DIP: Interaction Research in Complex Informal Learning Environments

该项目汇集了学习科学研究人员，游戏设计师，游戏理论研究人员和环境科学家的跨学科团队，使不同的受众参与可持续发展和可持续发展的科学。从巴克·富勒的“世界游戏”中获得灵感-在近50年前被认为是一种促进全面的，参与性的方法来解决世界问题的工具-该团队正在开发，测试和提供一个实时的，协作的环境，使用分布式，技术增强，基于游戏的架构，使个人团体能够探索经济的相互联系的性质，影响可持续性的社会和环境因素。该项目的智力价值有两个关键方面。首先，通过在公共空间为非正式学习者群体提供科学数据的可视化，研究人员试图了解由此产生的参与性参与数据的性质，特别注意发现影响可视化效果的设计原则。其次，研究人员正在创建创新的界面，使计算机“隐形”，并提供替代的触觉，社交和空间分布的方式与底层数据进行交互，然后研究这些界面如何促进对可持续性问题的生成和合作思维。该项目正在发挥其更广泛的影响，通过它的贡献，该领域的社会，高度参与性的环境支持更深入和更反思的学习复杂的多元数据的方式的一般理解。此外，研究团队正在推进公众对科学的理解，特别是可持续性和环境科学。

This project brings together an interdisciplinary team of learning science researchers, game designers, game theory researchers, and environmental scientists to engage diverse audiences in the science of sustainability and sustainable development. Taking its inspiration from Buckminster Fuller's "World Game" - conceived nearly fifty years ago as a tool to facilitate a comprehensive, participatory approach to addressing the problems of the world - the team is developing, testing, and delivering a real-time, collaborative environment using a distributed, technology-enhanced, game-based architecture to enable groups of individuals to explore the interconnected nature of the economic, social and environmental factors that influence sustainability. The intellectual merit of the project has two key dimensions. First, by making visualizations of scientific data available in public spaces for groups of informal learners, the investigators seek to understand the nature of the resulting participatory engagement with data, giving particular attention to discovering design principles that influence the effectiveness of the visualizations. Second, the investigators are creating innovative interfaces that make computers "invisible" and provide alternative tactile, social, and spatially distributed ways to interact with the underlying data, and then studying how such interfaces promote generative and cooperative thinking about sustainability issues. The project is exercising its broader impacts through its contribution to the field's general understanding of the ways in which social, highly participatory environments support deeper and more reflective learning about complex multivariate data. Moreover, the research team is advancing the public understanding of science in general, and sustainability and environmental science in particular.