Adobe Research at CHI 2021

May 8, 2021

In the VizFlow paper, the authors present a tool allowing users to create dynamic data-driven articles without programming via a text-chart linking strategy. (Source article used in figure) 

The 2021 ACM CHI Conference on Human Factors in Computing Systems (CHI 2021) is being held virtually this year from May 8 to 13, 2021. Widely considered to be the top international conference for Human-Computer Interaction research work, CHI (pronounced ‘kai’) is a place where a diverse group of researchers and practitioners gather to discuss the latest in interactive technology.  

This is the second time that CHI is being held virtually, and the organizers have been observing and gathering feedback about virtual conferences that have been held over the last year to design a program schedule that will accommodate as many time zones as possible. 

Adobe Research is presenting a variety of work at CHI this year, including: 

  • Five full papers 
  • Two “Late-Breaking Work” papers 
  • One workshop paper 

Many of the accepted papers are the outcome of research internships. For those interested, please check out the Adobe Research Careers page to learn more about internships and full-time career opportunities

Full papers 

Beyond Show of Hands: Engaging Viewers via Expressive and Scalable Visual Communication in Live Streaming 
John Joon Young Chung, Hijung Valentina Shin, Haijun Xia, Li-Yi Wei, Rubaiat Habib Kazi

Constructing Embodied Algebra by Sketching 
Nazmus Saquib, Rubaiat Habib Kasi, Li-Yi Wei, Gloria Mark, Deb Roy 

DistanciAR: Authoring Site-Specific Augmented Reality Experiences for Remote Environments 
Zeyu Wang, Cuong Nguyen, Paul Asente, Julie Dorsey 

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

Toward Automatic Audio Description Generation for Accessible Videos 
Yujia Wang, Wei Liang, Haikun Huang, Yongqi Zhang, Dingzeyu Li, Lap-Fai Yu

Late-Breaking Work papers 

Developing a Conversational Recommendation System for Navigating Limited Options 
Victor Bursztyn, Jennifer Healey, Eunyee Koh, Nedim Lipka, Larry Birnbaum 

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

Workshop papers 

“Let’s Make A Story”: Measuring MR Child Engagement 
Duotun Wang, Jennifer Healey, Jing Qian, Curtis Wigington, Tong Sun, Huaishu Peng 
CHI 2021 Workshop:  Evaluating User Experiences in Mixed Reality 

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