DIP: Interaction Research in Complex Informal Learning Environments

这个项目汇集了一个由学习科学研究人员、游戏设计师、游戏理论研究人员和环境科学家组成的跨学科团队，让不同的受众参与到可持续发展和可持续发展的科学中来。受巴克明斯特·富勒近50年前提出的“世界游戏”的启发，该团队正在开发、测试和交付一个实时、协作的环境，该环境使用分布式、技术增强、基于游戏的架构，使群体能够探索影响可持续发展的经济、社会和环境因素的相互关联的本质。该项目的智力价值有两个关键方面。首先，通过在公共场所为非正式学习者群体提供科学数据的可视化，调查人员试图了解由此产生的参与性数据参与的性质，特别注意发现影响可视化有效性的设计原则。其次，研究人员正在创造创新的界面，使计算机“看不见”，并提供另一种触觉、社交和空间分布的方式来与底层数据交互，然后研究这种界面如何促进对可持续发展问题的生成和合作思维。该项目正在发挥其更广泛的影响，因为它有助于外地全面了解社会、高度参与性的环境如何支持对复杂多变量数据进行更深入和更具反思性的学习。此外，研究小组正在推动公众对科学的总体理解，特别是对可持续性和环境科学的理解。

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.