1 T9 : Problems Whats best? Ambiguity persists Low KSPC - - PDF document

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1 T9 : Problems Whats best? Ambiguity persists Low KSPC - - PDF document

Text Messaging TiltText : Using Tilt for Text Input Estimated 500,000,000,000 text messages in 2003 worldwide to Mobile Phones More popular outside North America Daniel Wigdor & Ravin Balakrishnan 2 Ambiguity Solutions


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SLIDE 1

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TiltText: Using Tilt for Text Input to Mobile Phones

Daniel Wigdor & Ravin Balakrishnan

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Text Messaging

  • Estimated 500,000,000,000 text messages

in 2003 worldwide

  • More popular outside North America

3

Ambiguity

  • Pressing “2” : {2,a,b,c,A,B,C}

4

Solutions

  • MultiTap
  • Language-based disambiguation
  • T9
  • Letterwise
  • Wordwise
  • Alternate Layouts:

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MultiTap: ~2.1 KSPC

e.g.: {6,6,6,>,6,6} = “on”

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T9: ~1.2 KSPC

e.g.: {6,6} = “on”, “no”, “mo”,…

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SLIDE 2

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T9: Problems

  • Ambiguity persists
  • Inconsistent
  • Eyes-free operation impossible
  • Only English-Like text
  • No numerals
  • Real “texting” impossible

(“b4”,”btw”,”lol”,”rotflmao”…)

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What’s best?

  • Low KSPC
  • Eyes-free
  • Non-language specific

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Tilt as input

  • Add a tilt sensor to device
  • inexpensive accelerometers
  • Hinckley et al.UIST’00
  • Tilt for text input:
  • Sazawal et al. Unigesture MobileHCI ‘02
  • Partridge et al. TiltTypeUIST’02
  • No formal evaluations

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TiltText: 1 KSPC + Tilt Action

eg: {7} = …

P Q R S

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Tilt Detection: Key Tilt

  • Difference between press & release
  • Slow: 3 consecutive actions
  • keypress, tilt, key-release
  • Pilot study: poor performance

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Tilt Detection: Absolute

  • Relative to a fixed origin
  • Keypress & tilt actions concurrent
  • Consecutive same-tilt: savings
  • Consecutive opposite-tilt: extra cost
  • High error-rate: “creeping posture”
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SLIDE 3

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Tilt Detection: Relative

  • Most recent tilting gesture
  • floating origin
  • Maintains advantages of Absolute tilt
  • Saves work on consecutive same tilts &

consecutive opposite tilts

  • No “creeping posture”

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Our Prototype

  • Uses Absolute tilt
  • Implemented on Motorola i95 in Java
  • Tilts from board via serial port

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The Study

  • Repeated-measures design

10 participants 2 techniques (MultiTap & TiltText) 16 blocks of 20 phrases each in 2 sessions

  • Same phrases for both techniques
  • Technique order between participant
  • Measured time & accuracy
  • Participants told to correct mistakes

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Results: Overall Speed

  • Overall, TiltText 16% faster (including error correction)

2 4 6 8 10 12 14 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 TiltText MultiTap

Block WPM

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Power-law extrapolation

y = 7.6837x

0.2134

R

2 = 0.9263

y = 8.0297x

0.1184

R

2 = 0.8963

2 4 6 8 10 12 14 16 1 3 5 7 9 11 13 15 17 19 21 23 25 TiltText MultiTap

WPM Block

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Results: Between Participant

  • Data from 1 st technique seen by each participant
  • TiltText still faster

2 4 6 8 10 12 14 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 TiltText MultiTap

Block WPM

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SLIDE 4

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Results: Error Rate

  • TiltText error rate higher than

MultiTap

Error Rate Percentage Block

2 4 6 8 10 12 14 16 18 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 TiltText MultiTap

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Error Rate: By Letter

  • Error rates much higher for some letters

Correct Letter

5 10 15 20 25 30 35 40 a b c d e f g h i j k l m n o p q r s t u v w x y z

Error Rate Percentage

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Error Rate: Tilt Direction

  • Direction significantly effects error rate
  • Creeping posture

5 10 15 20 25 30 35 40 Left Forward Right Back

Error Rate Percentage Correct Tilt Direction

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Conclusions

  • Implemented TiltText
  • Three distinct approaches for tilt
  • Formal study conducted
  • TiltText faster despite errors

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Future Work

  • Theoretical TiltText speed
  • KSPC is not the whole story
  • Implement relative-tilt system
  • Deeper analysis of error causes
  • Longer study
  • Optimizing letter/key assignments

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Acknowledgements

  • Michael McGuffin
  • Richard Watson
  • DGP Lab members
  • Study participants
  • Microsoft Research
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SLIDE 5

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