39-Issue 3
Permanent URI for this collection
Browse
Browsing 39-Issue 3 by Author "Beck, Fabian"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game(The Eurographics Association and John Wiley & Sons Ltd., 2020) Agarwal, Shivam; Wallner, Günter; Beck, Fabian; Viola, Ivan and Gleicher, Michael and Landesberger von Antburg, TatianaCompetition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In this paper, we study such competition and collaboration behavior for a computer game. Serving as a testbed for artificial intelligence, the multiplayer bomb laying game Pommerman provides a rich source of advanced behavior of computer agents. We propose a visualization approach that shows an overview of multiple games, with a detailed timeline-based visualization for exploring the specifics of each game. Since an analyst can only fully understand the data when considering the direct and indirect interactions between agents, we suggest various visual encodings of these interactions. Based on feedback from expert users and an application example, we demonstrate that the approach helps identify central competition strategies and provides insights on collaboration.Item Set Streams: Visual Exploration of Dynamic Overlapping Sets(The Eurographics Association and John Wiley & Sons Ltd., 2020) Agarwal, Shivam; Beck, Fabian; Viola, Ivan and Gleicher, Michael and Landesberger von Antburg, TatianaIn many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set membership of elements across several timesteps while showing individual set intersections.We propose Set Streams, a visualization technique that represents changing set structures on a timeline as branching and merging streams. The streams encode the changing membership of elements with set intersections. A query-based selection mechanism supports a flexible comparison of selected groups of elements across the temporal evolution. The main timeline view is complemented with additional panels to provide details about the elements. While the proposed visualization is an application-independent visualization technique for dynamic sets, we demonstrate its effectiveness and applicability through three diverse application examples and expert feedback.