Abstract

Abstract. Virtual 3D cities are becoming increasingly important as a means of visually communicating diverse urban-related information. To get a deeper understanding of a human’s cognitive experience of virtual 3D cities, this paper presents a user study on the human ability to perceive building categories (e.g. residential home, office building, building with shops etc.) from geometric 3D building representations. The study reveals various dependencies between geometric properties of the 3D representations and the perceptibility of the building categories. Knowledge about which geometries are relevant, helpful or obstructive for perceiving a specific building category is derived. The importance and usability of such knowledge is demonstrated based on a perception-guided 3D building abstraction process.

Highlights

  • This work presents first research results of project D01 ‘Perception-Guided Adaptive Modeling of 3D Virtual Cities’ which contributes to SFB/Transregio 161 ‘Quantitative Methods for Visual Computing’

  • This paper serves as basis to target the question of which kind of geometric 3D representation will enable the user to gain the required degree of insight for a specific task by gathering profound knowledge on the human’s ability to understand semantics from 3D building structures

  • The knowledge derived in section 3.2.1 describes geometric 3D building properties and structures which are characteristic for a specific building category

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Summary

INTRODUCTION

This work presents first research results of project D01 ‘Perception-Guided Adaptive Modeling of 3D Virtual Cities’ which contributes to SFB/Transregio 161 ‘Quantitative Methods for Visual Computing’. This paper serves as basis to target the question of which kind of geometric 3D representation will enable the user to gain the required degree of insight for a specific task by gathering profound knowledge on the human’s ability to understand semantics from 3D building structures. We will exemplarily address the semantic issue ‘building category’ which covers basic semantic information: Being able to quickly understand the category of buildings when moving through virtual 3D cities means support for various applications (e.g. navigation, house hunting, real estate management, spatial marketing) as it will help users to orient themselves and enable intuitive and efficient exploration. We present a user study we developed and conducted in order to reveal the required knowledge about how a human understands building categories from geometric 3D building representations.

DEVELOPMENT AND CONDUCTION OF THE USER STUDY
Evaluation Metrics
RESULTS AND FIRST
Evaluation Based on the Entirety of All Users
Evaluation Based on Different Groups of Users
G F Different Window
Derivation of Knowledge on Building Perception
Metrics of Building Categories Reference
First Application
CONCLUSIONS
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