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Introduction to Innovative Design Thinking

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Six Thinking Hats. 47. Red Hat: Expression of one's emotion and feeling. ... Six Thinking Hats. 48. Black Hat: Collecting all negative comments. ... – PowerPoint PPT presentation

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Title: Introduction to Innovative Design Thinking


1
Introduction to Innovative Design Thinking
  • CDI

2
Lecture 4
  • Concept of Fuzzy Logic
  • Lateral thinking
  • Six Thinking Hats
  • Problem Identification

3
Fuzzy Logic
  • Fuzzy logic is a notion introduced by Lotfi
    Zadeh, a Russian professor in 1964.

4
Fuzzy Logic
  • It is a notion of uncertainty. Unlike logical
    thinking in a dialectic deduction or induction
    pattern, fuzzy logic aims at investigating the
    Class categories.

5
Fuzzy Logic
  • Fuzzy logic is a superset of conventional
    (Boolean) logic that has been extended to handle
    the concept of partial truth -- truth values
    between"completely true" and "completely false".

6
Fuzzy Logic
  • The process of fuzzification as a methodology
    to generalize ANY specific theory from a crisp
    (discrete) to a continuous(fuzzy) form. Thus
    recently researchers have also introduced "fuzzy
    calculus", "fuzzy differential equations",and so
    on .

7
Fuzzy Logic
  • Fuzzy logic depends on the degree of truth. The
    issue studying can be categorized into
    mathematical calculation and classify the
    in-between differences in the degree of truth
    and fact.

8
Fuzzy Logic
New Perception
Perception
Concept
Idea
Heritage
9
Fuzzy Logic
New Perception
Proficiency of Languages
Perception
Concept
Idea
Heritage
10
Fuzzy Logic
New Perception
Superordinates
Perception
Ordinates
Concept
Subordinates
Idea
Heritage
11
Fuzzy Logic
  • In classical set theory, a subset U of a set S
    can be defined as a mapping from the elements of
    S to the elements of the set 0,1, U S --gt 0,
    1

12
Fuzzy Logic
  • This mapping may be represented as a set of
    ordered pairs, with exactly one ordered pair
    present for each element of S. The first element
    of the ordered pair is an element of the set S,
    and the second element is an element of the set
    0, 1.

13
Fuzzy Logic
  • The value zero is used to represent
    non-membership, and the value one is used to
    represent membership. The truth or falsity of
    the statement x is in U is determined by finding
    the ordered pair whose first element is x.

14
Fuzzy Logic
  • The statement is true if the second element of
    the ordered pair is 1, and the statement is false
    if it is 0.

15
Fuzzy Logic
  • Similarly, a fuzzy subset F of a set S can be
    defined as a set of ordered pairs, each with the
    first element from S, and the second element from
    the interval 0,1, with exactly one ordered pair
    present for each element of S

16
Fuzzy Logic
  • This defines a mapping between elements of the
    set S and values in the interval 0,1. The
    value zero is used to represent complete
    non-membership, the value one is used to
    represent complete membership, and values in
    between are used to represent intermediate
    DEGREES OF MEMBERSHIP.

17
Fuzzy Logic
  • The set S is referred to as the UNIVERSE OF
    DISCOURSE for the fuzzy subset F. Frequently,
    the mapping is described as a function, the
    MEMBERSHIP FUNCTION of F. The degree to which the
    statement x is in F is true is determined by
    finding the ordered pair whose first element is
    x.

18
Fuzzy Logic
  • The DEGREE OF TRUTH of the statement is the
    second element of the ordered pair. In practice,
    the terms "membership function" and fuzzy subset
    get used interchangeably.

19
Fuzzy Logic
  • Let's talk about people and "tallness". In this
    case the set S (the universe of discourse) is the
    set of people. Let's define a fuzzy subset TALL,
    which will answer the question "to what degree is
    person x tall?"

20
Fuzzy Logic
  • TALL as a LINGUISTIC VARIABLE, which represents
    our cognitive category of "tallness". To each
    person in the universe of discourse, we have to
    assign a degree of membership in the fuzzy subset
    TALL.

21
Fuzzy Logic
  • The easiest way to do this is with a membership
    function based on the person's height.
  • Tall(x) 0, if height(x) lt 5 ft.,
  • (height(x)-5ft.)/2ft.,
  • if 5 ft. lt height (x) lt 7 ft.,
  • 1, if height(x) gt 7 ft.

22
Fuzzy Logic
  • We can draw a graph like this

1.0
0.5
0.0
5.0
7.0
23
Fuzzy Logic
  • Given this definition, here are some example
    values 
  • Person Height degree of tallness
  • Billy 3' 2" 0.00 I think
  • Yoke 5' 5" 0.21
  • Drew 5' 9" 0.38
  • Erik 5' 10" 0.42
  • Mark 6' 1" 0.54
  • Kareem 7' 2" 1.00
  • depends on who you ask

24
Fuzzy Logic
  • Expressions like "A is X" can be interpreted as
    degrees of truth,
  • e.g., "Drew is TALL" 0.38.

25
Fuzzy Logic
  • The standard definitions in fuzzy logic are 
  • truth (not x) 1.0 - truth (x)
  • truth (x and y) minimum (truth(x), truth(y))
  • truth (x or y) maximum (truth(x), truth(y))

26
Fuzzy Logic
  • This is a very commonly used mathematical
    calculation in developing artificial
    intelligence. The power of fuzzy logic depends on
    the ambiguity of the language.

27
Fuzzy Logic
  • Hence, beyond profound calculation, we can make
    use of the concept to build up a fuzzy map,
    helping us to see the vague argument more clearly
    and thoroughly.

28
Lateral Thinking
  • My true story
  • When I was studying design
  • If you were me, what would you do in order to get
    back the pen???

29
Lateral Thinking
  • As you can see, logical thinking sometimes does
    not help in problem solving. You have to find
    another way out.

30
Lateral Thinking
  • Lateral thinking is a method introduced by Dr.
    Edward De Bono.

31
Lateral Thinking
  • It is also known as Horizontal thinking. This
    method is totally different from the traditional
    logical thinking Vertical thinking.

32
Lateral Thinking
Problem
Logical Thinking is a vertical thinking method
started from the problem towards the solution in
step by step approach.
Solution
33
Lateral Thinking
Unlike Logical thinking, lateral thinking
encourage people to think all possible
alternatives.
34
Lateral Thinking
By lateral thinking, we are trying to propose as
many crazy ideas as we can, without applying
logic or knowledge.
35
Lateral Thinking
If blue is the best proposal, we then started to
build up the logic to study how the idea can be
executed.
36
Lateral Thinking
A
If H?
In lateral thinking, we only ask WHAT IF, and
keep all nonsense as treasure. Do not, and never
criticize in the lateral thinking process.
37
Lateral Thinking
U-shape thinking model
Sometimes, we cannot depend on linear logical
thinking. Using the U-shape model can help us
keep on examining the problem.
38
Lateral Thinking
A
X
X
We can also set up the anti-design statement for
the problem so as to create more ideas.
39
Lateral Thinking
  • There are no fixed rules in lateral thinking.
    Hence, there are some points to note to arouse
    creativity.

40
Lateral Thinking
  • Encourage intuition.
  • Allows crazy ideas.
  • Simple is the best.
  • Make use of possibilities.
  • Treasure coincident.

41
Lateral Thinking
  • An interesting question before you go
  • Why 7 6 equal to 10 ?

42
References
  • Lateral Thinking, Edward de Bono, 1985

43
Six Thinking Hats
  • This is a thinking method introduced by Dr.
    Edward De Bono. It depends highly on role-playing
    technique.

44
Six Thinking Hats
  • There are six different coloured thinking hats,
    which are White, Red, Black, Yellow, Green and
    Blue.

45
Six Thinking Hats
PROBLEM
46
Six Thinking Hats
  • White Hat
  • Collecting Data and Facts
  • No interpretation and no personal opinion

47
Six Thinking Hats
  • Red Hat
  • Expression of ones emotion and feeling.
  • No need to elaborate the reasons behind.

48
Six Thinking Hats
  • Black Hat
  • Collecting all negative comments.
  • It helps to build up the negative design criteria.

49
Six Thinking Hats
  • Yellow Hat
  • Optimistic opinions with reasons.
  • Constructive ideas with logical thinking

50
Six Thinking Hats
  • Green Hat
  • Creative ideas under lateral thinking.
  • Select the appropriate solution and skill.

51
Six Thinking Hats
  • Blue Hat
  • Drafting of design statement and criteria.
  • Control and monitor the creative thinking process.

52
Six Thinking Hats
  • It is very important that you know the role of
    each hat. When conducting six thinking hats
    method in lesson, students can require others to
    wear or change their hats during the discussion.

53
Six Thinking Hats
  • It is also important that throughout the
    discussion, students ( and teachers ) should
    understand thoroughly the use of each hat and its
    limitation.

54
Six Thinking Hats
Teacher can require student to wear specific hat
when discussing an issue. For example, let us all
wear Red hats to discuss this problem.
55
Six Thinking Hats
Participants can require others to change
specific hat when discussing an issue. For
example, let us all change the Red hats to Black
hats to further discuss this problem.
56
Six Thinking Hats
Despite the fact that it looks childish for
participants to wear hats when discussing, it
helps them to build up their mind set in the role
play within an argument.
57
Six Thinking Hats
In order to make students feel more comfortable
in using the six hats thinking method, I designed
a hexagonal model for such activities.
58
Six Thinking Hats
Criteria
Fact
Creative
Emotion
Positive
Negative
59
Six Thinking Hats
  • After sorted out all the possibilities, we have
    to map out all of them and select the best
    solutions. It relies on the deduction of concept
    map to see the relationship between each
    proposal, and logic to execute the ideas.

60
Six Thinking Hats
  • Are you ready?
  • Remember, play the role when you wear specific
    hat!!!
  • Let us try this out. Any subject matter you would
    like to study or solve?

61
Six Thinking Hats
  • As you may see in the activities, the six
    thinking hats depends on the participation of
    role playing and it may works out lots of
    possibilities out of your imagination.

62
Six Thinking Hats
  • It can be a very powerful tool when you encounter
    a specific problems and can pretended to be an
    outsider to scrutinize the subject matter that
    you are working at.

63
Six Thinking Hats
  • That is why lateral thinking and Six hats
    thinking method are also known as Serious
    thinking methodology.

64
References
  • Six thinking hats, Edward De Bono, 1988

65
Problem Identification
  • Words can help us to think, question, criticize
    and analysis a problem.

66
Problem Identification
  • Brief for HKCE DT design project 2001
  • A restaurant menu holder can help promote food
    item.
  • To design a restaurant menu holder for a selected
    restaurant.

67
Problem Identification
  • How can you guide students to build up their own
    mind set in designing the product under such
    smartly drafted design brief?

68
Problem Identification
  • Mind mapping, concept map, linguistic analysis
    and logic can help them to identify a problem and
    set up new design criteria.

69
Problem Identification
  • The way to identify a problem is first of all
    understand your position, i.e. What is your role
    play.

70
Problem Identification
  • You have to decipher the problem(s) behind the
    stated problem instead of the mentioned statement
    itself.

71
Problem Identification
  • Under careful examination, the problem can be
    elaborated by various means.

72
Problem Identification
  • Logical thinking
  • Linguistic analysis
  • Mind map and concept map
  • Questioning
  • Interpretation
  • Semiotic ..

73
Problem Identification
  • Demonstration
  • Is there any problem you would like me trying to
    identify?

74
Thank You
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