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Hello, I am Hayeong Song!

I am a Computer Science Ph.D. student at Georgia Tech.

My advisor is Prof. John Stasko at the Information Interfaces Research Group.

My research goal is to enhance users’ (without statistical background) ability to analyze and gain insights about data through interactive visualization systems. To design and build such interfaces I use data science models and visualizations. Currently, I am interested in capturing the effects of visualizations design and user background on people’s perception of the credibility of visualization.

Previously, I worked on communicating uncertainty to users to support their decision-making and designing interactive visual interfaces that support customized multimodal information representations (e.g., texts, images, and videos) based on user preferences and background.

Research Areas

Professional experience

Research Scientist Intern (May 2022- Present)

• Adobe Research, San Jose, CA
• Mentor: Dr.Jennifer Healey
• Document Intelligence Lab
• Worked on designing and prototyping user-modeled document customization across media types based on users’ matching reading histories (e.g., database) and information presentations.

Research Intern (June-Aug,2021)

• Microsoft Research, Redmond, WA
• Mentors: Dr. Peter Bodik & Dr. Gonzalo Ramos
• Worked on providing experience for users to train better computer vision models (CV) by communicating where the CV model make mistakes.

Research Assistant (2018-current)

• Georgia Tech
• Advisor: Dr. John Stasko

Research Assitant (2017-2018)

• University of Colorado Boulder
• Advisor: Dr. Danielle Szafir

M.S. Computer Scienve (2018)

• University of Colorado Boulder

B.S. in Computer Scienve (2018)

• Handong Global University

Publications

Hayeong Song, Jennifer Healey, Alex Siu, Curtis Wigington, and John Stasko. “Experts prefer text but videos help novices: an analysis of the utility of multi-media content.” 2023. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.

Paper

Hayeong Song, Zhengyang Qi, Diyi Yang, John Stasko. “Understanding People’s Needs in Viewing Diverse Social Opinions about Controversial Topics.” 2023 IEEE Pacific Visualization Symposium (PacificVis). Ieee, 2023.

Paper

Hayeong Song & Danielle Albers Szafir. “Where’s My Data? Evaluating Visualizations with Missing Data.” IEEE Transactions on Visualizations and Computer Graphics, 2018. In Proceedings of IEEE VIS 2018.
Paper|Project Page|Talk (InfoVis 18)

Hayeong Song ,Yu Fu, Bahador Saket, John Stasko, “Understanding the Effects of Visualizing Missing Values on Visual Data Exploration” IEEE Transactions on Visualizations and Computer Graphics, 2021. In Proceedings of IEEE VIS 2021.
Paper

Hayeong Song, Bahador Saket, & John Stasko “Evaluating the Effects of Visualizing Missing Values on Data Exploration”. IEEE Transactions on Visualizations and Computer Graphics, 2020.

Hayeong Song & John Stasko “Understanding and Measuring the Effects of Graphical Dimensions on Viewers’ Perceived Chart Credibility”. 2023 IEEE Pacific Visualization Symposium (PacificVis). Ieee, 2023.

Paper

Experts prefer text but videos help novices: an analysis of the utility of multi-media content

• Hayeong Song, Jennifer Healey, Alexa Siu, Curtis Wigington, and John Stasko

• April 2023, Conference on Human Factors in Computing Systems (CHI)

Understanding People’s Needs in Viewing Diverse Social Opinions
about Controversial Topics

• Hayeong Song, Zhengyang Qi, John Stasko, and Diyi Yang
• April 2023, Pacific Visualization Symposium (PacificVis)

Understanding and Measuring the Effects of
Graphical Dimensions on Viewers’ Perceived Chart Credibility

• Hayeong Song & John Stasko
• April 2023, Poster presentation, Pacific Visualization Symposium (PacificVis)

Understanding the Effects of Visualizing Missing Values on Visual Data Exploration

• Hayeong Song ,Yu Fu, Bahador Saket, John Stasko
• Oct 2021, IEEE Visualization Conference (VIS)

Where’s My Data? Evaluating Visualizations with Missing Data

• Hayeong Song & Danielle Albers Szafir
• Oct 2018, IEEE Visualization Conference (VIS)

News

[May.2022] I started my internship at Adobe Research!

[Aug.2021] A paper “Understanding the Effects of Visualizing Missing Values on Visual Data Exploration” was accepted at IEEE VIS 2021!

CV