Visual Perception Flashcards

(15 cards)

1
Q

Gestalt Perception

A
  • Human vision is biased to perceive structure
  • Whole shapes, figures and objects

Gestalt
* German for “unified whole”
* Essence or shape of an entity’s complete form
* Pattern, configuration

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2
Q

Gestalt Principles

A
  • Gestalt principles are laws of human perception
  • How we find order in what we see
  • How we recognize groups, relationships and patterns
  • How we see individual elements as a whole
  • How we simplify complex images when we perceive objects
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3
Q

Perception of Objects: Emergence

A
  • “Seeing the big picture”
  • Perceiving the whole
    without having to analyse
    the individual part
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4
Q

Perception of Objects: Closure

A
  • Seeing the complete shape even when only parts are visible
  • The mind fills in the gaps
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5
Q

Perception of Objects: Continuity

A
  • Grouping elements that
    follow the same path
  • Seeing a continuous shape even if partly occluded
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6
Q

Perception of Groups: Proximity

A
  • Objects that are closer
    together are perceived as a group
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7
Q

Perception of Groups: Similarity

A

Objects that share visual
characteristics are
perceived as grouped

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8
Q

Perception of Groups: Common Region

A

Objects that are within the same region are perceived as one group

  • In many guidelines, this
    principle is called
    “Enclosure”
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9
Q

Perception of Image Structure:
Figure/Ground

A
  • To simplify an image, the brain separates foreground (“figure”)
    from background (“ground”)
  • Important, as more attention is
    given to the foreground
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10
Q

preattentive processing

A

Preattentive processing of visual information is performed
automatically on the entire visual field
* quickly, effortlessly and in parallel
* without focussing visual attention

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11
Q

Pop-out features

A
  • Pop-out features (also called out preattentive features) are visual properties that
    can be perceived without focussed attention
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12
Q

Pop-out features for data visualisation

A
  • Pop-out features help communicate
    information efficiently
  • Some features pop out more than others
  • Colour is stronger than shape
  • Motion is effective
    (but can be annoying)
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13
Q

Visualisation: Basics

A

In visualisation, we represent different types of data:

Categorical: Named labels (e.g., colors, types).

Ordinal: Ordered values (e.g., rankings).

Quantitative: Numeric values with measurable magnitude.

We use perceptual channels like position, size, color, brightness, and shape to visually represent this data.

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14
Q

Visual Encoding: Colour Hue and Value

A

Value (lightness) is good for showing order, so it’s useful for ordinal data, but less effective for continuous variables. We perceive contrast better than exact values.

Colour (hue) is unordered, making it suitable for categorical (nominal) data.

Rainbow color scales are common but not ideal, as they can mislead or confuse interpretation.

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15
Q
A
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