effects of age and think-aloud protocol on eye-tracking data and usability measures

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Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures Jennifer Romano Bergstrom @romanocog Fors Marsh Group @forsmarshgroup & Erica Olmsted-Hawala U.S. Census Bureau EyeTrackUX | Las Vegas, NV | June 2012

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Page 1: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Effects of Age and

Think-Aloud Protocol on

Eye-Tracking Data and

Usability Measures

Jennifer Romano Bergstrom @romanocog

Fors Marsh Group @forsmarshgroup

&

Erica Olmsted-Hawala

U.S. Census Bureau

EyeTrackUX | Las Vegas, NV | June 2012

Page 2: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Usability Testing

• Technique in user-centered design to

evaluate a product by testing it with actual

users of the product

• Value is getting direct feedback on how

real users work with the product

Page 3: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

How Usability is Measured

• International Organization for

Standardization (ISO) 9242:11

The extent to which a product can be used by

specified users to achieve specified goals with

effectiveness, efficiency and satisfaction in a

specified context of use.

Page 4: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Usability Testing

• Metrics

– Task accuracy

– Task efficiency

– User satisfaction

• Usability professional (test administrator)

identifies problem areas of product based

on user performance & verbalized

feedback

Page 5: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

5

Think-Aloud Protocol

• Primary tool used by usability professionals when conducting usability tests

• Test administrator — Listens to what participant says — Watches what participant does — Cannot directly observe what a participant

thinks

Page 6: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

6

Concurrent Think Aloud (CTA)

Protocol

• Participant encouraged to “think aloud” while working on task – Running commentary of thought-action

process – Participant articulates as they work on task

Page 7: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Retrospective Think-Aloud (RTA)

Protocol

• Participant completes session in silence

– Watches a video replay of session

• Sometime with eye tracking

– Articulates while watching video replay

Page 8: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Research on CTA and RTA

• Usability studies have compared effects of

CTA and RTA on usability performance

– Accuracy

– Efficiency

– Satisfaction

– Verbal data quality

• Results vary by study

Page 9: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Pros and Cons of Think Aloud CTA

• Metrics might not be accurate

• Emotions

• Users describing the what

• Real sense of users’

experience with site

• Shorter sessions

• Real time responses

RTA

• Metrics “more pure”

• Reflection

• Users describe their own

interpretation or

understanding of why

• Users’ insight into what the

design issues are

• Longer sessions

• Memory is fallible

Page 10: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Cognitive Aging

Page 11: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Aging: The Facts

• The population is increasing.

Page 12: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

250,000

270,000

290,000

310,000

330,000

350,000

370,000

390,000

2000 2005 2009 2010 2015 2020 2025 2030

Po

pu

lati

on

of

US

in t

ho

usa

nd

s

Page 13: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

• The population is increasing.

• Older adults are the fastest growing part of

the population.

Page 14: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

0

20,000

40,000

60,000

80,000

100,000

120,000

2000 2005 2009 2010 2015 2020 2025 2030

Po

pu

lati

on

of

US

in t

ho

usa

nd

s

18 to 24 years

25 to 44 years

45 to 64 years

65 years and over

Page 15: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

Percent Change in US Population and in Older Adults: 2000-2029.

Page 16: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

• The population is increasing.

• Older adults are the fastest growing part of

the population.

• More people are using the Internet.

Page 17: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

0

10

20

30

40

50

60

70

80

90

1997 2000 2001 2003 2007 2009

Pe

rce

nt

of

ho

use

ho

lds

wit

h In

tern

et

Page 18: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

Page 19: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

• The population is increasing.

• Older adults are the fastest growing part of

the population.

• More people are using the Internet.

• Cognitive decline is inherent with age.

Page 20: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

• The population is increasing.

• Older adults are the fastest growing part of

the population.

• More people are using the Internet.

• Cognitive decline is inherent with age.

Page 21: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Cognition and Internet Examples

• Spatial skills

– Where things are located

• Short-term memory

– Remembering the purpose

• Working memory

– Remembering information entered earlier to respond to later questions

• Sustained attention

– Complex Web sites

Page 22: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

The Facts

• The population is increasing.

• Older adults are the fastest growing part of

the population.

• More people are using the Internet.

• Cognitive decline is inherent with age.

• Web site designers often do not take

cognitive decline into account when

designing Web sites and surveys.

Page 23: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Cognitive Aging,

Think-Aloud Protocol

and Usability Performance

Page 24: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Challenges of Dual tasks

• Performance for older adults decreases

when they attempt to complete dual tasks

Page 25: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Research Questions

• Does the dual task of thinking aloud while

working on finding information impact

usability performance and eye fixation

patterns?

• What think-aloud protocol (CTA / RTA)

should practitioners use when conducting

usability studies with older adults?

Page 26: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Our Study

• 2 (CTA / RTA) x 3 (Age) between-subjects

study.

• Outcome Variables

– Accuracy

– Efficiency

– Satisfaction

– Eye-tracking data

– Verbal reports

Page 27: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Participants

• 95 participants

• Metro DC area

• Three age groups

– Young adults ages 18-28

– Middle-age adults ages 40-50

– Older adults ages 64-76

• One year of prior experience using Internet • Reimbursed $40.00

Page 28: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Participant Characteristics

Young adults Middle-age adults Older adults

CTA RTA CTA RTA CTA RTA

Gender 3M / 8F 6M / 15F 5M / 7F 9M / 10F 5M / 6F 9M / 12F

Mean Age 22 22 45 46 67 68

Mean Years of

education 15 15 15 14 16 16

Ease of learning

a new Web site* 1.36 1.47 1.83 1.42 2.36 2.38

Ease of

navigating the

Internet*

1.09 1.05 1.33 1.16 1.72 1.57

*Scale: 1 (Not difficult at all) – 5 (Extremely difficult).

Page 29: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Methods • 5 information-gathering tasks

– Typical tasks users come to site to accomplish

– Tasks organized by easy to hard

– Collected accuracy and efficiency measures

– Eye tracking on all tasks

• Satisfaction questionnaire and debriefing at end

• CTA group – CTA on all tasks

• RTA group – RTA on last task only

– Gaze video playback

• Test administrator and participant were in separate rooms

Page 30: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Website Tested

• US Census Bureau’s American FactFinder

– Primary website about population, housing,

and economy of the US

– Legacy version of site

Page 31: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

AFF Website: http://factfinder.census.gov

Page 32: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Example Tasks

• First easy task: You want to learn more

about Maryland, and specifically about

how many people live there. How many

people live in Maryland?

• First hard task: You are doing a report on

schooling in the U.S. What percent of the

population in Florida, California and Texas

completed college in 2008?

Page 33: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Results

• Task accuracy

• Task efficiency

• User satisfaction

• Eye Tracking

• Verbal reports

Page 34: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Young and middle age adults

completed more tasks successfully

than older adults

0%

10%

20%

30%

40%

50%

60%

70%

80%

Young adults Middle-age adults Older adults

CTA

RTA

**

*

*p < 0.05; **p < 0.01

Page 35: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Middle-age adults in CTA had higher

accuracy in hard task than in RTA

0%

10%

20%

30%

40%

50%

60%

70%

80%

Middle-age adult--1st hard task

CTA

RTA

*

*p = 0.07

Page 36: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Young adults completed tasks

faster than older adults

0:00

0:28

0:57

1:26

1:55

2:24

2:52

3:21

3:50

4:19

Young adults Middle-age adults Older adults

CTA

RTA

**

**p = 0.05, *p = 0.10

Page 37: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Middle-age adults in RTA completed

hard task faster than in CTA

0:00

1:12

2:24

3:36

4:48

6:00

7:12

8:24

9:36

10:48

Middle age adults--1st hard task

CTA

RTA

*

*p = 0.10

Page 38: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

No significant age-related

differences in user satisfaction

0

1

2

3

4

5

6

7

8

9

Young adults Middle-age adults Older adults

CTA

RTA

Page 39: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Speed / Accuracy Trade Off

• Cognitive demands influence the speed

and accuracy with which adults process

information

• Our findings for the middle-age adults are

consistent with earlier cognitive work.

– Higher accuracy for hard task with CTA

– Slower for hard task with CTA

Page 40: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Interaction of Age and Think Aloud

• Older adults’ performance decreases

when they perform dual tasks.

• Our findings for the middle age adults are

consistent with earlier cognitive work.

– Older adults: floor level

– Young adults: ceiling level

Page 41: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Eye Tracking

• Total number of fixations per AOIs

– Task 1

• Total number of fixations on main page

– Task 1

Page 42: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

AOIs

Left navigation Population clock

Top banner Top navigation

Whole screen

Page 43: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Left navigation: No difference

between CTA and RTA

0

5

10

15

20

25

CTA RTA

Page 44: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Left navigation: Older adults had

fewer fixations than young adults

for CTA only *

*p < 0.05

0

1

2

3

4

5

6

7

8

9

10

Young adults Middle-age adults Older adults

CTA

RTA

Page 45: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Top banner: More fixations during

CTA

0

1

2

3

4

CTA RTA

CTA

RTA

p = 0.06

Page 46: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Top banner: No significant

differences, but pattern is the same

0

1

2

3

4

5

Young adults Middle-age adults Older adults

CTA

RTA

Page 47: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Top navigation: No difference

between CTA and RTA

0

1

2

CTA RTA

CTA

RTA

Page 48: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Top navigation: Older adults had

fewer fixations than young adults

for CTA only *

*p < 0.05

0

1

2

3

4

Young adults Middle-age adults Older adults

CTA

RTA

Page 49: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Population clock: No difference

between CTA and RTA

0

1

2

3

4

5

6

CTA RTA

CTA

RTA

Page 50: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Population clock: No significant

differences, but CTA pattern is similar

0

1

2

3

4

5

6

7

8

Young adults Middle-age adults Older adults

CTA

RTA

Page 51: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Whole screen: No difference

between CTA and RTA

0

10

20

30

40

50

60

CTA RTA

CTA

RTA

Page 52: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Whole screen: Middle-age adults

had fewer fixations than young

adults for CTA only

*

*p = 0.05

0

10

20

30

40

50

60

70

80

Young adults Middle-age adults Older adults

CTA

RTA

Page 53: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Seconds to complete Task 1: No

significant differences

0

20

40

60

80

100

120

140

160

Young adults Middle-age adults Older adults

CTA

RTA

Page 54: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Accuracy for Task 1: No significant

differences

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Young adults Middle-age adults Older adults

CTA

RTA

Page 55: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Language Analysis

• Present tense and past tense

verbalizations

• Also examined

– Positive emotion words (e.g., good, helpful)

– Words of assent (e.g., absolutely, cool)

– Negative emotion words (e.g., annoy, awful)

– Negations (e.g., aren’t, can’t)

– Affective processing (e.g., caring, insult)

Page 56: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Participants in CTA spoke more present tense;

Participants in RTA spoke more past tense

0%

2%

4%

6%

8%

10%

12%

14%

Past tense Present tense

CTA

RTA

Page 57: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Young adults in CTA spoke 5%

fewer utterances in present tense

0%

2%

4%

6%

8%

10%

12%

14%

16%

Present tense

Young CTA

Middle-age CTA

Older CTA

Page 58: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Young adults in RTA follow similar pattern:

fewer utterances of present tense

0%

2%

4%

6%

8%

10%

12%

Present tense

Young RTA

Middle-age RTA

Older RTA

Page 59: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Words of Insight and Cognition

• Test administrator observations during sessions – CTA more immediate what they were doing

– RTA reflections on actions

• Insight words – Complex

– Meaning

– Prove

• Cognitive processes – Ambiguous

– Hesitate

– Solution

Page 60: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Participants in RTA spoke more

words of insight and cognition

0%

5%

10%

15%

20%

25%

Insight words Cognitive processes

CTA

RTA

Page 61: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Summary of Usability Results I

• Accuracy – Young and middle-age adults

completed more tasks successfully (higher

accuracy) than older adults.

• Efficiency – Young adults completed tasks

faster than older adults.

• Satisfaction – Age did not affect

satisfaction.

Page 62: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Summary of Usability Results II

• Condition effect – Middle-age adults who

completed tasks in silence (RTA)

completed the most difficult task faster and

with higher accuracy than middle-age

adults who thought aloud (CTA) while

completing tasks.

Page 63: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Summary of Eye-Tracking Results

• When age was not a factor, there appeared

to be no differences in fixations between CTA and RTA

• When age was taken into account – Older had fewer fixations than young in CTA only

• Left navigation

• Top navigation

• Similar pattern for other AOIs

– Middle-age had fewer fixations than young in CTA only

• Whole screen

– Not related to accuracy or efficiency

Page 64: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Implications

• Recruit participants of varying age groups for usability

testing; conduct usability tests with older adults.

• Be aware of cognitive demands and effects that thinking

aloud has on aging adults.

• Consider pros and cons when creating a protocol and

selecting a think-aloud method.

– Use CTA for a richer verbal commentary, particularly with respect to

participants’ emotional reaction to the site.

– Use RTA when interested in verbal feedback related to participants’

insight on the issues they had with the application.

– Use RTA when pure eye-tracking data is necessary.

Page 65: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Future Analysis

• Fixation duration

• Sum across all tasks – Easy vs. hard tasks

• Performance in first 10 seconds

• Correlations – Education

– Experience

– Cognitive abilities

• Verbalizations – Phrases

– Number of words, phrases

• Click data

• Identified usability issues

Page 66: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Future Research

• Include wider ranges of age to test the

assertion that the age-related effect is

incremental and occurs slowly through a

lifetime

• Alter RTA protocol

• Replicate with different web sites

• Are there specific gaze patterns by age

and think-aloud protocol?

Page 67: Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and Usability Measures

Thank You!

Jennifer Romano Bergstrom

Fors Marsh Group

571.858.3795

[email protected]

@romanocog

Proceedings paper from STC re verbalizations is available.

Eye-tracking paper is forthcoming.