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Sistemas de Informação Pictográfica

O universo dos pictogramas: métodos e procedimentos de design para obtenção de coerência formal

Name
Carlos Rosa
Year
2012
Institution
Lisbon School of Architecture Universidade de Lisboa
Supervisors
João Paulo Martins, José Brandão
Discipline
Communication Design
Scope
Pictograms
Taxonomy
Praxiology/Phenomenology
Type
Theoretical
Language
Portuguese
Wordcount / Pagecount
88,240 / 279
Joint supervision
No

Formal consistency in pictographic information systems

Research Process (4 methods)

1. Literature review N = x
Exploratory Qualitative

x

2. Reverse designing N = unspecified
Generative Both Participatory

Examples of pictograms

3. Design project N = 61
Evaluative Qualitative Observational

Undergraduate design students experiment with different design methods

4. Interview N = 3
Evaluative Qualitative Observational

Group of experts

Knowledge Transfer & Exchange

Knowledge Exchange (PhD Process): Exchange with Academia

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

Recommendations (4)

R132 Methodological Evaluation, Monitoring & Impact Priority: High

Replicate pictograms for thematically distinct systems in order to test and verify the design methods identified for universal pictography.

Scope:
Macro
Time Horizon:
Long
Evidence Strength:
Indicative
Feasibility:
High
R133 Evaluation, Monitoring & Impact Theoretical & Conceptual Priority: High

Investigate why the geometric method is the most frequently used when designers are not instructed about the four methods identified in the thesis.

Scope:
Macro
Time Horizon:
Long
Evidence Strength:
Exploratory
Feasibility:
Medium
R134 Theoretical & Conceptual Methodological Priority: High

Study the Pragmatic dimension, following Charles Morris, and relate it to visual perception in order to understand the relationship between symbols and receivers more deeply.

Scope:
Macro
Time Horizon:
Long
Evidence Strength:
Exploratory
Feasibility:
Medium
R135 Evaluation, Monitoring & Impact Methodological Priority: High

Deepen the Semantic dimension through user-centred research, including semantic differentials and cluster analysis.

Scope:
Macro
Time Horizon:
Long
Evidence Strength:
Indicative
Feasibility:
High