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Human Computer Interaction Human Computer Interaction

Human Computer Interaction - PowerPoint Presentation

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Human Computer Interaction - PPT Presentation

Lecture 2 CO2702 CO2751 Lecture 2 2001112 1 are we human or are we Aims To explore the human as Input Output Processor To highlight key theories and knowledge for HCI Understand some general characteristics of humans ID: 285473

co2702 lecture 20011 co2751 lecture co2702 co2751 20011 memory term human information short humans emotion http time ear www sound affect images

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Slide1

Human Computer Interaction

Lecture 2

CO2702 + CO2751 Lecture 2 - 20011/12

1Slide2

are we human or are we....

AimsTo explore the human as

InputOutputProcessor

To highlight key theories and knowledge for

HCI

Understand some general characteristics of humans

CO2702 + CO2751 Lecture 2 - 20011/12

2Slide3

The HumanSenses

BodyThinkingMemory

CO2702 + CO2751 Lecture 2 - 20011/12

3Slide4

The Human as an Input device

SensesHow we make ‘sense’ of the world around us…

CO2702 + CO2751 Lecture 2 - 20011/12

4Slide5

Each sense has…

A tool – Eye, skin, ear etcA process – Nerves, electricity etcLimitations – Pitch, brightness etc

….. and there is the added complexity of individual differences in sensory perception

CO2702 + CO2751 Lecture 2 - 20011/12

5

http://www.hagenstoons.comSlide6

Capturing Images

Sight: = physical reception of stimulusThe eye – mechanism for receiving light and transforming it into electrical energy - light reflects from objects

Images are focused upside-down on retina - retina contains rods for low light vision and cones for colour vision

CO2702 + CO2751 Lecture 2 - 20011/12

6Slide7

Interpreting Images (1)

Size and Depth

visual angle indicates how much of view object occupies (relates to size and distance from eye)

visual acuity is ability to perceive detail

(limited)

familiar objects perceived as constant size

(in spite of changes in visual angle when far away)

CO2702 + CO2751 Lecture 2 - 20011/12

7Slide8

Interpreting images (2)

BrightnessSubjective reaction to levels of light

Affected by luminance of object (brightness)Measured by just noticeable difference

Visual acuity

(detail) increases

with luminance as does flicker

Colour

Made up of hue, intensity, saturation

Cones sensitive to colour wavelengths

Blue acuity is lowest

8% males and 1% females colour blind

CO2702 + CO2751 Lecture 2 - 20011/12

8Slide9

Interpreting images (3)

The visual system compensates for:

Movement.

Changes in luminance.

Context is used to resolve ambiguity.

Optical illusions sometimes occur due to over compensation.

CO2702 + CO2751 Lecture 2 - 20011/12

9Slide10

Optical Illusions

CO2702 + CO2751 Lecture 2 - 20011/12

10

the Ponzo illusion

the Muller Lyer illusionSlide11

Hearing

Provides information about environment:

distances, directions, objects etc.

Physical apparatus:

Outer ear – protects inner and amplifies sound.

Middle ear – transmits sound waves as

vibrations to inner ear.

Inner ear – chemical transmitters are released

and cause impulses in auditory nerve.

Sound.

Pitch – sound frequency.

Loudness – amplitude.

Timbre – type or quality.

CO2702 + CO2751 Lecture 2 - 20011/12

11Slide12

Hearing (cont)

Humans can hear frequencies from 20hz to 20khz.Less accurate distinguishing high frequencies than low.

Auditory system filters sounds.

Can attend to sounds over background noise.

For example, the cocktail party phenomenon.

CO2702 + CO2751 Lecture 2 - 20011/12

12Slide13

Touch

Provides important feedback about environment.

May be key sense

for someone who is visually impaired.

Stimulus received via receptors in the skin:

Thermo receptors – heat and cold.

Nociceptors

– pain.

Mechanoreceptors – pressure

.

Some areas more sensitive than others e.g. Fingers.

Kinethesis

- awareness of body position.

Affects comfort and performance.

CO2702 + CO2751 Lecture 2 - 20011/12

13Slide14

Smell and Taste

Tools – nose, tongueNot much used in computer interfaces but olfactory interfaces

using smell are currently being developed… as we will not use these senses we are not discussing them here!

CO2702 + CO2751 Lecture 2 - 20011/12

14Slide15

The Human in Control

As a machine interacting with computers – humans can use

whole body interaction or, more commonly interaction with arms and fingersKinect

CO2702 + CO2751 Lecture 2 - 20011/12

15

http://www.stelarc.va.com.auSlide16

The Unpredictable Human

Humans are more than machines – there are aspects that vary.

Increasing reaction time decreases accuracy in the unskilled operator but not in the skilled operator.

CO2702 + CO2751 Lecture 2 - 20011/12

16

http://www.cartoonstock.comSlide17

Emotion

Various theories of how emotion works

James-Lange: emotion is our interpretation of a physiological response to a stimuli e.g. See axe-wielding maniac, pulse raises, begin to sweat (interpreted as fear) then we run.

Schacter

-singer: emotion is the result of our evaluation of our physiological responses, in the light of the whole situation we are in

Emotion clearly involves both

cognitive and physical

responses to stimuli

CO2702 + CO2751 Lecture 2 - 20011/12

17Slide18

Emotion (cont.)

The biological response to physical stimuli is called affect

Affect influences how we respond to situations

Positive

 creative problem solving

Negative  narrow thinking

“Negative affect can make it harder to do even easy tasks; Positive affect can make it easier to do difficult tasks”

(Donald Norman)

CO2702 + CO2751 Lecture 2 - 20011/12

18Slide19

Emotion (cont.)

Implications for interface designstress will increase the difficulty of problem solving

relaxed users will be more forgiving of shortcomings in designaesthetically pleasing and rewarding interfaces will increase positive affect

There is a genre of study called

affective computing

CO2702 + CO2751 Lecture 2 - 20011/12

19Slide20

Example from research

ATM machineTwo machines identical in function – number of buttons etc..One designed attractively the other not

Attractive one perceived to be easier to use

CO2702 + CO2751 Lecture 2 - 20011/12

20

Kurosu

, M. &

Kashimura

, K. (1995) Apparent usability vs. inherent usability: experimental analysis on the determinants of the apparent usability. Denver, Colorado. 292-293.Slide21

How humans solve problems

Deductive InductiveAbductive

reasoning

CO2702 + CO2751 Lecture 2 - 20011/12

21Slide22

Deductive Reasoning

Deduction:

derive logically necessary conclusion from given premises.

e.g. If it is Friday then she will go to work

It is Friday

Therefore she will go to work.

Logical conclusion not necessarily true:

e.g. If it is raining then the ground is dry

It is raining

Therefore the ground is dry

CO2702 + CO2751 Lecture 2 - 20011/12

22Slide23

Inductive Reasoning

Induction:

Generalize from cases seen to cases unseen.E.g.. All elephants we have seen have trunks

therefore all elephants have trunks.

Unreliable:

Can only prove false not true.

… But useful!

CO2702 + CO2751 Lecture 2 - 20011/12

23Slide24

Abductive reasoning

Reasoning from event to cause

e.g. Sam drives fast when drunk.

If I see Sam driving fast, assume drunk.

Unreliable:

can lead to false explanations

CO2702 + CO2751 Lecture 2 - 20011/12

24Slide25

The Human as a Store

Humans have the capacity to remember and retrieve information… this affects the way they use technology

CO2702 + CO2751 Lecture 2 - 20011/12

25

http://www.cooperativeindividualism.orgSlide26

Three different ‘stores’

Sensory buffers: momentary stores for stimuli received by the senses. This information, unless encoded in the short-term memory, is quickly lost.

Short-term memory (or working memory): short-term memory acts as a store for information required fleetingly. Long-term memory:

this forms the main resource for memory.

CO2702 + CO2751 Lecture 2 - 20011/12

26Slide27

Short Term Memory

An example of this would be recalling a telephone number long enough to write it down. Short-term memory degrades quickly, and has a limited capacity.

Quick access time – 70ms.Short term storage – 200ms (10 – 20 second decay time).

Limited capacity.

Length of sequence remembered in order = 7

± 2 (

Miller, 1956).

chunks of data are similar.

recency

effect.

Maintained and increased with rehearsal.

Nowadays referred to as ‘Working memory.’

CO2702 + CO2751 Lecture 2 - 20011/12

27Slide28

Chunking and STM

Short-term memory holds information that is actively being used (thought about, reasoned with).

A chunk can be thought of as a single object that conveys a larger amount of information (like a chinese ideogram).

Examples of these include words, shapes and

colours

. However, the information decays in seconds as items are displaced by new items coming in.

Icons are an example of chunked information on a desktop which allows users to distinguish between the various programs available to them.

CO2702 + CO2751 Lecture 2 - 20011/12

28Slide29

LTM – Networked chunks

Here we store everything we ‘know’. Long-term memory is characterised by huge capacity, slow access time and relative accuracy over time.

It is organised in an Episodic way.

events and experiences in sequential order.

And a Semantic way.

facts, concepts and skills that we have acquired.

Storage.

Structure, familiarity and concreteness Forgetting.

Decay, interference.

Retrieval.

Recall

- reproduced.

Recognition

– clue given.

CO2702 + CO2751 Lecture 2 - 20011/12

29Slide30

Impact on HCI

Understanding the limits of human abilities and the scope of their abilities is essential for good design – we will revisit these aspects later in the course

CO2702 + CO2751 Lecture 2 - 20011/12

30

http://www.offthemarkcartoons.comSlide31

Next Week

More on humans….

CO2702 + CO2751 Lecture 2 - 20011/12

31