Transcript VR-DIS

Understanding Design
Through
Design Support Tools
DRN2005
Bauke de Vries, Henri Achten, Jos van Leeuwen
Content
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Developments of DS group
Results in 2000-2005
Design support: Interfaces
Decision support: Bayesian
networks
• JANUS
• Retrospective and Prospective
CAAD research
Development of innovative design
systems
From explorative: How can we
improve design support?
To deductive: How well does the
system perform?
Research Programme
• Past: VR-DIS (Virtual Reality –
Design Information System)
• Present: DDSS (Design and
Decision Support Systems)
DS - Staff
Bauke de Vries (professor)
Jos van Leeuwen (associate professor)
Henri Achten (assistant professor)
Aant van der Zee (assistant professor)
Jan Dijkstra (assistant professor)
John Carp: retirement
Lab. Staff: Joran Jessurun, Sjoerd Buma
Finished PhD projects
Amy Tan (2003) The Reliability and
Validity of Interactive Virtual Reality
Computer Experiments
Nicole Segers (2004) Computational
Representations of Words and
Associations in Architectural Design
Maciej Orzechowski (2004) Measuring
Housing Preferences using Virtual
Reality and Bayesian Belief Networks
Running PhD projects
Jan Dijkstra (2006) Simulation of Pedestrian Flow in
Urban Environments
Aant van der Zee (2006) Computer-Aided
Evolutionary Architectural Design
Vincent Tabak (2007) User Simulation of Space
Utilisation
Jakob Beetz (2007) Multi-Agent Systems for
Collaborative Design
Nischal Deshpande (2007) Co-located, MultiDisciplinary, Collaborative Design Space
Chengyu Sun (2009) Evaluation System of the
Evacuation Efficiency for the underground space
designs in Shanghai
Related PhD projects
Dima Aliakseyeu (2003) A Computer Support
Tool for the Early Stages of Architectural
Design
Slava Pranovich (2004) Structural Sketcher: A
Tool for Supporting Architects in Early Design
Maxim Ivashkov (2004) ACCEL: A Tool for
Supporting Concept Generation in the Early
Design Phase.
Shauna Mallory-Hill (2004) Supporting Strategic
Design of Workplace Environments with
Case-Based Reasoning
DS research
• Design support: Interfaces
• Decision support: Bayesian networks
Design support: Interfaces
Design system classification:
1. Specificity to the architectural
domain
2. Versatility of provided support
Design system classification
Versatility
Pro/E
AutoCAD
SketchUp
ArchiCAD
High
Photoshop
ISS
SS
Cocktail Napkin
Low
DDDoolz Arch Studio
Paint
Pen and Paper
Home design
Specificity
Basic
primitives
Primitives tailored
to the architecture
Idea Space System (ISS):
Digital graphics and annotations
ISS Findings
1. Word graphs are actually applied
2. Word graphs contribute to
overcoming periods of inactivity
3. Architects are not equally
engaged in verbal design
Structural Sketcher (SS):
Designing with graphics units
and Relations between them
SS: Kite manipulator
SS Findings
1. SS performs better than other
software, but worse than pen &
paper
2. A significant reduction of user
actions compared to other
software
3. Need for ‘doodling’
Decision Support:
Bayesian Networks (BN)
BN is a formalism for performing
reasoning using partial beliefs
under conditions of uncertainty
Case: Measuring housing
preferences
BN Housing preferences
Lounge Ext
(β1)
Garage Ext
(β2)
Extra Kitchen
(β3)
2 Bedrooms
(β4)
First Floor
Ext (β5)
Dormer
Window (β6)
Choice of
2 Bedrooms
Choice of
First Floor
Ext
Choice of
Dormer
Window
Price (γ)
Choice of
Lounge Ext
Choice of
Garage Ext
Choice of
Extra Kitchen
Design experiment
BN findings
1. Differences between the BN
predictions and real-life
selections decreased
2. Increase of the number of
accepted suggestions provided
by the BN
Joint Architectural
Network for Urban Synergy
(JANUS)
• Public-Private collaboration
• Focus on what should be
communicated instead of how
• Participants: Architects,
Contractors, Principal,
Governmental institutes
Projects
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Digital Dormer
Digital code checking
Inline building permits
..
Retrospective and Prospective
• DS = between CS – SS
• Experimental results are often not
glamorous
• Designers are incapable of
specifying their own needs