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Journals & Conferences
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Posters & Presentations
Patents
Technical Reports

List of Publications

Journal, Conference, and Symposium Publications:

  1. John Wenskovitch, Corey Fallon, Kate Miller, and Aritra Dasgupta. “Characterizing Interaction Uncertainty in Human-Machine Teams,” in 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS). 2024, pp. 1-6. DOI: 10.1109/ICHMS59971.2024.10555605.
  2. John Wenskovitch, Michelle Dowling, and Chris North. “Towards Addressing Ambiguous Interactions and Inferring User Intent with Dimension Reduction and Clustering Combinations in Visual Analytics,” ACM Transactions on Interactive Intelligent Systems (TiiS), 14(1) (Mar. 2024). DOI: 10.1145/3588565.
  3. John Wenskovitch and Amruta Jaodand. “Human Factors for Machine Learning in Astronomy,” in Human Factors and Simulation. AHFE (2023) International Conference. Vol. 83. AHFE Open Access, AHFE International, USA. 2023. DOI: 10.54941/ahfe1003580.
  4. Alexander Anderson, Brett Jefferson, Slaven Kincic, John Wenskovitch, Corey Fallon, Jessica Baweja, and Yousu Chen. “Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust,” IEEE Access, 11 (2023), pp. 109689-109707 DOI: 10.1109/ACCESS.2023.3322133.
  5. Joseph Schreiber, John Wenskovitch, Janice Belt, Amy O’Donnell, and Debra Wolf. “Clinical Outcomes of an Intensity Program for Children with Movement Challenges,” Pediatric Physical Therapy (2023) DOI: 10.1097/PEP.0000000000001014.
  6. John Wenskovitch, Brett Jefferson, Alexander Anderson, Jessica Baweja, Danielle Ciesielski, and Corey Fallon. “Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis,” Frontiers in Big Data, 5 (2022) DOI: 10.3389/fdata.2022.897295.
  7. John Wenskovitch, Alexander A. Anderson, Slaven Kincic, Corey Fallon, Danielle Ciesielski, Jessica Baweja, Molly C. Mersinger, and Brett Jefferson. “Operator Insights and Usability Evaluation of Machine Learning Assistance for Power Grid Contingency Analysis,” in Human Factors in Energy: Oil, Gas, Nuclear, and Electric Power. AHFE (2022) International Conference. Vol. 54. AHFE Open Access, AHFE International, USA. 2022. DOI: 10.54941/ahfe1002219.
  8. Jesse Harden, Elizabeth Christman, Nurit Kirshenbaum, John Wenskovitch, Jason Leigh, and Chris North. “Exploring Organization of Computational Notebook Cells in 2D Space,” in 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). 2022, pp. 1-6. DOI: 10.1109/VL/HCC53370.2022.9833128.
  9. John Wenskovitch and Chris North. “An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration,” IEEE Transactions on Visualization and Computer Graphics, 27(2) (Feb. 2021), pp. 1742-1752. DOI: 10.1109/TVCG.2020.3028890. Presented at IEEE VIS 2020.
  10. Ming Wang, John Wenskovitch, Leanna House, Nicholas Polys, and Chris North. “Bridging Cognitive Gaps Between User and Model in Interactive Dimension Reduction,” Visual Informatics (2021). DOI: 10.1016/j.visinf.2021.03.002.
  11. Kimberly A. Olszewski, Debra M. Wolf, and John Wenskovitch. “Exploring Occupational Health Professional Understanding and Needs in Regard to Total Worker Health (TWH),” Workplace Health & Safety, 69(7) (2021). PMID: 34034578, pp. 296-305. DOI: 10.1177/2165079921993110.
  12. John Wenskovitch and Chris North. “Interactive Artificial Intelligence: Designing for the ‘Two Black Boxes’ Problem,” Computer, 53(8) (2020), pp. 29-39. DOI: 11.1109/MC.2020.2996416.
  13. John Wenskovitch, Michelle Zhou, Christopher Collins, Remco Chang, Michelle Dowling, Alex Endert, and Kai Xu. “Putting the ‘I’ in Interaction: Interactive Interfaces Personalized to Individuals,” IEEE Computer Graphics and Applications, 40(3) (May 2020), pp. 73-82. DOI: 10.1109/MCG.2020.2982465.
  14. Kai Xu, Alvitta Ottley, Conny Walchshofer, Marc Streit, Remco Chang, and John Wenskovitch. “Survey on the Analysis of User Interactions and Visualization Provenance,” The Eurographics Association and John Wiley & Sons Ltd., 2020. DOI: 10.1111/cgf.14035.
  15. John Wenskovitch, Michelle Dowling, and Chris North. “With Respect to What: Simultaneous Interaction with Dimension Reduction and Clustering Projections,” in Proceedings of the 25th International Conference on Intelligent User Interfaces. IUI’20. Cagliari, Italy: Association for Computing Machinery, 2020, pp. 177-188. DOI: 10.1145/3377325.3377516.
  16. John Wenskovitch and Chris North. “Pollux: Interactive Cluster-First Projections of High-Dimensional Data,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, Oct. 2019, pp. 38-47. DOI: 10.1109/VDS48975.2019.8973381.
  17. John Wenskovitch, Jian Zhao, Scott Carter, Matthew Cooper, and Chris North. “Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, Oct. 2019, pp. 1-10. DOI: 10.1109/VDS48975.2019.8973385.
  18. Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, and Robert S. Laramee. “A Provenance Task Abstraction Framework,” Computer Graphics & Applications (2019), pp. 1–15. DOI: 10.1109/MCG.2019.2945720.
  19. Moeti M. Masiane, Anne Driscoll, Wu-chun Feng, John Wenskovitch, and Chris North. “Towards Insight-Driven Sampling for Big Data Visualization,” Behaviour & Information Technology (2019), pp. 1–20. DOI: 10.1080/0144929X.2019.1616223.
  20. Michelle Dowling, Nathan Wycoff, Brian Mayer, John Wenskovitch, Scotland Leman, Leanna House, Nicholas Polys, Chris North, and Peter Hauck. “Interactive Visual Analytics for Sensemaking with Big Text,” Big Data Research, 16 (July 2019), pp. 49–58. DOI: 10.1016/j.bdr.2019.04.003.
  21. Michelle Dowling, John Wenskovitch, J.T. Fry, Scotland Leman, Leanna House, and Chris North. “SIRIUS: Dual, Symmetric, Interactive Dimension Reductions,” IEEE Transactions on Visualization and Computer Graphics, 25(1) (Jan. 2019), pp. 172–182. DOI: 10.1109/TVCG.2018.2865047. Presented at IEEE VIS (VAST) 2018.
  22. John Wenskovitch, Lauren Bradel, Michelle Dowling, Leanna House, and Chris North. “The Effect of Semantic Interaction on Foraging in Text Analysis,” in 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). Oct. 2018, pp. 13–24. DOI: 10.1109/VAST.2018.8802424.
  23. Jessica Zeitz Self, Michelle Dowling, John Wenskovitch, Ian Crandell, Ming Wang, Leanna House, Scotland Leman, and Chris North. “Observation-Level and Parametric Interaction for High-Dimensional Data Analysis,” ACM Transactions on Interactive Intelligent Systems (TiiS), 8(2) (June 2018), 15:1–15:36. DOI: 10.1145/3158230.
  24. Xin Chen, Jessica Zeitz Self, Leanna House, John Wenskovitch, Maoyuan Sun, Nathan Wycoff, Jane Robertson Evia, Scotland Leman, and Chris North. “Be the Data: Embodied Visual Analytics,” IEEE Transactions on Learning Technologies, 11(1) (Jan. 2018), pp. 81–95. DOI: 10.1109/TLT.2017.2757481.
  25. John Wenskovitch, Ian Crandell, Naren Ramakrishnan, Leanna House, Scotland Leman, and Chris North. “Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, 24(1) (Jan. 2018), pp. 131–141. DOI: 10.1109/TVCG.2017.2745258. Presented at IEEE VIS (VAST) 2017.
  26. John Wenskovitch, James C. Lombardi, and Roger W. M. Hatfull. “FluxE: Exploring Flux in Astrophysical Simulations,” in SIGGRAPH ASIA 2016 Symposium on Visualization. SA ’16. Macau: ACM, 2016, 15:1–15:8. DOI: 10.1145/3002151.3002154.
  27. Debra M. Wolf, John Wenskovitch, and Bonnie B. Anton. “Nurses’ Use of the Internet and Social Media: Does Age, Years of Experience and Educational Level Make a Difference?” Journal of Nursing Education and Practice, 6(2) (2016), pp. 68–75. DOI: 10.5430/jnep.v6n2p68.
  28. John Wenskovitch, Leonard A. Harris, Jose-Juan Tapia, James R. Faeder, and G. Elisabeta Marai. “MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models,” BMC Bioinformatics, 15(1) (2014), pp. 316–331. DOI: 10.1186/1471-2105-15-316.
  29. Timothy Luciani, John Wenskovitch, Koonwah Chen, David Koes, Timothy Travers, and G. Elisabeta Marai. “FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families,” BMC Proceedings, 8(2) (2014), S3. DOI: 10.1186/1753-6561-8-S2-S3.
  30. Chad Rittle, Yolanda C. Lang, and John Wenskovitch. “Tdap: The Need to Educate and Immunize,” Workplace Health & Safety, 62(11) (2014), pp. 468–475. DOI: 10.3928/21650799-20140909-01.
  31. Debra M. Wolf, Bonnie B. Anton, and John Wenskovitch. “Promoting Health and Safety Virtually: Key Recommendations for Occupational Health Nurses,” Workplace Health & Safety, 62(7) (2014), pp. 302–306.
  32. Debra M. Wolf, Bonnie B. Anton, and John Wenskovitch. “Using Nurse Survey Data to Empower Patients,” Journal of Healthcare Information Management, 28(1) (2014), pp. 58–65.
  33. John Wenskovitch, Tim Luciani, Koonwah Chen, and G. Elisabeta Marai. “Fixing TIM: Identifying Functional Mutations in Protein Families through the Interactive Exploration of Sequence and Structural Data,” in BioVis 2013 Data Contest. BioVis ’13. Atlanta, GA, 2013. [Vis Experts’ Pick for Best Contest Submission].

Peer-Reviewed Workshop Publications:

  1. Jesse Harden, April Yi Wang, Rebecca Faust, Katherine E. Isaacs, Nurit Kirshenbaum, John Wenskovitch, Jian Zhao, and Chris North. “Human-Notebook Interactions: The CHI of Computational Notebooks,” in Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. CHI EA’24. Honolulu, HI, USA: Association for Computing Machinery, 2024. DOI: 10.1145/3613905.3636318.
  2. John Wenskovitch, Corey Fallon, Kate Miller, and Aritra Dasgupta. “Beyond Visual Analytics: Human-Machine Teaming for AI-Driven Sensemaking,” in Proceedings of the IEEE VIS Workshop on Trust and Expertise in Visual Analytics (TREX). TREX’219. 2021, pp. 40-44. DOI: 10.1109/TREX53765.2021.00012.
  3. Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Chris North, and B. Aditya Prakash. “NetReAct: Interactive Learning for Network Summarization,” in Proceedings of the NeurIPS 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies (HAMLETS). NeurIPS’20. 2020.
  4. John Wenskovitch and Chris North. “The Two Black Box Problem: Human-Machine Co-Learning,” in Proceedings of the ACM CHI Conference Workshop Artificial Intelligence for HCI: A Modern Approach. CHI’20. Honolulu, HI, 2020.
  5. John Wenskovitch, Michelle Dowling, Laura Grose, Chris North, Remco Chang, Alex Endert, and David H. Rogers. “Machine Learning from User Interaction for Visualization and Analytics: A Workshop-Generated Research Agenda,” in Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Vancouver, BC, Canada, 2019, pp. 1-9. DOI: 10.1109/MLUI52769.2019.10075560.
  6. Yali Bian, John Wenskovitch, and Chris North. “DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning,” in Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Vancouver, BC, Canada, 2019, pp. 1-10. DOI: 10.1109/MLUI52769.2019.10075565.
  7. John Wenskovitch and Chris North. “Machine Learning from Interaction in Multi-Model Visual Analytics,” in Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives. CHI’19. Glasgow, UK, 2019.
  8. Michelle Dowling, John Wenskovitch, Peter Hauck, Adam Binford, Nicholas Polys, and Chris North. “A Bidirectional Pipeline for Semantic Interaction,” in Proceedings of the IEEE VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. VIS’18. Berlin, Germany, 2018, pp. 1-11. DOI: 10.1109/MLUI52768.2018.10075562. (Supplementary Material)
  9. John Wenskovitch, Michelle Dowling, and Chris North. “The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking,” in Proceedings of the ACM CHI Workshop on Sensemaking in a Senseless World. CHI’18. Montreal, QC, Canada, 2018.
  10. John Wenskovitch and Chris North. “Observation-Level Interaction with Clustering and Dimension Reduction Algorithms,” in Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. HILDA’17. Chicago, IL, USA: ACM, 2017, 14:1–14:6. DOI: 10.1145/3077257.3077259.

Peer-Reviewed Conference Posters and Presentation Abstracts:

  1. John Wenskovitch. “Insufficient Pixel Count: Using Astronomical Data Scales to Drive Visualization Advances,” in 246th Meeting of the American Astronomical Society. AAS 246. Anchorage, Alaska, 2025. DOI: 10.5281/zenodo.15850954.
  2. Myles Mason, John Wenskovitch, D. Sarah Stamps, and Joshua Robert Jones. “Volcanic Activity Detection and Noise Characterization using Machine Learning,” in 2021 EarthCube Annual Meeting. EarthCube’21. Virtual Meeting, 2019.
  3. Kimberly Olszewski, Debra Wolf, and John Wenskovitch. “Exploring Occupational Health Nurse’s Understanding and Needs in Regard to Total Worker Health (TWH),” in Expanding Occupational Safety and Health: An International Conference. Ex4OSH’21. Virtual Meeting, 2021.
  4. John Wenskovitch and Byron Rich. “Pulsar to Person (P2P): Data Visualization and Sonification to Experience the Universe,” in European Week of Astronomy and Space Science 2019. EWASS’19. Lyon, France, 2019.
  5. Lata Kodali, John Wenskovitch, Nathan Wycoff, Leanna House, and Chris North. “Uncertainty in Interactive WMDS Visualizations,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, 2019.
  6. John Wenskovitch, Michelle Dowling, and Chris North. “Simultaneous Interaction with Dimension Reduction and Clustering Projections,” in Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. IUI ’19. Marina del Rey, California: ACM, 2019, pp. 89–90. DOI: 10.1145/3308557.3308718.
  7. John Wenskovitch. “Dimension Reduction and Clustering Algorithm Combinations for Exploratory Data Analysis,” in 2018 IEEE VIS Doctoral Colloquium Compendium. Berlin, Germany, 2018.
  8. Byron Rich and John Wenskovitch. “Embodied Astronomical Phenomenon: Using Art to Access Astronomy,” in European Week of Astronomy and Space Science 2018. EWASS’18. Liverpool, UK, 2018.
  9. John Wenskovitch and Chris North. “Visual Analytics and Semantic Interaction to Explore Astronomical Data,” in European Week of Astronomy and Space Science 2018. EWASS’18. Liverpool, UK, 2018.
  10. Kimberly Olszewski, John Wenskovitch, and Debra Wolf. “Preparing for the Future: Where Are You with Total Worker Health?” in 2018 NSC Congress & Expo. Houston, TX, 2018.
  11. Kimberly Olszewski, Debra Wolf, and John Wenskovitch. “Total Worker Health…. Where are we? Where do we need to be?” in AAOHN 2018 National Conference. Reno, NV, 2018.
  12. John Wenskovitch, James C. Lombardi Jr., and Roger W.M. Hatfull. “A Computer Science Perspective on the Astronomy Research Software Process,” in European Week of Astronomy and Space Science (EWASS) 2017. Prague, Czechia, 2017.
  13. Debra Wolf, Bonnie Anton, and John Wenskovitch. “Empowering Patients to Use the WWW Safely to Make Decisions Regarding Their Health,” in 18th International Conference on Nursing and Healthcare. Irving, TX, 2016.
  14. John Wenskovitch, Leonard Harris, James Faeder, and G. Elisabeta Marai. “A Journaling System for Rule-Based Biochemical Models,” in IEEE BioVis Poster Abstracts with System Demonstration. Atlanta, GA, 2013.
  15. Scott Rothenberger, John Wenskovitch, and G. Elisabeta Marai. “Pexel and Heatmap Visual Analysis of Multidimensional Gun/Homicide Data,” in IEEE Visualization VAST Poster Compendium. Providence, RI, 2011, pp. 297–298. DOI: 10.1109/VAST.2011.6102482.

Patents:

  1. John Wenskovitch, Jian Zhao, Scott Carter, and Matthew Cooper. “System and Method for a Computational Notebook Interface.” U.S. pat. 10768904. Fuji Xerox Co., Ltd., Minato City, Tokyo, Japan. Sept. 8, 2020.

Technical Reports:

  1. Alexander Anderson, Slaven Kincic, Brett Jefferson, Blaine Mcgary, Corey Fallon, Danielle Ciesielski, John Wenskovitch, and Yousu Chen. “A Real-Time Operations Manual for the IEEE 118 Bus Transmission Model,” Technical Report. Pacific Northwest National Laboratory, Sept. 2022. DOI: 10.2172/1922917.
  2. Michelle Dowling, John Wenskovitch, Peter Hauck, Adam Binford, Theo Long, Nicholas Polys, and Chris North. “Construction and Usage of the Semantic Interaction Pipeline,” Technical Report. Blacksburg, VA: Department of Computer Science, Virginia Tech, 2018.
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