Zoya Bylinskii's page

Zoya Bylinskii
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Research Scientist @ Adobe

Zoya Bylinskii, Ph.D., is a Research Scientist in the Creative Intelligence Lab at Adobe Research as of 2018. Previously, she was an affiliate at the Massachusetts Institute of Technology (2021) and the Harvard Institute of Applied Computational Science (2019-2020). Zoya received her Computer Science Ph.D. and M.Sc. from MIT in 2018 and 2015, respectively, and an Hon. B.Sc. in Computer Science and Statistics, with a focus on Artificial Intelligence, from the University of Toronto in 2012. Zoya is a 2018 EECS Rising Star, 2016 Adobe Research Fellow, 2014-2016 NSERC Postgraduate Scholar, 2013 Julie Payette Research Scholar, and 2011 Anita Borg Scholar. In 2021-2022, Zoya and her collaborators have received a number of recognitions for their efforts on personalized reading (read more). Zoya works at the interface of human perception & cognition, artificial intelligence (machine learning), and human-computer interaction -- with applications to photography, graphic design, and readability.

My MIT page contains my research and activities prior to 2018.

News & Blogs



June 23, 2022: Read about our work on "Letting machine learning choose the right font for everyone" on the Adobe blog, about our recent paper published in DIS'22.

Adobe Readability presents at Skoll 2022
Adobe Readability presents at Skoll 2022

February 15, 2022: The Readability Consortium forms between Adobe, Google, UCF, and Readability Matters to improve reading for all. See announcements by: Adobe, AiThority, Readability Matters, UCF, UserTesting.

Adobe Readability presents at Skoll 2022

October 19, 2021: UserTesting recognizes Adobe's Readability Initiative with the Distinguished Luminary Award. Read more about our Readability Initative on the Adobe Blog and on the Adobe Research blog.

Adobe Readability receives UserTesting Illumi award 2021

September 2021: I am awarded Adobe's Q3 DME Impact Award and am featured by the Women at Adobe Leadership Program for my leadership on the Readability Initiative.

Adobe Readability receives UserTesting Illumi award 2021

May 4, 2021: FastCompany recognizes our Adobe Readability initiative as a finalist in both the Education and Software categories for the World Changing Ideas Awards 2021.

Adobe Readability finalist in FastCompany's Education and Software World Changing Ideas 2021

April 30, 2021: "Fascinating study shows how we perceive visualizations": A Garcia Media blog post about my seminar.

Fascinating study shows how we perceive visualizations

March 20, 2021: "A Collaborative Interdisciplinary Readability Research Approach": A Readability Matters blog post about our research community.

A Collaborative Interdisciplinary Readability Research Approach

March 3, 2020: "Readability Features & Technology for Better Reading": Our blog post @ World Education about our readability research.

worldEd-blog

January 23, 2020: "What eye tracking can tell you about visualizations (and other images)": An invited blog post as part of the "Multive Views" series.

MV-blog

January 13, 2020: "Look Here: Researcher Predicts What Attracts Attention in Photos and Designs": An Adobe Research blog post about my visual attention research work at Adobe.

Look Here: Researcher Predicts What Attracts Attention in Photos and Designs

October 20, 2020: Impact of our Readability research on Adobe Document Cloud: Adobe and Partners Enhance Reading Experiences

Impact of our Readability research on Adobe Document Cloud

Activities



Talks


July 14, 2022: Invited talk at MLOps: Machine Learning in Production on "Perception & Cognition Insights for ML".

April 25, 2022: Invited talk at the Columbia School of Journalism on "Perception and Cognition Insights for Designing Effective Visualizations".

April 14, 2022: Invited talk at NYU for CS-GY Course on Information Visualization on "Perception & Cognition of/for Visualizations", hosted by Qi Sun.

January 14, 2022: Invited talk at Stanford HCI Seminar on "Why does where people look matter? Applications of visual attention modeling" (recording).

December 13, 2021: Invited talk at CVPR SVRHM workshop on "Why does where people look matter? New trends and applications of visual attention modeling" (recording).

June 25, 2021: Invited talk at Chart Question Answering Workshop at CVPR 2021 on "Computational Visualization Understanding" (recording).

June 10, 2021: Keynote talk at CMCL 2021 on "The Importance of Individualized Text Formats for Readability".

April 29, 2021: Talk at the Florida Literacy Conference on "Readability Research: An Interdisciplinary Approach" (blog post by Readability Matters).

April 26, 2021: Invited talk at the Columbia School of Journalism on "Perception and Cognition Insights for Designing Effective Visualizations" (blog post by Mario Garcia).

February 23, 2021: Keynote talk at EU HumaneAI on "Computational Memorability: A Survey" (recording).

January 22, 2021: Course seminar at MIT on "Using AI in the service of Graphic Design" (recording).

May 23, 2019: Invited talk at Re-Work Deep Learning Summit on "Predicting What Drives Human Attention in Photographs, Visualizations, and Graphic Designs" (recording).

May 14, 2019: Invited talk at Attention workshop as part of The Web Conference on "Crowdsourcing Attention for Graphic Designs".

April 14, 2019: Invited talk at the New England Symposium on Graphics at MIT on “How interfaces for capturing human attention can help us debug graphic designs”.

October 29, 2018: Harvard IACS invited seminar on "Computational Perceptions with Applications to Graphic Design" (recording).

Conversations


October 27, 2022: Invited panelist at PageBreak Conference to talk about readability and the future of A.I. in personalized reading.

August 2, 2022: Podcast guest on the Creative Educator Podcast talking about "Reinventing How We Read" (episode).

May 11, 2022: Panel for Adobe India's celebration of National Technology Day on "An Integrated Approach in Ccience and Technology for a Sustainable Future".

January 12, 2022: Panel on Research Internships at Adobe.

October 27, 2021: Adobe MAX Session on "One Font Doesn’t Fit All: Type Design and Comprehension" (recording).

February 19, 2021: Interview with MITxHarvard Women in AI (recording).



Patents


Automatic generation of layout variations based on visual flow.
AK Bedi, D Kaur, S Jain, Z Bylinskii. US Patent App. 17/068,623

Parsing and reflowing infographics using structured lists and groups.
S Shekhar, Z Bylinskii, T Gurjar, R Chaudhry, A Goyal. US Patent App. 16/929,903

Systems and methods of learning visual importance for graphic design and data visualization.
Z Bylinskii, A Hertzmann, B Russell. US Patent 11,189,066

Attention-driven image manipulation.
YA Mejjati, Z Bylinskii, E Shechtman. US Patent 11,138,693



Service


Academic:

July 2022-Feb 2023: Paper Chair for ETRA 2023.

Sept 2022-Jan 2023: Area Chair for CHI 2023.

Sept 2021-Sept 2023: Member of ACM/IEEE/AAAI HCI subcommittee to design the next decade of computer science accreditation guidelines.

Dec 2021-June 2022: Workshop Chair for ETVIS 2022.

Dec 2021-Apr 2022: Area Chair for ETRA 2022.

Apr-June, 2021: Area Chair for UIST 2021.

May 14, 2021: Workshop Chair for EMICS at CHI'21.

Dec-Feb, 2020: Area Chair for CVPR 2021.

Apr-June, 2020: Area Chair for UIST 2020.

Apr-July, 2020: Area Chair for IEEE VIS 2020.

Invited reviewer: ECCV, CVPR, ICCV, CHI, UIST, InfoVis, TVCG, TOG, CSCW, Perception, MobileCHI, TOCHI, ETRA, Eurographics, Cognition, SIGGRAPH, Computer Vision and Image Understanding, IEEE Virtual Reality, International Journal of Computer Vision, Vision Research, Pattern Recognition Letters, Journal of Vision, Eurovision, IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Computational Imaging, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Multimedia, IEEE Trans. on Circuits and Systems for Video Technology

Industry:

I co-founded and run Adobe’s Perception & Cognitive A.I. Seminar Series (since November 2020), to bring interdisciplinary perspectives and insights from psychology, neuroscience, and cognitive science to the industry.

I am head of Adobe's Research Intern Core Team, responsible for research intern programming (2021-2022); and member of the Intern Core Team (2020-2021).

I served on Adobe's Patent Review Committee (2020-2022).

Research Projects



Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability
Tianyuan Cai, Shaun Wallace, Tina Rezvanian, Jonathan Dobres, Bernard Kerr, Samuel Berlow, Jeff Huang, Ben D. Sawyer, Zoya Bylinskii
ACM DIS 2022

PDF Video Code Bibtex

@inproceedings{cai2022personalized,
  title={Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability},
  author={Cai, Tianyuan and Wallace, Shaun and Rezvanian, Tina and Dobres, Jonathan and Kerr, Bernard and Berlow, Samuel and Huang, Jeff and Sawyer, Ben D and Bylinskii, Zoya},
  booktitle={Designing Interactive Systems Conference},
  pages={1--25},
  year={2022}
}
              


Towards Better User Studies in Computer Graphics and Vision
Zoya Bylinskii, Laura Herman, Aaron Hertzmann, Stefanie Hutka, Yile Zhang
(under Review)

PDF Bibtex

@article{ux4graphics,
  title={Towards Better User Studies in Computer Graphics and Vision},
  author={Bylinskii, Zoya and Herman, Laura and Hertzmann, Aaron and Hutka, Stefanie and Zhang, Yile},
  journal={arXiv preprint arXiv:2206.11461},
  year={2022}
}
                


Readability Research: An Interdisciplinary Approach

Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals
Shaun Wallace, Zoya Bylinskii, Jonathan Dobres, Bernard Kerr, Sam Berlow, Rick Treitman, Nirmal Kumawat, Kathleen Arpin, Dave B Miller, Jeff Huang, Ben D Sawyer
ACM TOCHI 2022

PDF Video Code,Data,Materials Bibtex

@article{wallace2022towards,
  title={Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals},
  author={Wallace, Shaun and Bylinskii, Zoya and Dobres, Jonathan and Kerr, Bernard and Berlow, Sam and Treitman, Rick and Kumawat, Nirmal and Arpin, Kathleen and Miller, Dave B and Huang, Jeff and others},
  journal={ACM Transactions on Computer-Human Interaction (TOCHI)},
  volume={29},
  number={4},
  pages={1--56},
  year={2022},
  publisher={ACM New York, NY}
}
              

Media: NNgroup FastCompany



Larger visual changes compress time: The inverted effect of asemantic visual features on interval time perception
Sandra Malpica, Belen Masia, Laura Herman, Gordon Wetzstein, David Eagleman, Diego Gutierrez, Zoya Bylinskii, Qi Sun
PloS one 2022

Paper Abstract Video Poster Bibtex

@article{malpica2022larger,
  title={Larger visual changes compress time: The inverted effect of asemantic visual features on interval time perception},
  author={Malpica, Sandra and Masia, Belen and Herman, Laura and Wetzstein, Gordon and Eagleman, David M and Gutierrez, Diego and Bylinskii, Zoya and Sun, Qi},
  journal={PloS one},
  volume={17},
  number={3},
  pages={e0265591},
  year={2022},
  publisher={Public Library of Science San Francisco, CA USA}
}
                


Has half the time passed? Investigating time perception at long time scales

Memorability: An image-computable measure of information utility
Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva
Book chapter: in Human Perception of Visual Information 2022

PDF Bibtex

@incollection{bylinskii2022memorability,
  title={Memorability: An image-computable measure of information utility},
  author={Bylinskii, Zoya and Goetschalckx, Lore and Newman, Anelise and Oliva, Aude},
  booktitle={Human Perception of Visual Information},
  pages={207--239},
  year={2022},
  publisher={Springer}
}
                



KDSalBox: A toolbox of efficient knowledge-distilled saliency models
Ard Kastrati, Zoya Bylinskii, Eli Shechtman
SVRHM Workshop at NeurIPS 2021

PDF Code Bibtex

@inproceedings{kastrati2021kdsalbox,
  title={KDSalBox: A toolbox of efficient knowledge-distilled saliency models},
  author={Kastrati, Ard and Bylinskii, Zoya and Shechtman, Eli},
  booktitle={SVRHM 2021 Workshop@ NeurIPS},
  year={2021}
}
                



Readability Research: An Interdisciplinary Approach
Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe
(under Review)

PDF Bibtex

@article{beier2021readability,
  title={Readability Research: An Interdisciplinary Approach},
  author={Beier, Sofie and Berlow, Sam and Boucaud, Esat and Bylinskii, Zoya and Cai, Tianyuan and Cohn, Jenae and Crowley, Kathy and Day, Stephanie L and Dingler, Tilman and Dobres, Jonathan and others},
  journal={arXiv preprint arXiv:2107.09615},
  year={2021}
}
              


Readability Research: An Interdisciplinary Approach

Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow
Nicole Sultanum, Fanny Chevalier, Zoya Bylinskii, Zhicheng Liu
CHI 2021

PDF Video Demo Bibtex

@inproceedings{sultanum2021leveraging,
  title={Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow},
  author={Sultanum, Nicole and Chevalier, Fanny and Bylinskii, Zoya and Liu, Zhicheng},
  booktitle={Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages={1--17},
  year={2021}
}
              


Leveraging Text-Chart Links to Support Authoring of Data-Driven Articles with VizFlow

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection
Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adria Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Fredo Durand, Hanspeter Pfister
PacificVis 2021

PDF Website Code+Data Bibtex

@inproceedings{madan2021parsing,
  title={Parsing and Summarizing Infographics with Synthetically Trained Icon Detection},
  author={Madan, Spandan and Bylinskii, Zoya and Nobre, Carolina and Tancik, Matthew and Recasens, Adria and Zhong, Kimberli and Alsheikh, Sami and Oliva, Aude and Durand, Fredo and Pfister, Hanspeter},
  booktitle={2021 IEEE 14th Pacific Visualization Symposium (PacificVis)},
  pages={31--40},
  year={2021},
  organization={IEEE}
}
                


Parsing and Summarizing Infographics with Synthetically Trained Icon Detection

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews
Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler
CHI EA 2021

PDF Teaser Video Bibtex

@inproceedings{srivastava2021mitigating,
  title={Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews},
  author={Srivastava, Namrata and Jain, Rajiv and Healey, Jennifer and Bylinskii, Zoya and Dingler, Tilman},
  booktitle={Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems},
  year={2021}
}
                  


Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews

Look here! A parametric learning based approach to redirect visual attention
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
ECCV 2020

PDF Website Video Code Bibtex

@inproceedings{mejjati2020look,
  title={Look here! A parametric learning based approach to redirect visual attention},
  author={Mejjati, Youssef A and Gomez, Celso F and Kim, Kwang In and Shechtman, Eli and Bylinskii, Zoya},
  booktitle={European Conference on Computer Vision},
  pages={343--361},
  year={2020},
  organization={Springer}
}
                  


Look here! A parametric learning based approach to redirect visual attention

Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness
Shaun Wallace, Rick Treitman, Jeff Huang, Ben D Sawyer, Zoya Bylinskii
CHI EA 2020

PDF Website Video Bibtex

  @inproceedings{wallace2020accelerating,
    title={Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness},
    author={Wallace, Shaun and Treitman, Rick and Huang, Jeff and Sawyer, Ben D and Bylinskii, Zoya},
    booktitle={Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems},
    pages={1--9},
    year={2020}
  }
                    


Accelerating Adult Readers with Typeface: A Study of Individual Preferences and Effectiveness

Toward Quantifying Ambiguities in Artistic Images
Xi Wang, Zoya Bylinskii, Aaron Hertzmann, Robert Pepperell
ACM Transactions on Applied Perception 2020

PDF Website Video Poster Bibtex

@article{wang2020toward,
  title={Toward Quantifying Ambiguities in Artistic Images},
  author={Wang, Xi and Bylinskii, Zoya and Hertzmann, Aaron and Pepperell, Robert},
  journal={ACM Transactions on Applied Perception (TAP)},
  volume={17},
  number={4},
  pages={1--10},
  year={2020},
  publisher={ACM New York, NY, USA}
}
                      


Toward Quantifying Ambiguities in Artistic Images

Predicting Visual Importance Across Graphic Design Types
Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
ACM UIST 2020

PDF Website Teaser Video Poster Bibtex

@inproceedings{fosco2020predicting,
  title={Predicting Visual Importance Across Graphic Design Types},
  author={Fosco, Camilo and Casser, Vincent and Bedi, Amish Kumar and O'Donovan, Peter and Hertzmann, Aaron and Bylinskii, Zoya},
  booktitle={Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology},
  pages={249--260},
  year={2020}
}
                        


Predicting Visual Importance Across Graphic Design Types

How much time do you have? Modeling multi-duration saliency
Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii
CVPR 2020

PDF Teaser Poster Video Code Bibtex

@inproceedings{fosco2020much,
title={How much time do you have? Modeling multi-duration saliency},
author={Fosco, Camilo and Newman, Anelise and Sukhum, Pat and Zhang, Yun Bin and Zhao, Nanxuan and Oliva, Aude and Bylinskii, Zoya},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4473--4482},
year={2020}
}
                          


How much time do you have? Modeling multi-duration saliency

TurkEyes: A web-based toolbox for crowdsourcing attention data
Anelise Newman, Barry McNamara, Camilo Fosco, Yun Bin Zhang, Pat Sukhum, Matthew Tancik, Nam Wook Kim, Zoya Bylinskii
CHI 2020

PDF Website Poster Video Code Bibtex

@inproceedings{newman2020turkeyes,
title={TurkEyes: A web-based toolbox for crowdsourcing attention data},
author={Newman, Anelise and McNamara, Barry and Fosco, Camilo and Zhang, Yun Bin and Sukhum, Pat and Tancik, Matthew and Kim, Nam Wook and Bylinskii, Zoya},
booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages={1--13},
year={2020}
}
            


TurkEyes: A web-based toolbox for crowdsourcing attention data

Iconate: Automatic compound icon generation and ideation
Nanxuan Zhao, Nam Wook Kim, Laura Mariah Herman, Hanspeter Pfister, Rynson WH Lau, Jose Echevarria, Zoya Bylinskii
CHI 2020

PDF Website Teaser Video Code Bibtex

@inproceedings{zhao2020iconate,
title={Iconate: Automatic compound icon generation and ideation},
author={Zhao, Nanxuan and Kim, Nam Wook and Herman, Laura Mariah and Pfister, Hanspeter and Lau, Rynson WH and Echevarria, Jose and Bylinskii, Zoya},
booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages={1--13},
year={2020}
}
            


Iconate: Automatic compound icon generation and ideation