engineering design centre project updates –august 2014

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Engineering Design Centre Project Updates –August 2014

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Page 1: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Project Updates –August 2014

Page 2: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Aim of the study

•To compare –performance and preferences of users for different input modalities

–a standard computer mouse and HOTAS Joystick with different eye-gaze, head and hand movement tracking based pointing systems

Page 3: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Vision parameters

Page 4: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Cognitive parametersTrail Making Test Digit Symbol Test

Page 5: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Motor parameters

Range of Motion of wrist (Palm facing down)

Measuring Radial Deviation

Measuring Ulnar Deviation

Page 6: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Participants

Participants Age Sex Nationalities GS ROMW DST TMT VA CB

1 26 F Indian 24 65 64 37.4 1 N

2 23 F British 28 100 68 27.3 1 N

3 53 M British 52 68 42 22.8 0 N

4 34 M Indian 39 65 44 38.9 0 N

5 30 F Polish 27 70 56 40.4 0 N

6 46 M British 55 78 63 38 0 N

7 28 M South African 48 60 52 23.8 0 N

8 23 M British 47 95 78 18.44 0 N

9 19 M British 27 110 55 21.53 1 N

10 30 F Italian 30 106 64 16.8 3 N

11 22 M American 52 75 74 23.58 0 N

12 30 M British 30 80 68 21.5 0 N

13 26 M Spanish 54 95 78 17.09 0 N

Page 7: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Task

Page 8: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Design

• Modalities1. Eye Tracking with Z-Axis selection (ZET)2. Eye Tracking with Voice-based selection (VoiceET)3. Adapted Eye Tracking (AdaptedET)4. Multimodal Eye Tracking (MmET)5. Head Tracking with Z-Axis selection (ZHT)6. Head Tracking with Voice-based selection (VoiceHT)7. Adaptive Head Tracking (AdaptedHT)8. Hand Tracking with Z-Axis selection (ZGS)9. Hand Tracking with Voice-based selection (VoiceGS)10. Adaptive Hand Tracking (AdaptedGS)11. HOTAS Joystick12. Mouse

• Targets– Size

• 45, 55, 65, 75 pixels

– Distances• 80, 160, 240, 325 pixels [ 1 pixel ≈ 0.25 mm ]

Page 9: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Results

•All participants can undertake trials in all conditions

•We measured–Selection time–Cursor trace

• #Wrong Selections• Main movement + Homing Time• Extra Distance Travelled over Target Axis Length

–Pupil diameter–TLX scores–BRS scores

Page 10: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Selection TimesComparing Selection Times

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

0 0.5 1 1.5 2 2.5 3 3.5

ID

Se

lec

tio

n T

ime

(in

ms

ec

)

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VoiceHT

AdaptedHand

ZHand

VHand

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VoiceHT)

Linear (AdaptedHand)

Linear (ZHand)

Linear (VHand)

Page 11: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Fitts’ Law

Page 12: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Selection Times - ANOVA

Source df F Sig.Eta

Squared

DEVICE 4.02 58.49 0.00 0.71

Error(DEVICE) 96.36

WIDTH 2.20 66.25 0.00 0.73

Error(WIDTH) 52.70

DIST 3.00 9.65 0.00 0.29

Error(DIST) 72.00

DEVICE * WIDTH 33.00 3.79 0.00 0.14

Error(DEVICE*WIDTH) 792.00

DEVICE * DIST 33.00 1.41 0.07 0.06

Error(DEVICE*DIST) 792.00

WIDTH * DIST 5.30 1.60 0.16 0.06

Error(WIDTH*DIST) 127.15

DEVICE * WIDTH * DIST 99.00 1.22 0.07 0.05

Error(DEVICE*WIDTH*DIST) 2376.00

Device × Width × Distance

Page 13: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Selection Times - ANOVAPoint × Select × Width × Distance

Source df F Sig.Eta

Squared

POINT 1.32 70.77 0.00 0.75

Error(POINT) 31.58

SELECT 2.00 91.16 0.00 0.79

Error(SELECT) 48.00

WIDTH 3.00 28.61 0.00 0.54

Error(WIDTH) 72.00

DIST 2.07 8.38 0.00 0.26

Error(DIST) 49.56

POINT * WIDTH 3.45 6.16 0.00 0.20

Error(POINT*WIDTH) 82.77

SELECT * WIDTH 3.69 4.12 0.01 0.15

Error(SELECT*WIDTH) 88.56

Page 14: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Interaction Diagrams - Pointing

Selection times for Pointing Modalities

0

2000

4000

6000

8000

10000

12000

45 55 65 75

Target Width (in pixel)

Sel

ecti

on

Tim

es (

in m

sec)

EyeGaze

Head

Hand

Mouse

HOTAS

Page 15: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Interaction Diagrams

Selection Times for Selection Mechanisms

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

45 55 65 75

Target Width (in pixel)

Sel

ecti

on

Tim

es (

in m

sec)

Adapted

ZAxis

Voice

Page 16: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Analysing Trajectory

Source

Target

Reached Target

Click: End of Task

Page 17: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Main Movement TimeAverage Movement Time

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

Adapt

edET

ZET

Voice

ET

Mm

ET

Adapt

edHT

ZHT

Voice

HT

Adapt

edG

SZGS

Voice

GS

HOTA

S

Mou

se

Input Modality

Tim

e (i

n m

sec)

Page 18: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Time Spent near Target

Hom

ing

Tim

e =

Sel

ectio

n T

ime

– C

urso

r re

ache

d T

arge

t

Average Time Spent Near Target

0

2000

4000

6000

8000

10000

12000

14000

Adapt

edET

ZET

Voice

ET

Mm

ET

Adapt

edHT

ZHT

Voice

HT

Adapt

edG

SZGS

Voice

GS

HOTA

S

Mou

se

Input Modality

Tim

e (i

n m

sec)

Page 19: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Selection Times – Device ComparisonComparing Selection Times

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

0 0.5 1 1.5 2 2.5 3 3.5

ID

Se

lec

tio

n T

ime

(in

ms

ec

)

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VoiceHT

AdaptedHand

ZHand

VHand

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VoiceHT)

Linear (AdaptedHand)

Linear (ZHand)

Linear (VHand)

Page 20: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Extra Distance Travelled

Ext

ra D

ista

nce

= T

otal

Dis

tanc

e –

Tar

get A

xis

Leng

th

Average Extra Distance Travelled

0

500

1000

1500

2000

2500

3000

Adapt

edET

ZET

Voice

ET

Mm

ET

Adapt

edHT

ZHT

Voice

HT

Adapt

edG

SZGS

Voice

GS

HOTA

S

Mou

se

Input Modality

Dis

tan

ce (

in p

ixel

)

Page 21: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Wrong Selections

Wrong Selection

0

2

4

6

8

10

12

14

Adapt

edET

HOTA

S Joys

tick

VoiceET

ZET

Mou

se

Mm

ET

Adapt

edHT

ZHTVHT

Adapt

edGS

ZGSVGS

Input Modalities

%W

ron

g S

elec

tio

ns

Page 22: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Cognitive Load

Comparing Average Cognitive Load

0

10

20

30

40

50

60

70

80

Adapt

edET

ZET

VoiceET

Mm

ET

Adapt

edHT

ZHTVHT

Adapt

edGS

ZGSVGS

HOTA

S Joys

tick

Mou

se

Input Modalities

TL

X S

core

s

Page 23: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Spare Mental Capacity

Comparing Average Cognitive Load

0

1

2

3

4

5

6

7

8

Input Modalities

BR

S S

core

s

Page 24: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Synopsis

• Pointing–Mouse << Head Movement << Hand Movement << Eye Gaze << HOTAS Joystick

• Selection–Adaptive << Z-Axis << MmET << Voice

• Cognitive Load–Mouse << AdaptedHT << …<< Joystick << VoiceET–Not enough spare mental capacity for VoiceGS, VoiceET and HOTAS Joystick

Page 25: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Pupil Data Analysis

Page 26: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Maximum Pupil Diameter

Comparing Pupil Diameters

4

4.5

5

5.5

6

6.5

7

0.5 1 1.5 2 2.5 3 3.5

ID

Pup

il D

iam

eter

(in

mm

)

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VHT

Page 27: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Uncertainty Principle

Page 29: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Pupil as a wave signal

Pupil Diameter

0

1

2

3

4

5

6

0 50 100 150 200 250 300 350 400

Pupil Diameter

0

1

2

3

4

5

6

7 8 9 10 11 12 13 14 15

Page 30: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Existing work & Patent

•Sudden change in pupil diameter•Methods

–Wavelet Transform–Linear Discriminate Analysis–Neural Network

•Applications–Driving simulation–Aviation –Map reading–ET as passive not active

Page 31: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Power Spectrum

Participants ρP1 0.94

P2 0.93

P3 0.67

P4 0.24

P5 0.73

P6 0.64

P7 0.19

P8 0.51

P9 0.72

P10 0.29

P11 0.76

P12 -0.87

P13 1

Average 0.83

Page 32: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Comparing Correlations with TLX Scores

Page 33: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Power Spectrum vs TLX ScoresAverage TLX Scores vs Maximum Pupil Power

0

100

200

300

400

500

600

700

800

0 10 20 30 40 50 60

TLX Scores

Max

imu

m P

up

il P

ow

er

TLX Scores vs Maximum Pupil Power

0

100

200

300

400

500

600

700

800

900

1000

0 10 20 30 40 50 60 70 80 90

TLX Scores

Max

imu

m P

up

il P

ow

er

P1

P2

P3

P4

P5

P6

P7

P8

P9

P10

P11

P12

P13

Linear (P1)

Linear (P2)

Linear (P3)

Linear (P4)

Linear (P5)

Linear (P6)

Linear (P7)

Linear (P8)

Linear (P9)

Linear (P10)

Linear (P11)

Linear (P12)

Linear (P13)

Page 34: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Power Spectrum vs Selection TimesScatter Plot between Pupil Power and Selection Times

0

10000

20000

30000

40000

50000

60000

0 500 1000 1500 2000 2500 3000

Max Power of Pupil Signal

Sel

ecti

on

Tim

es (

in m

sec)

Relating Maximum Pupil Power to Selection Times for different Modalities

0

10000

20000

30000

40000

50000

60000

0 500 1000 1500 2000 2500 3000 3500

Maximum Pupil Power

Sel

ecti

on

Tim

es (

in m

sec)

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VHT

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VHT)

Page 35: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Power Spectrum for different IDs

Comparing Pupil Powers

0

100

200

300

400

500

600

700

800

900

0 0.5 1 1.5 2 2.5 3 3.5

ID

Pu

pil

Po

we

r

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VHT

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VHT)

Page 36: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Power Spectrum vs Selection TimesComparing Pupil Powers

0

100

200

300

400

500

600

700

800

900

0 0.5 1 1.5 2 2.5 3 3.5

ID

Pu

pil

Po

we

r

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VHT

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VHT)

Comparing Selection Times

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

0 0.5 1 1.5 2 2.5 3 3.5

ID

Se

lec

tio

n T

ime

(in

ms

ec

)

AdaptedET

HOTAS Joystick

VoiceET

ZET

Mouse

MmET

AdaptedHT

ZHT

VoiceHT

Linear (AdaptedET)

Linear (HOTAS Joystick)

Linear (VoiceET)

Linear (ZET)

Linear (Mouse)

Linear (MmET)

Linear (AdaptedHT)

Linear (ZHT)

Linear (VoiceHT)

Page 37: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Comparing Effect Sizes

Comparing Effect Sizes

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

DEVICE WIDTH DIST DEVICE *WIDTH

DEVICE *DIST

WIDTH *DIST

DEVICE *WIDTH *

DIST

Factors

Eff

ect

Siz

e

Selection Time

Max Pupil Power

Max Pupil Diameter

( η

² )

Page 38: Engineering Design Centre Project Updates –August 2014

Engineering Design Centre

Advantages over Previous work

•FFT over FWT –No need to choose basis wavelets

•Application agnostic evaluation•Works with low frequency (and cheaper) eye gaze tracker

•Validated while ET is used in both active and passive modes

•However distance to target can also affect pupil diameter which may not indicate a change in cognitive load