Many claims have been made regarding the potential benefits of Tangible User Interfaces (TUIs). Presented here is an experiment assessing the usability, problem solving, and collaboration benefits of a TUI for direct placement tasks in spatially-explicit simulations for environmental science education. To create a low-cost deployment for single-computer classrooms, the TUI uses a webcam and computer vision to recognize the placement of paper symbols on a map. An authentic green infrastructure urban planning problem was used as the task for a within-subjects with rotation experiment with 20 pairs of participants. Because no prior experimental study has isolated the influence of the embodied nature of the TUI on usability, problem solving, and collaboration, a control condition was designed to highlight the impact of embodiment. While this study did not establish the usability benefits suggested by prior research, certain problem solving and collaboration advantages were measured.
The propagation of Inquiry Based Learning has lead to many more elementary students interacting with authentic scientific tools and practices. However, the more problematic realities of scientific data collection, such as noise and large data sets, are often deliberately hidden from students. Students will need to confront these realities and be able to make skillful data scoping decisions in order to make sense of ever more prevalent large datasets. We dub software designed to support these activities InformationBuilding Applications (IBAs). This paper presents the design considerations that went into building an exemplar IBA, PhotoMAT (Photo Management and Analysis Tool), a brief user study to show how the solutions enacted by following these principles are taken up by actual students, and a discussion of how the design considerations identified by our work might be applied to another IBA.
We present a new low-cost paper-based user interface strategy (Paper-to-Parameters) for making interaction with simulations of complex systems pragmatic within an Environmental Science curriculum. Students specify initial simulation conditions by sticking pieces of paper to a wall, and can experiment with the simulation by repositioning the pieces of paper. Computer vision recognizes the paper-based symbols and converts them into parameters used by the simulation. This tangible input approach contrasts with current slider-and programmingbased approaches for interacting with simulations. We hypothesize that the affordances of this interaction strategy better supports manipulations of spatial simulation parameters. We report here on the initial prototype of the system, and present plans for future work studying its impact on spatially-rooted understandings Author
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