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dt_faul_2018_garcia

A computational study on form

A grammar-based tool for multipurpose chair design

Name
Sara Garcia
Year
2018
Institution
Lisbon School of Architecture Universidade de Lisboa
Supervisors
Luis Romão
Discipline
Product Design
Scope
Computational design
Taxonomy
Praxiology
Type
Theoretical
Language
English
Wordcount / Pagecount
93,800 / 268
Joint supervision
No

Computational design in the context of multipurpose chair design

Research Process (14 methods)

1. Literature review N = x
Exploratory Qualitative

x

2. Artefact analysis N = 46
Exploratory/Generative Both

Modern multipurpose chairs

3. Database development N = 46
Generative Quantitative

Modern multipurpose chairs

4. Tool development N = 1
Generative Qualitative

Multipurpose chair grammar tool

5. Tool testing N = 1
Evaluative Qualitative

Analytical, descriptive and synthetic dimensions

6. Tool development N = 1
Generative Qualitative

Multipurpose chair grammar tool - ChairDNA Design Tool

7. Tool testing N = 1
Evaluative Qualitative

Analytical, descriptive and synthetic dimensions

8. Usability test N = 19
Evaluative Qualitative Participatory

Undergraduate design students using the tool

9. Interview N = 19
Evaluative Qualitative

Undergraduate design students

10. Questionnaire N = 19
Evaluative Qualitative

Undergraduate design students

11. Interview N = 10
Evaluative Qualitative

Group of professional designers

12. Usability test N = 10
Evaluative Qualitative Participatory

Professional designers using the tool

13. Think-aloud protocols N = 10
Evaluative Qualitative Participatory

Group of professional designers

14. Questionnaire N = 10
Evaluative Qualitative

Group of professional designers

Knowledge Transfer & Exchange

Knowledge Exchange (PhD Process): Produced with input

IK&T Academia Design Practice Society
Context No No No
Vision No No No
Means No Yes No

Recommendations (6)

R469 Methodological Evaluation, Monitoring & Impact Priority: Medium-High

Extend the multipurpose-chair sample into an accessible, editable database that incorporates new chair classes and additional chairs, so the descriptive base evolves together with the ontology and supports broader retrieval and comparison.

Scope:
Meso
Time Horizon:
Medium
Evidence Strength:
Indicative
Feasibility:
High
R470 Methodological Theoretical & Conceptual Priority: High

Formalize, extend, and implement the ontology so that functions, materials, part connections, higher shape detail, and additional generation processes are systematically represented and shareable.

Scope:
Meso
Time Horizon:
Medium → Long
Evidence Strength:
Indicative
Feasibility:
Medium-High
R471 Artifact, System & Service Design Methodological Priority: High

Extend the Multipurpose Chair Grammar with rules and parameters for greater shape detail, explicit part connections, solid-part positioning, material descriptions, and languages that go beyond multipurpose chairs.

Scope:
Meso
Time Horizon:
Medium → Long
Evidence Strength:
Indicative
Feasibility:
Medium
R472 Evaluation, Monitoring & Impact Methodological Priority: Medium-High

Undertake broader analytic and synthetic tests on the MCG and Meta-Grammar by incorporating other existing specific grammars, generating new specific grammars, and applying the meta-grammar to other product classes.

Scope:
Meso → Macro
Time Horizon:
Medium
Evidence Strength:
Indicative
Feasibility:
Medium
R473 Artifact, System & Service Design Methodological Priority: High

Expand ChairDNA so it can generate additional multipurpose-chair variants (such as asymmetric chairs), other chair and seat types (such as longue chairs and benches), other furniture types (such as dining tables), and reusable templates for materials and design types.

Scope:
Meso
Time Horizon:
Short → Medium
Evidence Strength:
Indicative
Feasibility:
Medium-High
R474 Artifact, System & Service Design Evaluation, Monitoring & Impact Priority: High

Refine ChairDNA with higher shape detail and automatic modes: constrain random generation, automate collections/styles/hybrid generation, and add optimization routines that select solutions against goals such as lower material use, higher resistance, or lower cost.

Scope:
Meso
Time Horizon:
Medium → Long
Evidence Strength:
Indicative
Feasibility:
Medium