Abstract
The research investigates experimental digital models, used to enhance the educational methodology, concerning the fundamentals of graphic representation, especially in the general sense of perspective models. In this experimentation, we examine the high communicative efficacy of a generative parametric interactive models, constructed on the basis of visual nodal programming, which: on one hand makes it possible to explain in graphic form the hierarchical and temporal relation of geometrical operations and projective on which the representation is based; on the other hand it allows to experiment the parametric dynamic models, in order to appropriate the perceptual changes that arise from the projective variations that can be established between the geometrical entities present in the models. A possibility, this dynamic interaction, which has not yet been sufficiently experienced and that deserves attention and research.
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Acknowledgments
The authors have common methodology and contents of the research. In particular, Marco Fasolo and Graziano Mario Valenti, have developed the need to develop applications on digital models. Marco Fasolo deepened the critical-historical survey on the use of models in the illustration of the principles of descriptive geometry and identified the typical characteristic operations of teaching. Graziano Mario Valenti has designed and developed the generative, parametric digital model and the related modes of interaction. Flavia Camagni has dealt with documentary research and model testing.
From a strictly editorial point of view, Marco Fasolo edited the paragraph entitled “The model as icon of representation”. Graziano Mario Valenti edited the paragraph “Introduction”, “The generative model, parametric, interactive”, “Conclusions”.
Flavia Camagni edited the paragraph “Examples”.
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Fasolo, M., Valenti, G.M., Camagni, F. (2020). Generative Models for Experimentation and Knowledge of Perspective Principles. In: Di Nicolantonio, M., Rossi, E., Alexander, T. (eds) Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping. AHFE 2019. Advances in Intelligent Systems and Computing, vol 975. Springer, Cham. https://doi.org/10.1007/978-3-030-20216-3_25
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DOI: https://doi.org/10.1007/978-3-030-20216-3_25
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