CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id cf2011_p073
authors Nasirova, Diliara; Erhan Halil, Huang Andy T, Woodbury Robert, Riecke Bernhard E.
year 2011
title Change Detection in 3D Parametric Systems: Human-Centered Interfaces for Change Visualization
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 751-764.
summary The research on current parametric modeling systems concerns mainly about the underlying computational technology and designs produced; and emphasizes less human factors and design tasks. We observe users being challenged in interacting with these systems regardless of their expertise level. In these systems, user’s attention is divided on system-imposed actions such as tool selection and set-up, managing obscured views, frequent view manipulation, and switching between different types of representations. In essence, control of the system can become more demanding than the design task itself. We argue that this unbalanced emphasis inhibits one of the most important functions of parametric design: agility in exploration of design alternatives by applying frequent user-introduced or system-generated changes on the parametric design models. This compounded by the effect of cognitive limitations such as change blindness and shifts in locus of attention hinders change control and imposes an extra cognitive load in design. In this paper, we made a first step in developing a set of heuristics that is going to present how designers’ change control and detection can be improved. We experimented with three interfaces that control and visualize changes on three different compositions in relation to the designer’s locus of attention: on-model, peripheral and combined views. We measured designers’ performance as the number of changes detected, number of trials, and time required to complete each change detection task. The results support our hypothesis that change blindness significantly slows down and overloads design thinking, and thus should not be ignored. Furthermore, an interesting finding shows that visualizations on the visual periphery can equally support change detection as on-model visualizations, but it is significantly easier and faster to detect changes when they are visualized in both views. These findings can guide us to develop better interfaces in 3D parametric systems.
keywords parametric design, change detection, change blindness, user-centered design, interface ergonomics, HCI, CAD, visualization
series CAAD Futures
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