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Steven M. Drucker

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Steven Mark Drucker is an American computer scientist who studies how to help people understand data, and communicate their insights to others. He is a partner at Microsoft Research, where he also serves as the research manager of the VIDA (Visualization and Data Analysis) group.[1] Drucker is an affiliate professor at the University of Washington Computer Science and Engineering Department.[2]

Education

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Drucker received his Ph.D. from the Computer Graphics and Animation Group at the MIT Media Lab in May 1994,[3] where he studied improvements to controlling cameras in synthetic environments.[4] He graduated Magna Cum Laude with Honors in Neurosciences from Brown University, and earned his Master's degree in robot learning at the MIT Artificial Intelligence Laboratory.

Scientific contributions

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Drucker developed the SandDance system for information visualization.[5] SandDance provides a web interface to explore, animate, and communicate insights into complex datasets. The system is designed to facilitate discovery of patterns and trends in data by displaying it in ways that complement the pattern-finding systems in the human visual system.[6]

Drucker contributed to the growth of e-sports by designing a robust system that allows spectators to enjoy watching others play competitive video games.[7] His related work on automatic camera control leveraged decades of art and experience in video and film to create engaging, real-time choices for camera placement and motion in any synthetic environment, such as video games.[8][9]

Drucker has participated in the development of multiple systems designed to help understand the results of machine learning algorithms by using novel visualizations.[10][11][12]

Drucker has helped to develop visualization tools for a wide variety of applications, such as interpreting data in virtual reality,[13] filtering trajectories in virtual reality,[14] and pen-and-touch interfaces.[15]

Recognition

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  • ACM SIGCHI CHI Academy[16]
  • Papers Chair for ACM SIGCHI 2022[17]
  • Papers Chair for ACM SIGCHI 2021[18]

References

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  1. ^ "Steven M. Drucker". Microsoft Research. Microsoft. Retrieved 5 October 2021.
  2. ^ "Affiliate Faculty, Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu/people/faculty/affiliate. Retrieved 5 October 2021.
  3. ^ "MIT Media Lab Alumni". www.media.mit.edu/people/alumni/. Retrieved 6 October 2021.
  4. ^ Drucker, Steven M. (1988). Task-level robot learning on a complex task. MIT Libraries (Thesis). hdl:1721.1/13661. Retrieved 6 October 2021.
  5. ^ Park, D.; Drucker, S. M.; Fernandez, R.; Elmqvist, N. (December 2018). "Atom: A grammar for unit visualizations. IEEE transactions on visualization and computer graphics". IEEE Transactions on Visualization and Computer Graphics. 24 (12): 3032–3043. doi:10.1109/TVCG.2017.2785807. PMC 6995670. PMID 29990044.
  6. ^ Drucker, Steven; Fernandez, Roland (2015). "A unifying framework for animated and interactive unit visualizations". Microsoft Research Technical Report.
  7. ^ Drucker, Steven; He, Li-Wei; Cohen, Michael; Wong, Curtis; Gupta, Anoop (January 2003). "Spectator Games: A New Entertainment Modality For Networked Multiplayer Games". Microsoft Research Technical Report. MSR-TR-2003-105.
  8. ^ Drucker, Steven M.; Galyean, Tinsley A.; Zeltzer, David (1992). "CINEMA: A system for procedural camera movements". Proceedings of the 1992 symposium on Interactive 3D graphics - SI3D '92. pp. 67–70. doi:10.1145/147156.147166. ISBN 0897914678. S2CID 417992.
  9. ^ Drucker, Steven M.; Zeltzer, David (1992). "Intelligent camera control in a virtual environment". Graphics Interface: 190–195.
  10. ^ Amershi, Saleema; Chickering, Max; Drucker, Steven M.; Lee, Bongshin; Simard, Patrice; Suh, Jina (2015). "Modeltracker: Redesigning performance analysis tools for machine learning". Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems: 337–346.
  11. ^ Hohman, Fred; Head, Andrew; Caruana, Rich; DeLine, Rob; Drucker, Steven (2019). "Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.
  12. ^ Hohman, Fred; Srinivasan, Arjun; Drucker, Steven M.. (2019). "TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning". IEEE Transactions on Visualization and Computer Graphics.
  13. ^ Lee, Benjamin; Brown, Dave; Lee, Bongshin; Hurter, Christophe; Drucker, Steven; Dwyer, Tim (2021). "Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality". IEEE Transactions on Visualization and Computer Graphics. 27 (2): 1095–1105. arXiv:2009.00059. doi:10.1109/TVCG.2020.3030435. PMID 33074821. S2CID 221397284.
  14. ^ Hunter, C.; Riche, N.H.; Drucker, S.M.; Cordell, M.; Alligier, R.; Vuillemot, R. (2011). "Fiberclay: Sculpting three dimensional trajectories to reveal structural insights". In IFIP Conference on Human-Computer Interaction: 187–203.
  15. ^ Zgraggen, Emanuel; Fisher, Danyel; Drucker, Steven M. (2014). "PanoramicData: Data analysis through pen & touch". IEEE Transactions on Visualization and Computer Graphics. 20 (12): 2112–2121. doi:10.1109/TVCG.2014.2346293. PMID 26356925. S2CID 9416838.
  16. ^ "SIGCHI 2020 Award Recipients". ACM SIGCHI 2021. Retrieved 6 October 2021.
  17. ^ "ACM SIGCHI 2022". ACM SIGCHI 2022. Retrieved 6 October 2021.
  18. ^ "CHI 2021 Organizing Committee". ACM SIGCHI 2021. Retrieved 6 October 2021.
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