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

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_id cf2011_p099
id cf2011_p099
authors Huang, Andy; Erhan Halil, Woodbury Robert, Nasirova Diliara, Kozlova Karine
year 2011
title Collaboration Workflow Simplified: Reduction of Device Overhead for Integrated Design Collaboration
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. 591-602.
summary Design collaboration relies on cognitive tools such as analog media and digital peripheral devices, and shows the characteristics of distributed cognition. It is a social and complex activity involving multiple agents communicating and using external cognitive tools to encode, decode, and share information in the process of collaborative task completion. The systems supporting this activity should meet the ’principle of least collaboration effort’ [4] that proposes that agents in collaboration minimize their effort in presentation and acceptance of information. Yet, current collaboration systems are dispersed mixed media that is often overloaded with representations and functionality, thus preventing seam- less information sharing. Designers are required to spend extra effort collecting information using peripheral devices and in system management when sharing information. The goal of this study is to understand these overheads in infor- mation collection and sharing using peripheral devices, and to provide designers with a supportive platform to enhance collaboration using both analog and digital media. In this paper, we first review available peripheral devices such as smart pens, digital cameras, and voice recorders, as well as existing collaboration sup- porting software systems for their benefits and deficiencies in collaboration. We then present ’DiNa’, a collaboration platform that is envisioned to improve pro- ductivity and reduce redundant work by integrating peripheral devices into the collaboration workflow. We demonstrate a possible workflow using this system through several scenarios where designers collaborate in performing a series of design tasks. We hope to bring attention to the importance least collaborative effort in designing systems to support real-world collaboration.
keywords Collaboration, Peripheral Devices, Knowledge Collection, Human Computer Interaction, Computer Aided Design
series CAAD Futures
email
last changed 2012/02/11 19:21

_id caadria2011_013
id caadria2011_013
authors Kozlova, Karine; Roham M. Sheikholeslami, Lyn Bartram and Robert F. Woodbury
year 2011
title Graph visualization in computer-aided design: An exploration of alternative representations for GenerativeComponentsTM Symbolic View
doi https://doi.org/10.52842/conf.caadria.2011.133
source Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 133-142
summary In this paper we explore graph models used to illustrate the relationships between elements of designs in computer-aided design (CAD) systems. We discuss common limitations and ways to make such representations more usable and interactive. In order to study common problems of symbolic representations in CAD systems, we conducted a survey of a number of CAD applications that employ graph representations in their interface and provided comparative analysis of the properties of graph representations in these systems. As a case study we used Bentley GenerativeComponentsTM (GC) system - a parametric CAD application that uses graph (“symbolic”) view to visualize the structure of design. We conducted series of interviews with expert GC users that revealed many limitations of the GC symbolic view. To address these limitations, we developed alternative representations of symbolic view that aim at enhancing user experience with the system and reviewed these with expert GC users. As a result of our study, we developed a set of interactive prototypes using SHriMP1 visualization tool and Processing programming language. These provide improved ways of user interaction with symbolic representation, including better readability of the graph and, as a result, an improved support for design model analysis.
keywords Graph visualization; visual interfaces; CAD systems; visual interaction; node-link diagrams
series CAADRIA
type normal paper
email
last changed 2022/06/07 07:51

_id cf2011_p073
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
email
last changed 2012/02/11 19:21

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