Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities
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Item BattleGraphs: Forge, Fortify, and Fight in the Network Arena(The Eurographics Association, 2025) Ehlers, Henry; Pahr, Daniel; di Bartolomeo, Sara; Stoiber, Christina; Filipov, Velitchko; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangConstructive visualization enables users to create personalized data representations and facilitates early insight generation and sensemaking. Based on NODKANT, a toolkit for creating physical network diagrams using 3D printed parts, we define a competitive network physicalization game: BattleGraphs. In BattleGraphs, two players construct networks independently and compete in solving network analysis benchmark tasks. We propose a workshop scenario where we deploy our game, collect strategies for interaction and analysis from our players, and measure the effectiveness of the strategy with the success of the player to discuss in a reflection phase. Printable parts of the game, as well as instructions, are available through the Open Science Framework at https://osf.io/x6zv7/.Item Cards, Charts, and Strategy: A Game-Based Approach to Data Visualization for Pattern(The Eurographics Association, 2025) Boucher, Alena; Stoiber, Christina; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangIn today's society, the ability to read and interpret data visualizations has become a critical skill in both professional and academic contexts. Therefore, fostering visualization literacy from an early stage is essential in teaching students to understand and interpret different types data visualizations. Research highlights gamification as an effective method for enhancing visualization literacy by promoting active learning and motivating learners of all ages. In this context, a card game has been developed to challenge players to identify the most appropriate visualization type for different given datasets. This educational card game aims to deepen understanding and practical application of data visualization concepts while maintaining an engaging and interactive experience for learners.Item Drawagram: A Game-Based Learning Approach to Teach Time-based Data Visualization(The Eurographics Association, 2025) Plankensteiner, Stefanie; Stoiber, Christina; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangDrawagram is a card game based on creativity and interaction that explores the fundamental ideas behind the development of simple time-based data visualizations. Players create visualizations individually on a range of topics, following the guidelines provided by specific cards. The game encourages creativity and innovative thinking and motivates players to find and try different methods to visualize data successfully. By combining learning with gamification, Drawagram offers students, professionals, and educators a fun and accessible way to improve their data literacy.Item EuroVis Workshop on Visualization Play, Games, and Activitie 2025: Frontmatter(The Eurographics Association, 2025) Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,Wolfgang; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangItem Grasping Data Through Play: Exploring Co-Design Activities for Children's Engagement with Personal Data(The Eurographics Association, 2025) Perera, Dushani; Kaufmann, Dorsey; Ramírez-Duque, Andres; Atabey, Ayça; Brewster, Stephen; Wilson, Cara; Vines, John; Plowman, Lydia; Hinrichs, Uta; Manches, Andrew; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangWith the increase of ''smart'' toys and other devices that collect personal data from children and their carers at home and/or in public places, questions of how to raise an awareness of the value of personal data in children and how to promote an active engagement of personal data for the purpose of self-awareness have become more pressing. To address this, the Grasping Data project explores the potential of playful visualization and physicalization activities-designed with and for children-to make their personal data visible and to promote an understanding of collecting and analyzing such data for children's own benefit. However, while research on personal data vis- and physicalization activities and bespoke toolkits exists, designing such activities for young children (3-8) and their carers is underexplored. At the same time, designing activities that focus on personal data comes with its own challenges: how ''personal'' data is defined in the first place, what are children's perspectives on these, and how can navigate ethical and privacy concerns in a constructive way with children and their carers? Building on this, in this workshop paper we introduce a play-based activity to explore how adults engage and interpret personal data through play and tangible visualizations. Through this activity, we aim to explore and discuss how adults define 'personal data' and the potential of play and visualizations to help them 'grasp' the meaning and value of their data.Item Leveraging Popular Board Games to Teach Data Visualization(The Eurographics Association, 2025) Amabili, Lorenzo; Gröller, Eduard; Raidou, Renata Georgia; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangTo address the challenges in visualization education-particularly in motivating and engaging students-we propose the conceptual adaptation of popular board games into educational data visualization games. We present five unique adaptations of well-known board games, integrating their mechanics and materials into a data visualization learning process. For each game, we outline specific learning objectives and suggest strategies to extend the game-based approach to broader data visualization education. By combining familiar, engaging game mechanics with visualization content, we aim to foster critical engagement with the learning material while providing students with a foundational understanding of data visualization concepts. Early qualitative results from one of the games indicate a positive impact on players' learning, boosting engagement and enjoyment.Item Playing with Knowledge: Leveraging Visualization Games for Data Validation and Inspiration(The Eurographics Association, 2025) Becker, Franziska; Warnking, Rene Pascal; Blascheck, Tanja; Stoiber,Christina; Boucher,Magdalena; Keck,Mandy; Amabili,Lorenzo; Raidou,Renata G.; Filipov,Velitchko; Oliveira,Victor; Schetinger,Victor; Aigner,WolfgangWe present an approach to use visualization games for data validation and inspiration in a collaborative coding context. As part of an interactive coding system that lets coders create a tag hierarchy and tag data items, we designed multiple games that support validating that data and exploring it in a novel way. Each game has mechanics inspired by existing games and incorporates visualization and externalization to varying degrees. By playing these games, coders randomly sample the data space to pinpoint problems and find inspiration, like discovering gaps in the data or contemplating novel item-tag combinations. Game results are automatically tracked to let coders analyze their performance and find out in which cases they tend to make mistakes. Coders can also create objection notes at the end of a game to externalize insights which are accessible in other parts of the system. For example, if a coder is convinced that an item should not have a specific tag they were shown in a game, they can create an objection about this issue that all system users can see. Our games can be played with different datasets at https://arielmant0.github.io/collacode/?tab=games.