Visualizing Behavior and Citations

Latest research results of the group presented in Asia and Europe

Recently, we presented our research at two international visualization conferences, PacificVis 2022 and EuroVis 2022, and won two awards. 

Shivam Agarwal showed how the behavior of artificial intelligence (AI) agents could be visualized in the Flatland environment, a train simulation game [1]. The Flatland community awarded the visualization as the best community contribution. In a similar direction, we explored the learning behavior of AI agents in a bomb-laying game [2].

We also presented our ongoing research on visually exploring citations of research articles. Cedric Krause demonstrated our citation-based literature search tool, PURE suggest [3]. Based on sample articles as a seed, it suggests related articles while visually explaining the suggestions. The work won an honorable mention poster award at EuroVis. Moreover, Shivam Agarwal presented a visualization that helps explore the different ways in which an article is cited over time [4]. 

References:

[1] Shivam Agarwal, Günter Wallner, Jeremy Watson, Fabian Beck, "Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks." In the Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2022. doi: 10.1109/PacificVis53943.2022.00011 

[2] Shivam Agarwal, Shahid Latif, Aristide Rothweiler, Fabian Beck, "Visualizing the Evolution of Multi-agent Game-playing Behaviors." In the Proceedings of EuroVis - Poster, 2022. doi: 10.2312/evp.20221111

[3] Fabian Beck and Cedric Krause, “Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest.” In the Proceedings of EuroVis - Poster, 2022. doi: 10.2312/evp.20221110

[4] Shivam Agarwal, Uttiya Ghosh, Fabian Beck, Jaya Sreevalsan-Nair, "CiteVis: Visual Analysis of Overlapping Citation Intents as Dynamic Sets."  In the Proceedings of IEEE Pacific Visualization Symposium (PacificVis) - Poster, 2022. url: https://s-agarwl.github.io/citevis