025interactivetree,
  author = {Narechania, Arpit Ajay and Du, Fan and Sinha, Atanu R. and Rossi, Ryan A. and Hoffswell, Jane Elizabeth and Guo, Shunan and Koh, Eunyee and Anderson, John and Surange, Sonali and Mahapatra, Saurabh and Holtcamp, Vasanthi},
  title = {{Interactive tree representing attribute quality or consumption metrics for data ingestion and other applications}},
  number = {US12340333B2},
  year = {2025},
  month = jun,
  day = {24},
  nationality = {US},
  assignee = {Adobe Inc.},
  url = {https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12340333}
}

Narechania, A. A., Du, F., Sinha, A. R., Rossi, R. A., Hoffswell, J. E., Guo, S., Koh, E., Anderson, J., Surange, S., Mahapatra, S., & Holtcamp, V. (2025). Interactive tree representing attribute quality or consumption metrics for data ingestion and other applications (US12340333B2). Adobe Inc. https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12340333

Preprint Human-Agent Interaction & Collaboration

Agentic Enterprise: AI-Centric User to User-Centric AI

Arpit Narechania, Alex Endert, Atanu R Sinha. arXiv, 2025.

Project PDF

@misc{narechania2025agenticenterprise,
    author = {Arpit Narechania and Alex Endert and Atanu R Sinha},
    title = {{Agentic Enterprise: AI-Centric User to User-Centric AI}},
    year = {2025},
    eprint = {2506.22893},
    archivePrefix = {arXiv},
    primaryClass = {cs.AI},
    url = {https://arxiv.org/abs/2506.22893},
}

Narechania, A., Endert, A., & Sinha, A. R. (2025). Agentic Enterprise: AI-Centric User to User-Centric AI. arXiv. https://arxiv.org/abs/2506.22893

Conference Guidance & Analytic Provenance

Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis

Arpit Narechania, Alex Endert, Atanu R. Sinha. ACM IUI, 2025.

Project DOI PDF Video Talk Slides

@inproceedings{narechania2025guidancesourcematters,
  author = {Narechania, Arpit and Endert, Alex and Sinha, Atanu R},
  title = {{Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis}},
  year = {2025},
  isbn = {9798400713064},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3708359.3712166},
  doi = {10.1145/3708359.3712166},
  booktitle = {Proceedings of the 30th International Conference on Intelligent User Interfaces},
  pages = {789–809},
  numpages = {21},
  series = {IUI '25}
}

Narechania, A., Endert, A., & Sinha, A. R. (2025). Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis. In Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25) (pp. 789–809). Association for Computing Machinery. https://doi.org/10.1145/3708359.3712166

Journal Guidance & Analytic Provenance

ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance

Arpit Narechania, Kaustubh Odak, Mennatallah El-Assady, Alex Endert. IEEE TVCG, 2025.

★ GRSI Replicability Stamp

Project DOI PDF Video Slides Demo Code npm Website

@article{narechania2025provenancewidgets,
    author = {Narechania, Arpit and Odak, Kaustubh and El-Assady, Mennatallah and Endert, Alex},
    journal = {IEEE Transactions on Visualization and Computer Graphics}, 
    title = {{ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance}}, 
    year = {2025},
    volume = {31},
    number = {1},
    pages = {1235-1245},
    doi = {10.1109/TVCG.2024.3456144},
    url = {https://doi.org/10.1109/TVCG.2024.3456144}
}

Narechania, A., Odak, K., El-Assady, M., & Endert, A. (2025). ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance. IEEE Transactions on Visualization and Computer Graphics, 31(1), 1235–1245. https://doi.org/10.1109/TVCG.2024.3456144

2024

Dissertation Guidance & Analytic Provenance

Designing, Developing, and Democratizing Guidance for Visual Analytics

Arpit Narechania. Georgia Tech, 2024.

★ 2025 IEEE VGTC Visualization Dissertation Award

Project DOI PDF

@phdthesis{narechania2024guidance,
  author = {Narechania, Arpit Ajay},
  title = {{Designing, Developing, and Democratizing Guidance for Visual Analytics}},
  school = {Georgia Institute of Technology},
  year = {2024},
  month = dec,
  type = {Ph.D. dissertation},
  doi = {https://hdl.handle.net/1853/76976},
  url = {https://hdl.handle.net/1853/76976}
}

Narechania, A. A. (2024). Designing, Developing, and Democratizing Guidance for Visual Analytics [Ph.D. dissertation, Georgia Institute of Technology]. https://hdl.handle.net/1853/76976

Workshop Citations & Literature Review

vitaLITy 2: Reviewing Academic Literature Using Large Language Models

Hongye An, Arpit Narechania, Emily Wall, Kai Xu. NLVIZ Workshop (IEEE VIS), 2024.

Project PDF Video Talk Demo Website

@misc{an2024vitality2,
    author = {Hongye An and Arpit Narechania and Emily Wall and Kai Xu},
    title = {{vitaLITy 2: Reviewing Academic Literature Using Large Language Models}},
    year = {2024},
    eprint = {2408.13450},
    archivePrefix = {arXiv},
    primaryClass = {cs.HC},
    url = {https://arxiv.org/abs/2408.13450},
    howpublished = {Presented at the NLVIZ Workshop, IEEE VIS 2024}
}

An, H., Narechania, A., Wall, E., & Xu, K. (2024). vitaLITy 2: Reviewing Academic Literature Using Large Language Models. Presented at the NLVIZ Workshop, IEEE VIS 2024. https://arxiv.org/abs/2408.13450

Workshop Natural & Explainable Interfaces

Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models

Subham Sah^*, Rishab Mitra^*, Arpit Narechania^*, Alex Endert, John Stasko, Wenwen Dou. NLVIZ Workshop (IEEE VIS), 2024.

^* Equal contribution

Project PDF Video Talk Slides Demo PyPI Website

@misc{sah2024nl4dvllm,
    author = {Subham Sah and Rishab Mitra and Arpit Narechania and Alex Endert and John Stasko and Wenwen Dou},
    title = {{Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models}},
    year = {2024},
    eprint = {2408.13391},
    archivePrefix = {arXiv},
    primaryClass = {cs.HC},
    url = {https://arxiv.org/abs/2408.13391},
    howpublished = {Presented at the NLVIZ Workshop, IEEE VIS 2024}
}

Sah, S., Mitra, R., Narechania, A., Endert, A., Stasko, J., & Dou, W. (2024). Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models. Presented at the NLVIZ Workshop, IEEE VIS 2024. https://arxiv.org/abs/2408.13391

Patent

Natural Language Query Processing and Debugging

Gonzalo Ramos, Adam Fourney, Bongshin Lee, Arpit Narechania. USPTO, 2024.

★ Granted US 12,008,043

Project DOI PDF

@patent{narechania2024nlquerydebugging,
  author = {Ramos, Gonzalo A. and Fourney, Adam and Lee, Bongshin and Narechania, Arpit Ajay},
  title = {{Natural language query processing and debugging}},
  number = {US12008043B2},
  year = {2024},
  month = jun,
  day = {11},
  nationality = {US},
  assignee = {Microsoft Technology Licensing, LLC},
  url = {https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12008043}
}

Ramos, G. A., Fourney, A., Lee, B., & Narechania, A. A. (2024). Natural language query processing and debugging (US12008043B2). Microsoft Technology Licensing, LLC. https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12008043

Poster Guidance & Analytic Provenance

BiasBuzz: Combining Visual Guidance with Haptic Feedback to Increase Awareness of Analytic Behavior during Visual Data Analysis

Jamal Paden^*, Arpit Narechania^*, Alex Endert. ACM CHI, 2024.

^* Equal contribution

Project DOI PDF Video Poster

@inproceedings{paden2024biasbuzz,
    author = {Paden, Jamal R and Narechania, Arpit and Endert, Alex},
    title = {{BiasBuzz: Combining Visual Guidance with Haptic Feedback to Increase Awareness of Analytic Behavior during Visual Data Analysis}},
    year = {2024},
    isbn = {9798400703317},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3613905.3651064},
    doi = {10.1145/3613905.3651064},
    booktitle = {Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
    articleno = {59},
    numpages = {7},
    location = {Honolulu, HI, USA},
    series = {CHI EA '24}
  }

Paden, J. R., Narechania, A., & Endert, A. (2024). BiasBuzz: Combining Visual Guidance with Haptic Feedback to Increase Awareness of Analytic Behavior during Visual Data Analysis. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24) (Article 59, 7 pages). Association for Computing Machinery. https://doi.org/10.1145/3613905.3651064

2023

Conference Database Systems

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information

Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe. IEEE BigData (MLBD), 2023.

★ Patent

Project DOI PDF Video Talk Slides Code PyPI

@inproceedings{narechania2023datacockpit,
    author = {Narechania, Arpit and Chakraborty, Surya and Agarwal, Shivam and Sinha, Atanu R and Rossi, Ryan A. and Du, Fan and Hoffswell, Jane and Guo, Shunan and Koh, Eunyee and Endert, Alex and Navathe, Shamkant},
    title = {{DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information}},
    year = {2023},
    volume={},
    number={},
    pages={5305-5310},
    booktitle = {2023 IEEE International Conference on Big Data (BigData)},
    doi = {https://doi.org/10.1109/BigData59044.2023.10386133},
    url = {https://doi.org/10.1109/BigData59044.2023.10386133}
}

Narechania, A., Chakraborty, S., Agarwal, S., Sinha, A. R., Rossi, R. A., Du, F., Hoffswell, J., Guo, S., Koh, E., Endert, A., & Navathe, S. (2023). DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. In 2023 IEEE International Conference on Big Data (BigData) (pp. 5305–5310). https://doi.org/10.1109/BigData59044.2023.10386133

Short paper Cartography & GIS

Resiliency: A Consensus Data Binning Method

Arpit Narechania, Alex Endert, Clio Andris. GIScience, 2023.

Project DOI PDF Slides Code npm

@InProceedings{narechania2023resiliency,
    author =	{Narechania, Arpit and Endert, Alex and Andris, Clio},
    title =	{{Resiliency: A Consensus Data Binning Method}},
    booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
    pages =	{55:1--55:7},
    series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
    ISBN =	{978-3-95977-288-4},
    ISSN =	{1868-8969},
    year =	{2023},
    volume =	{277},
    editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
    publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
    address =	{Dagstuhl, Germany},
    URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.55},
    URN =		{urn:nbn:de:0030-drops-189509},
    doi =		{10.4230/LIPIcs.GIScience.2023.55}
}

Narechania, A., Endert, A., & Andris, C. (2023). Resiliency: A Consensus Data Binning Method. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) (Leibniz International Proceedings in Informatics (LIPIcs)) (Vol. 277) (pp. 55:1–55:7). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GIScience.2023.55

Conference Database Systems

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert. ACM CHI, 2023.

★ Patent

Project DOI PDF Video Talk Slides

@inproceedings{narechania2023datapilot,
    author = {Narechania, Arpit and Du, Fan and Sinha, Atanu R and Rossi, Ryan and Hoffswell, Jane and Guo, Shunan and Koh, Eunyee and Navathe, Shamkant B and Endert, Alex},
    title = {{DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation}},
    year = {2023},
    isbn = {9781450394215},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3544548.3581509},
    doi = {10.1145/3544548.3581509},
    booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},
    articleno = {809},
    numpages = {18},
    location = {Hamburg, Germany},
    series = {CHI '23}
  }

Narechania, A., Du, F., Sinha, A. R., Rossi, R., Hoffswell, J., Guo, S., Koh, E., Navathe, S. B., & Endert, A. (2023). DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23) (Article 809, 18 pages). Association for Computing Machinery. https://doi.org/10.1145/3544548.3581509

Poster Cartography & GIS

Exploropleth: A Tour through the Data Binning Zoo for Choropleth Maps

Arpit Narechania, Alex Endert, Clio Andris. CRIDC, 2023.

★ Best Poster Award (EVPR)

Project Poster

@misc{narechania2023exploroplethcridc,
  author = {Narechania, Arpit and Endert, Alex and Andris, Clio},
  title = {{Exploropleth: A Tour through the Data Binning Zoo for Choropleth Maps}},
  year = {2023},
  month = feb,
  howpublished = {Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech},
  note = {Best Poster Award, Executive Vice President for Research}
}

Narechania, A., Endert, A., & Andris, C. (2023). Exploropleth: A Tour through the Data Binning Zoo for Choropleth Maps. Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech. Best Poster Award, Executive Vice President for Research.

2022

Short paper Natural & Explainable Interfaces

Facilitating Conversational Interaction in Natural Language Interfaces for Visualization

Rishab Mitra^*, Arpit Narechania^*, Alex Endert, John Stasko. IEEE VIS, 2022.

^* Equal contribution

Project DOI PDF Talk Slides Demo Code PyPI Website

@article{mitra2022conversational,
    author = {Mitra, Rishab and Narechania, Arpit and Endert, Alex and Stasko, John},
    booktitle = {2022 IEEE Visualization and Visual Analytics (VIS)}, 
    title = {Facilitating Conversational Interaction in Natural Language Interfaces for Visualization}, 
    year = {2022},
    volume = {},
    number = {},
    pages = {6-10},
    doi = {10.1109/VIS54862.2022.00010},
    url = {https://doi.org/10.1109/VIS54862.2022.00010}
}

Mitra, R., Narechania, A., Endert, A., & Stasko, J. (2022). Facilitating Conversational Interaction in Natural Language Interfaces for Visualization. In 2022 IEEE Visualization and Visual Analytics (VIS) (pp. 6–10). https://doi.org/10.1109/VIS54862.2022.00010

Poster Citations & Literature Review

vitaLITy: Promoting Serendipitous Discovery of Academic Literature

Arpit Narechania, Alireza Karduni, Ryan Wesslen, Emily Wall. CRIDC, 2022.

★ Best Poster Award (College of Computing)

Project DOI Poster

@misc{narechania2022vitalitycridc,
  author = {Narechania, Arpit and Karduni, Alireza and Wesslen, Ryan and Wall, Emily},
  title = {{vitaLITy: Promoting Serendipitous Discovery of Academic Literature}},
  year = {2022},
  month = feb,
  howpublished = {Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech},
  note = {Best Poster Award, College of Computing},
  doi = {https://hdl.handle.net/1853/66240},
  url = {https://hdl.handle.net/1853/66240}
}

Narechania, A., Karduni, A., Wesslen, R., & Wall, E. (2022). vitaLITy: Promoting Serendipitous Discovery of Academic Literature. Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech. Best Poster Award, College of Computing. https://hdl.handle.net/1853/66240

Journal Citations & Literature Review

vitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics

Arpit Narechania, Alireza Karduni, Ryan Wesslen, Emily Wall. IEEE TVCG, 2022.

Project DOI PDF Video Talk Slides Poster Demo Dataset Code Website

@article{narechania2021vitality,
    author = {Narechania, Arpit and Karduni, Alireza and Wesslen, Ryan and Wall, Emily},
    title = {{vitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers \& Visual Analytics}},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2022},
    volume = {28},
    number = {1},
    pages = {486-496},
    doi = {10.1109/TVCG.2021.3114820},
    url = {https://doi.org/10.1109/TVCG.2021.3114820},
    publisher = {IEEE}
}

Narechania, A., Karduni, A., Wesslen, R., & Wall, E. (2022). vitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(1), 486–496. https://doi.org/10.1109/TVCG.2021.3114820

Journal Guidance & Analytic Provenance

Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis

Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert. IEEE TVCG, 2022.

Project DOI PDF Video Talk Slides Poster Demo Code Website

@article{narechania2021lumos,
    author = {Narechania, Arpit and Coscia, Adam and Wall, Emily and Endert, Alex},
    title = {{Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis}},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2022},
    volume = {28},
    number = {1},
    pages = {1009-1018},
    doi = {10.1109/TVCG.2021.3114827},
    url = {https://doi.org/10.1109/TVCG.2021.3114827},
    publisher = {IEEE}
}

Narechania, A., Coscia, A., Wall, E., & Endert, A. (2022). Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis. IEEE Transactions on Visualization and Computer Graphics, 28(1), 1009–1018. https://doi.org/10.1109/TVCG.2021.3114827

Journal Guidance & Analytic Provenance

Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases

Emily Wall^*, Arpit Narechania^*, Adam Coscia, Jamal Paden, Alex Endert. IEEE TVCG, 2022.

^* Equal contribution

Project DOI PDF Video Talk

@article{wall2021lrg,
    author = {Wall, Emily and Narechania, Arpit and Coscia, Adam and Paden, Jamal and Endert, Alex},
    title = {{Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases}},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2022},
    volume = {28},
    number = {1},
    pages = {966-975},
    doi = {10.1109/TVCG.2021.3114862},
    url = {https://doi.org/10.1109/TVCG.2021.3114862},
    publisher = {IEEE}
}

Wall, E., Narechania, A., Coscia, A., Paden, J., & Endert, A. (2022). Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases. IEEE Transactions on Visualization and Computer Graphics, 28(1), 966–975. https://doi.org/10.1109/TVCG.2021.3114862

2021

Demo Database Systems

Interactive Demonstration of SQLCHECK

Arthita Ghosh^*, Deven Bansod^*, Arpit Narechania, Prashant Dintyala, Su Timurturkan, Joy Arulraj. PVLDB, 2021.

^* Equal contribution

Project DOI PDF VS Code Extension

@article{ghosh2021sqlcheckdemo,
    author = {Ghosh, Arthita and Bansod, Deven and Narechania, Arpit and Dintyala, Prashanth and Timurturkan, Su and Arulraj, Joy},
    title = {{Interactive demonstration of SQLCheck}},
    year = {2021},
    issue_date = {July 2021},
    publisher = {VLDB Endowment},
    volume = {14},
    number = {12},
    issn = {2150-8097},
    url = {https://doi.org/10.14778/3476311.3476343},
    doi = {10.14778/3476311.3476343},
    journal = {Proc. VLDB Endow.},
    month = jul,
    pages = {2779–2782},
    numpages = {4}}

Ghosh, A., Bansod, D., Narechania, A., Dintyala, P., Timurturkan, S., & Arulraj, J. (2021). Interactive demonstration of SQLCheck. Proceedings of the VLDB Endowment, 14(12), 2779–2782. https://doi.org/10.14778/3476311.3476343

Conference Natural & Explainable Interfaces

DIY: Helping People Assess the Correctness of Natural Language to SQL Systems

Arpit Narechania, Adam Fourney, Bongshin Lee, Gonzalo Ramos. ACM IUI, 2021.

★ Patent

Project DOI PDF Video Talk Slides

@article{narechania2021diy,
    author = {Narechania, Arpit and Fourney, Adam and Lee, Bongshin and Ramos, Gonzalo},
    title = {{DIY: Assessing the Correctness of Natural Language to SQL Systems}},
    year = {2021},
    isbn = {9781450380171},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3397481.3450667},
    doi = {10.1145/3397481.3450667},
    booktitle = {Proceedings of the 26th International Conference on Intelligent User Interfaces},
    pages = {597–607},
    numpages = {11},
    location = {College Station, TX, USA},
    series = {IUI '21}
}

Narechania, A., Fourney, A., Lee, B., & Ramos, G. (2021). DIY: Assessing the Correctness of Natural Language to SQL Systems. In Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI '21) (pp. 597–607). Association for Computing Machinery. https://doi.org/10.1145/3397481.3450667

Dataset Citations & Literature Review

vitaLITy: A Dataset of Academic Articles

Arpit Narechania, Alireza Karduni, Ryan Wesslen, Emily Wall. Figshare, 2021.

Project DOI Dataset

@article{narechania2021vitalitydataset,
    author = "Arpit Narechania and Alireza Karduni and Ryan Wesslen and Emily Wall",
    title = {{VitaLITy: A Dataset of Academic Articles}},
    year = {2021},
    month = {3},
    url = {https://figshare.com/articles/dataset/VitaLITy_A_Dataset_of_Academic_Articles/14329151},
    doi = {10.6084/m9.figshare.14329151.v1}
}

Narechania, A., Karduni, A., Wesslen, R., & Wall, E. (2021). VitaLITy: A Dataset of Academic Articles. https://doi.org/10.6084/m9.figshare.14329151.v1

Journal Automotive Engineering

SafetyLens: Visual Data Analysis of Functional Safety of Vehicles

Arpit Narechania, Ahsan Qamar, Alex Endert. IEEE TVCG, 2021.

Project DOI PDF Talk Slides Demo

@article{narechania2020safetylens,
    author = {Narechania, Arpit and Qamar, Ahsan and Endert, Alex},
    title = {{SafetyLens: Visual Data Analysis of Functional Safety of Vehicles}},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2021},
    volume = {27},
    number = {2},
    pages = {1688-1697},
    publisher = {IEEE},
    doi = {10.1109/TVCG.2020.3030382},
    url = {https://doi.org/10.1109/TVCG.2020.3030382}
}

Narechania, A., Qamar, A., & Endert, A. (2021). SafetyLens: Visual Data Analysis of Functional Safety of Vehicles. IEEE Transactions on Visualization and Computer Graphics, 27(2), 1688–1697. https://doi.org/10.1109/TVCG.2020.3030382

Journal Natural & Explainable Interfaces

NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries

Arpit Narechania^*, Arjun Srinivasan^*, John Stasko. IEEE TVCG, 2021.

^* Equal contribution

Project DOI PDF Video Talk Slides Demo Code PyPI Website

@article{narechania2020nl4dv,
    author = {Narechania, Arpit and Srinivasan, Arjun and Stasko, John},
    title = {{NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries}},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2021},
    volume = {27},
    number = {2},
    pages = {369-379},
    publisher = {IEEE},
    doi = {10.1109/TVCG.2020.3030378},
    url = {https://doi.org/10.1109/TVCG.2020.3030378}
}

Narechania, A., Srinivasan, A., & Stasko, J. (2021). NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries. IEEE Transactions on Visualization and Computer Graphics, 27(2), 369–379. https://doi.org/10.1109/TVCG.2020.3030378

Poster Guidance & Analytic Provenance

Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis

Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert. CRIDC, 2021.

★ Best Poster Award (EVPR)

Project DOI Poster

@misc{narechania2021lumoscridc,
  author = {Narechania, Arpit and Coscia, Adam and Wall, Emily and Endert, Alex},
  title = {{Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis}},
  year = {2021},
  month = feb,
  howpublished = {Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech},
  note = {Best Poster Award, Executive Vice President for Research},
  doi = {https://hdl.handle.net/1853/64385},
  url = {https://hdl.handle.net/1853/64385}
}

Narechania, A., Coscia, A., Wall, E., & Endert, A. (2021). Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis. Poster at the Career, Research, and Innovation Development Conference (CRIDC), Georgia Tech. Best Poster Award, Executive Vice President for Research. https://hdl.handle.net/1853/64385

2020

Conference Database Systems

SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns

Prashanth Dintyala^*, Arpit Narechania^*, Joy Arulraj. ACM SIGMOD, 2020.

^* Equal contribution

Project DOI PDF Talk

@inproceedings{dintyala2020sqlcheck,
    author = {Dintyala, Prashanth and Narechania, Arpit and Arulraj, Joy},
    title = {{SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns}},
    year = {2020},
    isbn = {9781450367356},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3318464.3389754},
    doi = {10.1145/3318464.3389754},
    booktitle = {Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
    pages = {2331–2345},
    numpages = {15},
    location = {Portland, OR, USA},
    series = {SIGMOD '20}
  }

Dintyala, P., Narechania, A., & Arulraj, J. (2020). SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD '20) (pp. 2331–2345). Association for Computing Machinery. https://doi.org/10.1145/3318464.3389754

2019

Journal Automotive Engineering

Understanding Failure Mode Effect Analysis Data using Interactive Visual Analytics

Rahul Basole, Ahsan Qamar, Biswajyoti Pal, Michael Corral, Matthew Meinhart, Arpit Narechania. IEEE CG&A, 2019.

Project DOI Video Demo

@article{basole2019understanding,
    author = {Basole, Rahul C and Qamar, Ahsan and Pal, Biswajyoti and Corral, Michael and Meinhart, Matthew and Narechania, Arpit},
    title = {{Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics}},
    journal = {IEEE Computer Graphics and Applications},
    year = {2019},
    volume = {39},
    number = {6},
    pages = {17-26},
    doi = {10.1109/MCG.2019.2944230},
    url = {https://doi.org/10.1109/MCG.2019.2944230},
    publisher = {IEEE}
}

Basole, R. C., Qamar, A., Pal, B., Corral, M., Meinhart, M., & Narechania, A. (2019). Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics. IEEE Computer Graphics and Applications, 39(6), 17–26. https://doi.org/10.1109/MCG.2019.2944230

Publications

Year

Venue

Visard

Collaborator

Research area

Type

2027

2026

2025

2024

2023

2022

2021

2020

2019