Lijie Yao


Lijie Yao 姚李捷 recently finished her postdoc contract at AVIZ, Inria and is open to work now. Previously, she completed her PhD thesis on "Situated Visualization in Motion" at AVIZ, Inria and University Paris-Saclay, supervised by Dr. Petra Isenberg and Dr. Anastasia Bezerianos. Her work focuses on exploring the impact of motion factors on visualizations' perception and how to best design visualizations in motion in real application scenarios. Her thesis received the PhD Thesis Prize from AFIHM. She got her M.Sc. degree in Computer Science from University Paris-Saclay in 2020 and her M.Eng. degree in Electrical and Computer Engineering from Polytech Lille in 2019. She received her B.Eng. in Electronic and Information Engineering from XIDIAN University in 2018.


  • Lijie received a PhD thesis prize from AFIHM, 03/2024.
  • Lijie successfully defended her PhD, 12/2023.
  • Lijie's paper on "Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos" was accepted by TVCG, 12/2023.
  • Lijie joined DATA X EXPERIENCE LAB of University of Calgary and starts her 3-month research stay, 07/2023.
  • Lijie was invitsed to give a talk on "Visualization in Motion for Swimming" at GDR IG-RV conference, 06/2023.
  • Lijie presented her TVCG paper on "Visualization in Motion: A Research Agenda and Two Evaluations" at VIS, 10/2022.
  • Lijie and Alaul Islam presented their paper on "Reflections on Visualization in Motion for Fitness Trackers" at NTSPORT workshop of MobileHCI, 10/2022.
  • Our paper on "Envision Situated Visualizations of Environment Footprints in an Urban Environment" was accepted by VIS4Good workshop of VIS, 10/2022.
  • Lijie gave a talk on "Visualization in Motion for Swimming" at Journée Visu, 06/2022.
  • Lijie's paper on "Visualization in Motion: A Research Agenda and Two Evaluations" was accepted by TVCG, 06/2022.
  • Our poster on "Situated Visualization in Motion for Video Game" was accepted and presented at EuroVis, 06/2022.
  • See more...


  • AFIHM 2023 PhD Thesis Prize, 2024
  • Mitacs Globalink Research Award, MITACS Canada, 2023
  • “Excellent Undergraduate” award, XIDIAN University, 2018
  • French Delf B2, 2017
  • “Inspirational Award” scholarship, XIDIAN University, 2017
  • “Diligence Award” scholarship, XIDIAN University, 2017
  • “Outstanding Student Cadre” award, XIDIAN University, 2015 - 2017
  • Provincial Excellent Project in College Students Innovation and Entrepreneurship Training Program, Shaanxi Province, 2017
  • Second-class scholarship, XIDIAN University, 2016
  • "Huashan Outstanding Student Cadre", XIDIAN University, 2015
  • "Huashan Moral Model", XIDIAN University, 2015
  • "Huashan Vitality Star", XIDIAN University, 2015
  • Excellent Student Award, XIDIAN University, 2015 - 2017
  • Second prize of the 27th Xinghuo Cup, XIDIAN University, 2015
  • Third-class scholarship, XIDIAN University, 2015
  • "Excellent Volunteer" of the 2nd International Cultural Festival, XIDIAN University, 2015
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Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos

Lijie Yao, Romain Vuillmot, Anastasia Bezerianos, Petra Isenberg
IEEE Transactions on Visualization and Compputer Graphics, 2024, 30(3), pp.1821-1836, doi: 10.1109/tvcg.2023.3341990.

We report on challenges and considerations for supporting design processes for visualizations in motion embedded in sports videos. We derive our insights from analyzing swimming race visualizations and motion-related data, building a technology probe, as well as a study with designers. Understanding how to design situated visualizations in motion is important for a variety of contexts. Competitive sports coverage, in particular, increasingly includes information on athlete or team statistics and records. Although moving visual representations attached to athletes or other targets are starting to appear, systematic investigations on how to best support their design process in the context of sports videos are still missing. Our work makes several contributions in identifying opportunities for visualizations to be added to swimming competition coverage but, most importantly, in identifying requirements and challenges for designing situated visualizations in motion. Our investigations include the analysis of a survey with swimming enthusiasts on their motion-related information needs, an ideation workshop to collect designs and elicit design challenges, the design of a technology probe that allows to create embedded visualizations in motion based on real data, and an evaluation with visualization designers that aimed to understand the benefits of designing directly on videos.

Visualization in Motion: A Research Agenda and Two Evaluations

Lijie Yao, Anastasia Bezerianos, Romain Vuillmot, Petra Isenberg
IEEE Transactions on Visualization and Compputer Graphics, 2022, 28(10), pp.3546-3562, doi: 10.1109/TVCG.2022.3184993.

We contribute a research agenda for visualization in motion and two experiments to understand how well viewers can read data from moving visualizations. We define visualizations in motion as visual data representations that are used in contexts that exhibit relative motion between a viewer and an entire visualization. Sports analytics, video games, wearable devices, or data physicalizations are example contexts that involve different types of relative motion between a viewer and a visualization. To analyze the opportunities and challenges for designing visualization in motion, we show example scenarios and outline a first research agenda. Motivated primarily by the prevalence of and opportunities for visualizations in sports and video games we started to investigate a small aspect of our research agenda: the impact of two important characteristics of motion---speed and trajectory on a stationary viewer's ability to read data from moving donut and bar charts. We found that increasing speed and trajectory complexity did negatively affect the accuracy of reading values from the charts and that bar charts were more negatively impacted. In practice, however, this impact was small: both charts were still read fairly accurately.


Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment

Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic, Martin Hachet, Morgane Koval, Léana Petiot, Arnaud Prouzeau, Dieter Schmalstieg, Lijie Yao, Petra Isenberg
In Proceeding of IEEE VIS 2022 Workshop on Visualization for Social Good workshop (VIS4Good), October 2022, Oklahoma, United States.

We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behavioral impact on it. Specifically, we conducted a day long workshop in the French city of Bordeaux where we envisioned situated visualizations of urban environmental footprints. We explored the city and took photos and notes about possible situated visualizations of environmental footprints that could be embedded near places, people, or objects of interest. We found that our designs targeted four purposes and used four different methods that could be further explored to test situated visualizations for the protection of the environment.

Reflections on Visualization in Motion for Fitness Trackers

Alaul Islam*, Lijie Yao*, Anastasia Bezerianos, Tanja Blascheck, Tingying He, Bongshin Lee, Romain Vuillmot, Petra Isenberg
In Proceeding of MobileHCI 2022 Workshop on New Trends in HCI and Sports (NTSPORT), September 2022, Vancouver, Canada.

In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization in motion" for visualizations that are used in the presence of relative motion between a viewer and the visualization. Here, we describe how visualization in motion is relevant to sports scenarios. We also provide new data on current smartwatch visualizations for sports and discuss future challenges for visualizations in motion for fitness trackers.

Situated Visualization in Motion for Video Games

Federica Bucchieri, Lijie Yao, Petra Isenberg
Posters of the European Conference on Visualization (EuroVis), June 2022, Rome, Italy, doi: 10.2312/evp.20221119.

We contribute a systematic review of situated visualizations in motion in the context of video games. Video games produce rich dynamic datasets during gameplay that are often visualized to help players succeed in a game. Often these visualizations are moving either because they are attached to moving game elements or due to camera changes. We want to understand to what extent this motion and contextual game factors impact how players can read these visualizations. In order to ground our work, we surveyed 160 visualizations in motion and their embeddings in the game world. Here, we report on our analysis and categorization of these visualizations.

Situated Visualization in Motion for Swimming

Lijie Yao, Anastasia Bezerianos, Romain Vuillmot, Petra Isenberg
Posters of the France National Conference on Visualization (Journée Visu), June 2022, Bordeaux, France.

Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this data in fixed locations on the screen, but more recently also attached representations to athletes or other targets in motion. These publicly used representations so far have been rather simple and systematic investigations of the research space of embedded visualizations in motion are still missing. Here we report on our preliminary research in the domain of professional and amateur swimming. We analyzed how visualizations are currently added to the coverage of Olympics swimming competitions and then plan to derive a design space for embedded data representations for swimming competitions. We are currently conducting a crowdsourced survey to explore which kind of swimming-related data general audiences are interested in, in order to identify opportunities for additional visualizations to be added to swimming competition coverage.

Visualization in Motion in Video Games for Different Types of Data

Federica Bucchieri, Lijie Yao, Petra Isenberg
Posters of the France National Conference on Visualization (Journée Visu), June 2022, Bordeaux, France.

We contribute an analysis of situated visualizations in motion in video games for different types of data, with a focus on quantitative and categorical data representations. Video games convey a lot of data to players, to help them succeed in the game. These visualizations frequently move across the screen due to camera changes or because the game elements themselves move. Our ultimate goal is to understand how motion factors affect visualization readability in video games and subsequently the players' performance in the game. We started our work by surveying the characteristics of how motion currently influences which kind of data representations in video games. We conducted a systematic review of 160 visualizations in motion in video games and extracted patterns and considerations regarding was what, and how visualizations currently exhibit motion factors in video games.

Situated Visualization in Motion

Lijie Yao, Anastasia Bezerianos, Petra Isenberg
Posters of the IEEE Conference on Visualization, October 2020, Salt Lake City, United States.

We contribute a first design space on visualizations in motion and the design of a pilot study we plan to run in the fall. Visualizations can be useful in contexts where either the observation is in motion or the whole visualization is moving at various speeds. Imagine, for example, displays attached to an athlete or animal that show data about the wearer – for example, captured from a fitness tracking band; or a visualization attached to a moving object such as a vehicle or a soccer ball. The ultimate goal of our research is to inform the design of visualizations under motion.





  • Federica Bucchieri
  • Master Student, University Paris-Saclay, co-supervised with Petra Isenberg, 03/2022 - 09/2022.
    Federica was working on exploring the impact of motion and contextual factors, as well as visual encoding designs on the perception of visualization in motion in video games.

Student Volunteering


Master of Science - Computer Science

Master thesis: Situated Visualization in Motion

Supervisor: Dr. Petra Isenberg

09/2019 - 09/2020
Universite Paris-Saclay logo
09/2017 - 09/2019
Polytech Lille logo

Work Experience

Researcher - Full time

AVIZ team, Inria Saclay, France

I completed my PhD thesis here and continue as a research fellow. My daily work includes regular research, experimenting, data analysis, paper writing, work presentation, grant application, student supervision, reviewing, meeting, communication, travel, visit...

09/2020 - 03/2024
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AVIZ logo

Research Visit

My research stay was hosted by Dr. Wesley Willett. I have been working on prototyping to support design visualizations under sports contexts.

07/2023 - 09/2023
University of Calgary logo

Teaching Assistant - Partial time

I taught some lectures and tutorials of the master course "Interactive Information Visualization".

09/2021 - 08/2023
Universite Paris-Saclay logo

Research Insternship

AVIZ team, Inria Saclay, France

I did a literature review for visualization in motion, classified visual representations used in practice, and proposed a draft version of the design space for visualization in motion. I also conducted a brainstorming to collect more designs. I next implemented a demo prototype to illustrate visualizations in motion. I then designed and implemented a crowdsourcing experiment.

03/2020 - 08/2020
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Industrial Internship

I managed and completed two different projects. I collected and analyzed data and communicated among different cultures. My first project was to develop and create standards to improve the maintenance of industry robots. My second project was data analysis to explore what factors might affect the maintenance costs of industry robots and to find the reasons behind the high costs. My output is used to guide purchasing decisions at the company level.

03/2019 - 08/2019
Saint-Gobain logo

Industrial Internship

I implemented an interactive interface that includes the following functions: user management, information searching, data analysis, and geographic services. My project is based on Bootstrap, HTML5, JavaScript, jQuery, and CSS.

06/2018 - 08/2018
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