Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis-Reference-Cited by-同舟云学术

Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:The 35th Annual ACM Symposium on User Interface Software and Technology
language:
Short-container-title:

Author:

Hong Matt-Heun¹,Marsh Lauren A.²,Feuston Jessica L.³,Ruppert Janet³,Brubaker Jed R.³,Szafir Danielle Albers⁴

Affiliation:

1. ATLAS Institute, University of Colorado Boulder, United States

2. Applied Mathematics, University of Colorado Boulder, United States

3. Information Science, University of Colorado Boulder, United States

4. Computer Science, University of North Carolina at Chapel Hill, United States

Funder

National Science Foundation

Publisher

ACM

Reference51 articles.

1. Eric Alexander , Joe Kohlmann , Robin Valenza , Michael Witmore , and Michael Gleicher . 2015 . Serendip: Topic model-driven visual exploration of text corpora . In 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings. 173–182 . https://doi.org/10.1109/VAST.2014.7042493 10.1109/VAST.2014.7042493 Eric Alexander, Joe Kohlmann, Robin Valenza, Michael Witmore, and Michael Gleicher. 2015. Serendip: Topic model-driven visual exploration of text corpora. In 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings. 173–182. https://doi.org/10.1109/VAST.2014.7042493

2. D Auber C Huet A Lambert and A Sallaberry. 2011. Geographical treemaps. Not yet publishedMarch(2011). http://www.labri.fr/perso/auber/download/paper_TVCG/docPourTVCG/InfoVisVersion.pdf D Auber C Huet A Lambert and A Sallaberry. 2011. Geographical treemaps. Not yet publishedMarch(2011). http://www.labri.fr/perso/auber/download/paper_TVCG/docPourTVCG/InfoVisVersion.pdf

3. Toward human-centered algorithm design

4. Eric P S Baumer David Mimno Shion Guha Emily Quan and Geri K Gay. 2017. Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?Journal of the Association for Information Science and Technology 68 6(2017) 1397-1410. https://doi.org/10.1002/asi.23786 10.1002/asi.23786

5. Eric P S Baumer David Mimno Shion Guha Emily Quan and Geri K Gay. 2017. Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?Journal of the Association for Information Science and Technology 68 6(2017) 1397-1410. https://doi.org/10.1002/asi.23786

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Bridging the Integrity Gap: Towards AI-assisted Design Research;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization;Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18