Title of Oral/Poster Presentation

Modeling for Spatial Memory

Presenter Information

Derek Jenson, Utah State University

Class

Article

College

College of Agriculture and Applied Sciences

Presentation Type

Poster Presentation

Abstract

The purpose of this research is to help establish a framework of knowledge around people's spatial gist capacities that can inform the creation and implementation of spatial memory aptitude tests. This research overlaps the fields of psychology, computer science, and urban design. The aim of this project is to create a versatile, 9-block, 3D-modeled cityscape that can be used as a tool in future research projects. The virtual cityscape will be designed by adhering to psychological principles of wayfinding which include five principles of urban design: districts, edges, paths, nodes, and landmarks (as prescribed by Kevin Lynch in the book Image of the City). This project will entail strategically embedding the five principles in the design of the model. In addition, principles from Design of Cities, by Ed Bacon, will be integrated to help establish an underlying organizational structure to the virtual cityscape. The software applications City Engine (ESRI), Rhinoceros 3D, and Unreal Engine will be used to create the model. First, the city structure and parameters will be created using City Engine. Next, detailed modeling elements will be created in Rhinoceros 3D. Finally, Unreal Engine will be used to establish the user interface. As a final deliverable, the cityscape model will be imported into a virtual reality platform where people can wear VR headsets and interact with the environment at a human scale. This model will be offered as a product that can be used by future researchers for human subject testing of wayfinding capabilities. As an accompaniment to the model, a written document will be provided describing the design principles by which the model was created and where they can be seen.

Start Date

4-9-2020 2:00 PM

End Date

4-9-2020 3:00 PM

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Apr 9th, 2:00 PM Apr 9th, 3:00 PM

Modeling for Spatial Memory

The purpose of this research is to help establish a framework of knowledge around people's spatial gist capacities that can inform the creation and implementation of spatial memory aptitude tests. This research overlaps the fields of psychology, computer science, and urban design. The aim of this project is to create a versatile, 9-block, 3D-modeled cityscape that can be used as a tool in future research projects. The virtual cityscape will be designed by adhering to psychological principles of wayfinding which include five principles of urban design: districts, edges, paths, nodes, and landmarks (as prescribed by Kevin Lynch in the book Image of the City). This project will entail strategically embedding the five principles in the design of the model. In addition, principles from Design of Cities, by Ed Bacon, will be integrated to help establish an underlying organizational structure to the virtual cityscape. The software applications City Engine (ESRI), Rhinoceros 3D, and Unreal Engine will be used to create the model. First, the city structure and parameters will be created using City Engine. Next, detailed modeling elements will be created in Rhinoceros 3D. Finally, Unreal Engine will be used to establish the user interface. As a final deliverable, the cityscape model will be imported into a virtual reality platform where people can wear VR headsets and interact with the environment at a human scale. This model will be offered as a product that can be used by future researchers for human subject testing of wayfinding capabilities. As an accompaniment to the model, a written document will be provided describing the design principles by which the model was created and where they can be seen.