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.

Generative Models for Experimentation and Knowledge of Perspective Principles / Fasolo, Marco; Valenti, Graziano Mario; Camagni, Flavia. - 975:(2020), pp. 264-275. (Intervento presentato al convegno Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping tenutosi a Washington D.C.; USA) [10.1007/978-3-030-20216-3].

Generative Models for Experimentation and Knowledge of Perspective Principles

Marco Fasolo;Graziano Mario Valenti;Flavia Camagni
2020

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.
2020
Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping
perspective; interactive generative parametric models; descriptive geometry; e-learning; educational methodology
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Generative Models for Experimentation and Knowledge of Perspective Principles / Fasolo, Marco; Valenti, Graziano Mario; Camagni, Flavia. - 975:(2020), pp. 264-275. (Intervento presentato al convegno Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping tenutosi a Washington D.C.; USA) [10.1007/978-3-030-20216-3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1300380
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