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Human Capabilities; People; Technology HCI and Cognitive Frameworks Perception Attention / Memory Knowledge / Conceptual Models Learning

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(1)

Introduction –

Human Capabilities:

Cognition and Perception

(2)

Lecture 1 Overview

Human Capabilities; People; Technology

HCI and Cognitive Frameworks

Perception

Attention / Memory

Knowledge / Conceptual Models

Learning

(3)

Cognitive Computing and its applications in HCI

Human Computer Interaction Preece, J. Addison & Wesley

(4)

What is HCI?

HUMAN

MACHINE

GOALS

functions actions

(5)

Central Aim and Approach of HCI

Approach:

User-Centred

 Users should not have to adapt to the interface  Interface should be intuitive/natural to learn/use.

“Talking to users is not a luxury, it’s a necessity”

Aim:

To optimise performance of

(6)

The Parts of

User Interface Development

Development of the user interface

Development of the interaction component COGNITION Development of the interface software e.g. PRINCIPLES

Constructional

Behavioural

(7)

Poor interface may cause:

Increased mistakes in data entry / system operation

Inaccessible functionality

User frustration: low productivity and/or under

utilisation

System failure because of user rejection

Nearly half of entire software development effort relates to the user interface.

(8)

Cognitive scientists analyse

“What the mind does…”

Investigate mechanisms/processes from which mental

phenomena emerge and nature/structure of human

knowledge

Mental phenomena such as……

 Perceiving – learning – remembering  Controlling actions

 Thinking - Emotion

 Planning – Imagining – Creating

 Understanding language and others  Communicating with others

(9)

Model Human Processor

Perception (Visual)

Knowledge

Attention

Language etc

(10)

The Model Human Processor

 Brain viewed as three interacting subsystems

(each with memory store and processor)

Perceptual system (storage of signals from senses

e.g. images, sounds; brief time memory = sensory register)

Cognitive system (‘think’, analyse, recall from LTM;

storage in STM/working memory)

Motor system (called on when physical response is

required – transmit signals to muscles)

(11)

Perception

Why do things look the way they do?

Perception is

translation of physical world into pattern of neural activity

that can be used by brain to guide behavior.

(12)

‘Perceptual organisation’

Understanding of how we put

together the basic features

(edges, colours, motion, depth etc.)

(13)

Perception in Computing

Fundamental for HCI

Perceive info presented at/through interface

Theories of perception influence interface design

Present info in easily understandable/unambiguous

manner i.e. user-centred

(14)

Why Study Perception ?

Practical reasons:

 Identify/correct environmental hazards;

 Design devices

 to optimize perceptual performance;

 for people with perceptual impairments.

Perception and pleasure:

 Visual art/music/gourmet cuisine engage sensory

system in ways that we find pleasurable

 Understanding perception allows us to heighten our

sensory experiences.

(15)

Visual Perception:

Perceptual world can be different from real world!

Human system is capable of perceiving objects

 brightest of sunlight/darkest of night

 rapidly moving objects/rapidly decaying events

Human system cannot perceive

 Bullet being shot / Plant growing / Infrared light

So we can obtain info from displays

which vary in quality, size and other characteristics

but not

with uniform efficiency

across whole

(16)

Vision application:

Pedestrian finding

many

pedestrians look like lollipops

(hands at

sides, torso wider than legs)

most of the time

classify image regions, searching over scales

But what are features?

(17)

Vision application: Pedestrian finding

Result: Pedestrians found, search over scales

(18)
(19)

Perception =

The way we see

:

Constructivist

vs. Ecologist (1)

Intervention of representations/memories

View world by

constructions

from info in

environment / previously stored knowledge

Don

t see replica/copy of world but model created by

transforming, enhancing, distorting and

discarding

info / retinal images.

Effect =

constant view of world

(20)

Sensitivity to Colour Combinations

(3 Cones sensitivity to colour/light of equal intensity)

(21)

Colour Pairs – avoid extremes

Extreme Colour Pairs

Saturated Colour Pairs

(22)

Causes of colour and their

appearance

Sensation of color is caused by brain.

 Some ways to get this sensation include pressure on eyelids,

dreaming, hallucinations, etc. Main way to get it is response of visual system to presence/absence of light at various wavelengths.

Color appearance is strongly affected by (at least):

 other nearby colors,

 adaptation to previous views  “state of mind”

(23)

Background Colour and

Apparent Brightness and Size

Colour selection can effect presentation of info

(24)

STROOP EFFECT

(Colour naming is affected by more than just physics)

Read ALOUD and FAST 1) colour names of XXXs

2) colour names of RHS (word/colour same) 3) colours of RHS

(25)

Colour Appearance and

Surrounding Colours (1)

Which is most appealing?

Why?

(26)

Colour Appearance and

Surrounding Colours (2)

Grey figures ARE same

Contrasting backgrounds

affect perception of colours

Need more than

(27)

Guidelines for Use of Colour in Applications:

Visual Density & Balance

How `tightly packed’ text is on screen

Measure of amount of ‘White Space’ in relation

to amount of text

High density = lots of text and little white

space

More difficult to read

People perceive patterns/structures in displays

(28)

Visual and Other Coding

Differing

Intensity

(brightness, lightness)

Shape e.g. box frame (recognise/pickout)

Colour and/or

shading

shading

Underlining (not recommended in printed text – can

slow reading)

Character

size

and

font

Movement e.g. ‘micons’

(29)

Causes of color and their

appearance

The

sensation of color is caused by the brain

.

Color appearance is strongly affected by

(at

least):

other nearby colors,

(30)

Colour

Attracts

Eye

:

 Old PCs didn’t have power/RAM to use colour; Falling costs

Colour on computer screens?

 Aesthetically pleasing (prefer to Black/White)

 Improve human efficiency by adding extra coding dimension

 Easier to find / distinguish e.g. search for ‘targets’ - characters, words etc  Memory better

 Provides (useful) redundant coding e.g. Standard background colour for

screens

Limited advantage over monochrome display – only add

colour to enhance interface – should function without it

(31)

Value of Colour in

(Mainly) Text Screens

Help user search/distinguish between items

Used to segment screen into related info

Relates separate fields of info

 i.e. same type = same colour

Used to Categorise e.g.

 Actual and projected figures  More or less recent data

 Caption or data field

 User or computer provided data

(32)

Guidelines for Use of Colour -

Screens Containing Mainly Text (1)

Don’t use too many colours (<4/5)

Use colour coding to support user’s task (not hinder)

 Identify similar instances

 Exceptional instances e.g. warnings (bright to emphasise)

 Common coding scheme

 Green - normal or OK

 Orange - caution

 Red – problem/danger/hot

 No universal/multicultural interpretations of colour

 in chemical plant, red colour might just mean hot

(33)

‘Optimal Colour Combinations’ chart

(34)

Lecture 1: Review

HCI and Cognitive Frameworks

Perception

Attention / Memory

Knowledge / Conceptual Models

Learning

References

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