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20152024
most citedA Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions

20 citations · 67 across the 20 of their papers we have counts for

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cs.HC2024

Situated Visualization in Motion for Swimming

Lijie Yao, Anastasia Bezerianos, Romain Vuillemot +1

Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this da…

cs.HC20242 cited

Situated Visualization in Motion for Video Games

Federica Bucchieri, Lijie Yao, Petra Isenberg

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 visua…

cs.HC20241 cited

Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment

Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic +7

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 behaviora…

cs.HC2024

Situated Visualization in Motion

Lijie Yao, Anastasia Bezerianos, Petra Isenberg

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…

cs.HC20242 cited

Reflections on Visualization in Motion for Fitness Trackers

Alaul Islam, Lijie Yao, Anastasia Bezerianos +5

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 i…

cs.HC2022

Blue Ceramics: Co-designing Morphing Ceramics for Seagrass Meadow Restoration

Rachel Arredondo, Ofri Dar, Kylon Chiang +2

Seagrass meadows are twice as efficient as forests at capturing and storing carbon, but over the last two decades they have been disappearing due to human activities. We take a nat…