A Design Model using Mutation Shape Emergence HYUN-AH, CHOI and HAN-JONG, JUN Focusing on mutational emergent shapes Hanyang University, Department of.

Slides:



Advertisements
Similar presentations
CONSTRAINTS ON IMAGERY I David Pearson Room T10, William Guild Building
Advertisements

MENTAL CONSTRUCTION David Pearson Room T10, William Guild Building
CAREWARE TRAINING Adult Learners. Approach Getting It Done Framework Concepts vs. Recipes.
P.M van Hiele Mathematics Learning Theorist Rebecca Bonk Math 610 Fall 2009.
Learning Outcomes Participants will be able to analyze assessments
The Role of Visual Prompts in Solving Mathematical Word Problems By Susan Allen.
Using the Crosscutting Concepts As conceptual tools when meeting an unfamiliar problem or phenomenon.
Overarching Goal: Understand that computer models require the merging of mathematics and science. 1.Understand how computational reasoning can be infused.
© 2013 by Nelson Education Ltd.
Unit 7: Evolution.
TEKS 8.6 (A,B) & 8.7 (A,D) This slide is meant to be a title page for the whole presentation and not an actual slide. 8.6 (A) Generate similar shapes using.
Network Morphospace Andrea Avena-Koenigsberger, Joaquin Goni Ricard Sole, Olaf Sporns Tung Hoang Spring 2015.
Design Activities in Usability Engineering laura leventhal and julie barnes.
Shapes and the Coordinate System TEKS 8.6 (A,B) & 8.7 (A,D)
The Methods of Social Psychology
Teaching with Depth An Understanding of Webb’s Depth of Knowledge
Supporting Reinterpretation in Computer-Aided Conceptual Design Iestyn Jowers University of Leeds, UK Miquel Prats The Open University, UK Sungwoo Lim.
Centralian Senior College. Examples  Add and subtract  Write a paragraph  An amoeba  The conventions of punctuation  When oppression meets resistance,
Science Inquiry Minds-on Hands-on.
Engineering Sketching Techniques “A picture says a thousand words” Allyson White STEM Lab 2011.
Geog 463: GIS Workshop May 15, 2006 Information Systems Architecture Reading: Zachman 1987.
Assessment Report Department of Psychology School of Science & Mathematics D. Abwender, Chair J. Witnauer, Assessment Coordinator Spring, 2013.
RSBM Business School Research in the real world: the users dilemma Dr Gill Green.
Concept Attainment Inquiry Lessons.  Is used to teach concepts, patterns and abstractions  Brings together the ideas of inquiry, discovery and problem-solving.
ICEE 2005GLIWICE, POLAND JULY 2005 FEDERAL CENTER OF TECHNOLOGICAL EDUCATION – CEFET-RJ – BRAZIL PRODUCTION ENGINEERING DEPARTMENT CSCW: A FORMATION.
2014 Mathematics Institutes Grade Band: High School Algebra 1.
Cognitive Development: Piaget’s and Vygotsky’s Theories
Yvonne M. Hansen Visualization for Thinking, Planning, and Problem Solving Simple, graphic shapes, the building blocks of a graphical language, play an.
How to conduct good investigation in social sciences Albu Iulian Alexandru.
Exploring Design Innovation: The AI Method and Some Results Ashok Goel Georgia Tech May 18, 2006.
Walking through the grounded theory process: A research experience
Webb’s Depth of Knowledge
Big Idea 1: The Practice of Science Description A: Scientific inquiry is a multifaceted activity; the processes of science include the formulation of scientifically.
Chapter 6 Cognitive and Learning Characteristics © Taylor & Francis 2015.
ELEMENTARY SCHOOL FIFTH GRADE STUDENTS ’ THINKING PROCESS IN LINEAR AND QUADRATIC PATTERNS Dilek TANISLI Aynur ÖZDAS Anadolu University,Turkey.
1 Sketch tools and Related Research Rachel Patel.
Seminar on Theories in Child Development: Overview Dr. K. A. Korb University of Jos.
Chapter 7: Thinking, Language, and Intelligence. Cognition—mental activities involved in acquiring, retaining, and using knowledge Thinking—manipulation.
EDN:204– Learning Process 30th August, 2010 B.Ed II(S) Sci Topics: Cognitive views of Learning.
Methods of Research and Enquiry Qualitative Case Study by Dr. Daniel Churchill.
Scientific Inquiry by:. Icebreaker “Scientific Inquiry refers to the diverse ways in which scientists study the natural world and propose explanations.
Cognitive Processes Chapter 8. Studying CognitionLanguage UseVisual CognitionProblem Solving and ReasoningJudgment and Decision MakingRecapping Main Points.
January 16,  Foundations 30 topics: ◦ Demonstrate understanding of financial decision ◦ Demonstrate understanding of inductive and deductive reasoning.
Helping to develop values
With great power comes great responsibility.
Attributes & Analysis Unit of Study 15: Strengthening Critical Area: Describing and Analyzing Shapes Global Concept Guide: 1 of 1.
Paper III Qualitative research methodology.  Qualitative research is designed to reveal a specific target audience’s range of behavior and the perceptions.
Anne Watson Hong Kong  grasp formal structure  think logically in spatial, numerical and symbolic relationships  generalise rapidly and broadly.
Grade 7 & 8 Mathematics Reporter : Richard M. Oco Ph. D. Ed.Mgt-Student.
Introduction to Biology. Section 1  Biology and Society Biology  The study of life.
Reading in Business Administration Center for Academic and Technology Support.
WHAT IS RESEARCH? According to Redman and Morry,
Chapter 15. Cognitive Adequacy in Brain- Like Intelligence in Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans Cinarel, Ceyda.
Landscape Animation Summary of an experimental approach to inform the use of camera dynamics in visualization.
CONCEPT OF QUALITATIVE RESEARCH Nkoli Ezumah University of Nigeria, Nsukka (UNN) UNN-AuthorAID Workshop on Qualitative.
Surface Defect Inspection: an Artificial Immune Approach Dr. Hong Zheng and Dr. Saeid Nahavandi School of Engineering and Technology.
IV – Conclusion: The performing of this investigation as well as of similar others, acquire great significance, in so far as, on one side, it will contribute.
1 SheetCourse: Engineering Graphics 1504Memorial University of Newfoundland Engineering Graphics 1504 Lecture 2 – General Sketching Objectives l Lines.
Understanding Depth of Knowledge. Depth of Knowledge (DOK) Adapted from the model used by Norm Webb, University of Wisconsin, to align standards with.
Inspiring today’s children for tomorrow’s world Early Years Foundation Stage Assessment Procedure 2016.
HOW TEACHERS’ ADAPTIVE EXPERTISE IS ILLUSTRATED BY REFLECTING THEIR PERSONAL PRACTICAL THEORIES Iina Männikkö & Jukka Husu, Department of Teacher Education,
The Science of Psychology
Conceptual Change Theory
What is cognitive psychology?
Learning Styles & Teaching Styles
Cognitive Processes in SLL and Bilinguals:
Scientific Models in Astronomy
Biometric Security and Privacy Module 1.1
Experiments A guide to managing experiment work in Construction Studies
Presentation transcript:

A Design Model using Mutation Shape Emergence HYUN-AH, CHOI and HAN-JONG, JUN Focusing on mutational emergent shapes Hanyang University, Department of Architectural Engineering Cyber Architecture Design Lab.

PART 1: Motivation & Purpose PART 2: Mutation Shape Emergence PART 3: Empirical Study PART 4: Design Process Model PART 5: Conclusion & Future work Contents

Cyber Architecture Design Lab. 1. Motivation & Purpose 1. Drawings and sketches produced in the design process would stimulate the transformations of thought to guide the creative thinking by providing various visual cues. 2.Those features which are not explicitly represented but emerge through design process are called ‘emergent’. These emergent features help to create a novel and different design. 3. The ability to recognize properties and characteristics of artefacts which were not anticipated in the early stage of design would be considered an important aspect of human visual perception in creative thinking. 4. This study aims at presenting a design model based on the cognitive mechanism discovering mutational emergent shapes as an extended theory of shape emergence. 5. Computational model of mutation shape emergence will be developed based on this design model.

2. Mutational Emergent Shapes Primary Shapes Re-interpretation Emergence Emergent shape Shape Emergence Unintentional perception of patterns from the representation Process of finding other shapes derivable from the initial shape Shapes are present but unrecognized or implicit in the initial drawn shapes New Shapes Shape Emergence Cyber Architecture Design Lab. (A) Primary Shape(B) Emergent Shape

2. Mutational Emergent Shapes Cyber Architecture Design Lab Definition Gene Mutation Genetics Design System The Phenomenon of genes changing at random. A basic factor of hereditary diversity and evolution. An action of changing features or attributes of an object or a concept in an unconventional manner A mechanism that makes possible the creative thinking in the diversity of shapes’ discovery BACDEF A B C DE F X Gene Property MutationMutant New Phenotype New Shape Shapes Genetics

2. Mutational Emergent Shapes Cyber Architecture Design Lab Definition Heterogeneous mutational Emergent Shapes Homogeneous mutational Emergent Shapes Mutation of physical properties occur but the new shape has heterogeneous representation from primary shape Mutation of physical properties occur but the new shape has homogeneous representation of a primary shape

2. Mutational Emergent Shapes Cyber Architecture Design Lab Discovering Mutational Emergent Shapes Discovering Process of Heterogeneous Mutational Emergent Shapes Discovering Process of Homogeneous Mutational Emergent Shapes

2. Mutational Emergent Shapes Cyber Architecture Design Lab Classification of Emergent Shapes and Mutational Emergent shapes (C) Mutational closed emergent shapes: shapes are both closed and discovered by mutation of physical properties of primary shapes. (A) Explicit closed emergent shapes : shapes are both closed and existed in explicit properties of primary shapes (B) Implicit closed emergent shapes: shapes are closed but not necessarily existed in explicit properties of primary shapes. These shapes can also be defined by extending lines and connecting vertices.

Cyber Architecture Design Lab. Purpose of experiment To explore the possibility of discovering mutational emergent shapes in design process Participant 7 participants who were graduate students of Department of Architecture Primary Shape Laboratory Setting 3-1. Empirical Study 1 3. Empirical Studies

Cyber Architecture Design Lab. Procedure of Experiment Outcomes Explanation Of Experiment Think Aloud Reports Retrospective Reports 10 Minutes 40 Minutes Camera 1Camera 2 Sketches Verbal data 3-1. Empirical Study 1 3. Empirical Studies

Cyber Architecture Design Lab. Analyzing the first experimentation – Participant 3 09:30 Hmmm, This is.. 09:35 09:40 09:45 09:50 Ah, here comes quarter circle… 09:55 I think this shape can be made using by quarter circle.. 09:60 … Time Think Aloud Reports Sketch 3-1. Empirical Study 1 3. Empirical Studies

Cyber Architecture Design Lab. Analyzing the first experimentation – Participant Empirical Study 1 3. Empirical Studies 03:20 Now how about starting with the rectangle.. 03:25 Now I find four points for mid points of segments if I draw a circle 03:30 This new shape and this rectangle … 03:35 We can make a shape with circle and rectangle Time Think Aloud Reports Sketch

Cyber Architecture Design Lab. The purpose of experimentation Participant 104 participants who are undergraduate or graduate students of school of Architecture To determine the degree of difficulty in recognizing the mutational emergent shapes To analyze the cognitive process of mutational emergent shapes 15 Minutes Sketches Questionnaires Explanation Of Experimentation Preliminaries Outcomes Degree of Difficulty Test Free Sketch Test 3-2. Empirical Study 2 3. Empirical Studies

Cyber Architecture Design Lab. A. Degree of Difficulty Test 104 (Person) Problem Number Very Easy Easy Normal Difficult Very Difficult Empirical Study 2 3. Empirical Studies

Cyber Architecture Design Lab. B. Free Sketch Test 3-2. Empirical Study 2 3. Empirical Studies Homogeneous Mutational Emergent Shapes Heterogeneous Mutational Emergent Shapes

Cyber Architecture Design Lab. Although mutational emergent shapes are not easy to discover as seen in the test on the degree of difficulty, participants could analogize such shape by means of sketching. Mutational emergent shapes are discovered resulting from mutation of the new properties stemming from the primary shape. Participants came up with new shapes by using implicit and/or explicit properties of primary shapes such as mid points, contact points, angle points and n-section points. Participant 3 -> Center point Participant 5 -> Contact Point Empirical study 1 Empirical study 2 Heterogeneous mutational emergent shape More difficult than from the explicit closed 8.9% of possibility to discover Able to distinguish to Homogeneous and Heterogeneous Mutational Emergent Shape 3-3. Results and Discussion 3. Empirical Studies

Cyber Architecture Design Lab. 4. Process Model Primary Shapes De - structuring Unstructured properties Mutation of properties Re-interpretation Re-structuring Emergent properties Mutational Emergent shapes A process model of mutational emergent shape

Cyber Architecture Design Lab. The process where new properties are discovered through multiple representation The process of breaking down primary shape to individual properties based on intended representation Unstructured properties Mutation of properties Re-interpretation De-structuring Mutational emergent shapes Re-structuring Emergent properties Primary shapes 4. Process Model

Cyber Architecture Design Lab. 5. Conclusions and Future Work 1.Mutational emergent shapes are defined as extended theory of shape emergence. 2. Through the two empirical studies, we found out the facts that mutational emergent shape is discovered and adapted for the development of sketches in design. Additionally, its cognitive mechanism was analysed. 3. On the basis of cognitive mechanism, a process model of mutation shape emergence was suggested. Further research work is necessary to explore the design process at the practical level with the use of mutational emergent shapes. Concrete steps of representation of mutational emergent shapes should be suggested for computation of mutation shape emergence.