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Gary Marsden Slide 1 University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ([email protected]) July 2002

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Page 1: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 1University of Cape Town

Human-Computer Interaction - 10

Mobile Interaction

Gary Marsden([email protected])

July 2002

Page 2: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 2University of Cape Town

Next big thing

Mobile computing is about more than making computers smaller (not Pocket PC)

Completely new applications and interactions become possible

Page 3: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 3University of Cape Town

A Little Philosophy

Page 4: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 4University of Cape Town

What are we talking about

Page 5: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 5University of Cape Town

Devices

First thing to note is that these are consumer devices– they must work– they must be useful (not for their own sake)– think watches more than PC

Dancing bears will not cut it– Death of WAP– All cell-phone companies now reporting loss

and/or zero growth

Page 6: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 6University of Cape Town

Physical considerations

Mobile devices have smaller screens and keyboards– Computing power is less of an issue

However,– never left behind– can ‘know’ things

• location• heart rate• Officially called “context” – research team in UK

Page 7: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 7University of Cape Town

No mouse, no keyboard, no hope?

New innovations– Voice

recognition– Invisible

keyboard

All very well, but technology based Can we do any better with the

technology we have?

Page 8: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 8University of Cape Town

HCI knowledge

All current cellphone interaction is based on menus

Can you recite your menu structure?

Page 9: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 9University of Cape Town

Actual structure - I

Phone Book

Search

Add Entry

Erase

Edit

Send Entry

Options

Type of View

Memory Status

Speed dials

Messages Inbox Outbox Write Message Settings Message centre number Message sent as Message validity Common Delivery report Reply via same centre Info Service Off Topics index Topics Select Add Edit Erase Language On Voice mailbox number

Call Register Missed Calls Received calls Dialled numbers Erase recent call lists Show call duration Last call All calls Received calls Dialled Clear Timer Show call costs Last call All calls Clear Counter Call cost settings Call cost limit Show costs in

Page 10: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 10University of Cape Town

Actual structure - II

Settings

Call Settings

Auto redial

Speed dialling

Call waiting option

Own number sending

Phone Settings

Language

Cell info display

Welcome note

Network selection

Security settings

PIN code request

Fixed dialling

Closed user group

Security level

Change access codes

Change PIN code

Change PIN2 code

Change security code

Restore factory settings

Call Divert Divert all Divert when busy Divert when not answered Divert when phone off Cancel all diverts

Games Memory Snake Logic

Calculator

Clock Alarm Settings Hide Set time Time format

Tones Incoming alert Ring tone Volume Message alert Keypad tones Warning and game tones

Page 11: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 11University of Cape Town

Rules of menu design

Classifications typically achieve only 50% success

Alphabetic arrangements support “identity mapping” – expert behaviour

Page 12: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 12University of Cape Town

Current designs

Typical handset – Nokia 5110 – uses classification

Is it good?– Avg: 8.2– Max: 14– Total: 110

Number of key presses

Page 13: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 13University of Cape Town

Is this a problem?

Yes!Orange CSP in UK contacted us because

– Couldn’t market vertical services– Spending a fortune on customer support lines

Stories echoed by others such as US-West– big problem with elderly– (surprise success for WAP)

Page 14: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 14University of Cape Town

How to improve

Depth vs breadth– Breadth works better– Actually concave is the best (don’t waste time

with branch nodes)– Most handsets follow this

All research conducted on large screen– a single line display is disastrous (3 times

slower than a 3 line display)– 10 options: Short term memory of 7 +/- 2

Page 15: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 15University of Cape Town

Alternative design

Menus are not optimal for small screensCould use other data structuresE.g. linear list

– Total: 74 – Average: 37 – Max: 74

E.g. Binary tree– Total: 148 – Average: 5.4 – Max: 7

Page 16: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 16University of Cape Town

Lower level - input

It is more likely that mobile devices will be used for data access than intensive data entry– there are exceptions, but these are vertical

market (e.g. Psion)

Input solutions include– voice (limited)– handwriting (graffiti)– predictive (T9) – “portable” keyboard

Page 17: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 17University of Cape Town

Output – screen size

There is not much we can do about keyboard size – Fitt’s law and ergonomics dictate

How does screen size affect usability?

Page 18: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 18University of Cape Town

Is height important

Yes, but width is more soFull width screen (640) read 25% more

quickly than 210– not happy with horizontal scroll

Optimal height is 4 lines – increasing to 20 only gives 9% speed increase in reading

Page 19: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 19University of Cape Town

Comprehension rates

Study conducted by Dillon using a 3500 word text on 20 line displays and 60 line displays– no difference in comprehension (summary of

main points)– small screen users, however, perceived that

they were worse off

This was for linear textThings more interesting with hyper-text

Page 20: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 20University of Cape Town

Web studies

Previous work carried out on terminals in the 80’s which had small screens– Seems to say the short, wide screens should

work

We were set problem by Reuters for accessing Web information

Conducted experiment on real Web site– used standard PC’s, one dropped to 640x480

• 15x75 compared to 11x65 on Psion and WinCE

– set tasks to find information

Page 21: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 21University of Cape Town

Screen shots

Page 22: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 22University of Cape Town

Experiment results

Small screen (640x480) experiment showed– ss users twice as likely to make mistakes in

comprehension– both groups followed same amount of links– 80% of ss users started by using the search feature:

twice as likely to search as ls users– ls users had longer path lengths – more exploratory– ss users did a lot more scrolling, but only down and to

the right

Design lessons– ??

Page 23: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 23University of Cape Town

New interfaces to m-applications

Given those design criteria, what should mobile web applications look like?

WebTwig– 35% quicker– Greater

satisfaction

Page 24: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 24University of Cape Town

Technologies

WebTwig is only one approachTechnologies change all the timeE.g. could use handheld to find pages for

off-line reading– then use BlueTooth to beam them to TV or

printer

Do not be technology focused, however– Learn from WAP!

Page 25: Gary MarsdenSlide 1University of Cape Town Human-Computer Interaction - 10 Mobile Interaction Gary Marsden ( gaz@cs.uct.ac.za ) July 2002

Gary Marsden Slide 25University of Cape Town

Summary

Don’t get locked in to new technology for its own sake

Use evaluation– Expert– User models– Actual humans