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AN EXPERIMENTAL STUDY: TEXTUAL INFORMATION DRIVEN SPATIAL UNDERSTANDING AND REPRESENTATION FOR USER INTERFACE DESIGN OF 3D MODELING TOOLS

Published online by Cambridge University Press:  27 July 2021

Xuenan Li
Xuenan Li*
Affiliation:
School of Art Design and Media, East China University of Science and Technology
*
Li, Xuenan, East China University of Science and Technology, China, School of Art Design and Media, China, People's Republic of, [email protected]

Abstract

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The same information has different cognitive difficulty in different representation forms, especially in the field of interaction design. Thus, Scientists pay attention to the design effectiveness based on visual perception. This study focuses on two problems: 1) The relationship between textual comprehension, spatial understanding and cognitive accuracy of text information; 2) The transformation differences of cognitive elements from text information to 3D image information. First, we conduct an experiment to show the cognitive transformation difference of text elements and 3D image elements. Then, we take the design of "Logoup" 3D modeling software (This is programming driven 3D modeling software) as an example, and applies the experimental results in this study to the interface design of the software. By setting up horizontal and vertical reference planes in the real-time rendering area of the software, we can improve the cognitive efficiency and user experience of users and provide non-professional 3D modeling skill of users with an entrance to create 3D shapes.

Keywords

Design cognitionDesign methodsDesign for interfacesSpatial Understanding and Representation
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 437 - 446
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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