SleepKit A Mobile Sleep Tracking Application for Promoting Healthy - - PowerPoint PPT Presentation

SleepKit

A Mobile Sleep Tracking Application for Promoting Healthy Sleep Behavior

Supervisors:

Joris Klerkx Elena Smets

Pieter Robberechts

http://probberechts.github.io/thesis

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

MOTIVATION

Adequate sleep is a key part of a healthy lifestyle. 35 percent of Americans report their sleep quality as “poor” or “only fair” First step towards an improved sleep quality = improve sleep hygiene Engagement with data collection enhances people’s awareness and provides an

• pportune moment to reflect on their behaviors

Self trackers are attracting a lot of users

SLEEPKIT: a mobile phone sleep tracking application

to help promote awareness about healthy sleep habits and improve sleep quality

GOAL OF THIS THESIS

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality?

What is good / bad? How to improve Prompt change

GOAL OF THIS THESIS

What is good / bad?

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality?

Is this normal? Not enough? What should it look like?

GOAL OF THIS THESIS

What is good / bad?

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality?

LIGHT SLEEP DEEP SLEEP

%

GOAL OF THIS THESIS

Stop drinking caffeine Stop drinking alcohol Finish excercising Sleep! Turn of electronics Avoid heavy meals Stop working, studying and stressing 6 HRS 4 HRS 3 HRS 5 HRS 2 HRS 1 HRS 0 HRS

What is good / bad? How to improve

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality?

GOAL OF THIS THESIS

What is good / bad? How to improve Prompt change

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality?

GOAL OF THIS THESIS

What is good / bad? How to improve Prompt change

How can a sleep tracking application promote healthy sleep behavior and contribute to a better sleep quality? HealthPatch sensor (IMEC):

• 2-lead ECG
• 3-axis accelerometer

→ WAKE, REM, DEEP, LIGHT

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

EXPERIMENT DESIGN

Initial session Final session In the field

10 participants 7 nights

• Sleep with HealthPatch
• Daily synchronize
• Reflect on the tracked

data Questionnaire:

• SUS
• Interpretability
• Awareness
• Motivation

Informed consent Entrance questionnaire

• Demographics
• Sleep quality (PSQI)

Tutorial Discussion

+

PARTICIPANTS

10 Participants Their sleep quality: Their knowledge of sleep hygiene:

Know that caffeine should be avoided in the evening Know the effect of alcohol on sleep Can name at least 6 sleep hygiene recommendations

1O 7

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

USABILITY

USABILITY

I think that I would like to use this system frequently

5 4 3 2 1

USABILITY

I found the system unnecessarily complex

5 4 3 2 1

USABILITY

WORST IMAGINABLE POOR OK GOOD BEST IMAGINABLE EXCELLENT

DP1 DP3 Experiment

• A. Bangor, P. Kortum, and J. Miller, “Determining what individual SUS scores mean: Adding an

adjective rating scale,” Journal of usability studies, vol. 4, no. 3, pp. 114–123, may 2009.

Experiment

• Q1. Easy to tell if quality of night is good /

bad

• Q2. Easy to compare quality of nights
• Q3. Easy to judge sleep pattern

G1: INTERPRETABILITY

• Q4. Easy to link poor sleep quality to cause
• Q5. Learned all term quickly
• Q6. No irrelevant information

4

• Q1. More aware of importance of sleep

hygiene

• Q2. Learned something new about sleep

hygiene

G2: AWARENESS

• Q4. Learned something new about my sleep

pattern

• Q5. Learned how to improve some poor

elements

• Q1. Spent more attention on sleep hygiene
• Q2. Spent more attention on sleep pattern
• Q3. Motivated because of tracking

G3: MOTIVATION

• Q4. Sleep hygiene tips had an effect
• Q5. Motivated by seeing effect in tracked

data

• Q6. Bedtime notifications motivated me

3 1 2 4

Goal and Motivation Iterative Development Demo Experiment Results Conclusions

Conslusions

Users are more interested in tracking their sleep than improving their sleep quality

BUT:

• See sleep hygiene recommendations as an

added value

• A reason to check the app daily
• Encourages self reflection

http://www.sarahvanbelle.be/The-Quantified-Self

Conslusions

Risk for demotivation

BECAUSE:

• Effect is not always immediate
• Sleep tracking is not 100% accurate

→ false negative data

http://33minutes.net/

Conslusions

SleepKit has the potential to promote healthy sleep behavior

DATA:

• 7 users got more aware
• f the importance of sleep hygiene
• 8 users learned something new

about sleep hygiene

• 6 users spent more attention on

their sleep hygiene / sleep pattern

http://sleepsloth.com/

Thanks!

Any questions?

Literature Implementation Sleep Stage Classification Iterative Development

SHUTEYE

• J. S. Bauer, S. Consolvo, B. Greenstein, J. Schooler, E. Wu, N. F. Watson, and J. a. Kientz, “ShutEye: Encouraging

awareness of healthy sleep recommendations with a mobile, peripheral display,” Human Factors in Computing Systems (CHI Conference), pp. 1401–1410, 2012.

SLEEPTIGHT

• E. K. Choe, B. Lee, M. Kay, W. Pratt, and J. A. Kientz, “SleepTight: Low-burden, Self-monitoring Technology for

Capturing and Reflect- ing on Sleep Behaviors,” Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’15), pp. 121–132, 2015.

LIGHTS OUT

• W. V. Chen, M. Sra, and R. W. Picard. Improving Sleep-Wake Schedule Using Sleep Behavior Visualization and a

Bedtime Alarm. In MobiHealth, pages 0–3. ICST, dec 2015.

COMMERCIAL APPS

Literature Implementation Sleep Stage Classification Iterative Development

IMPLEMENTATION: DATA SYNCHRONIZATION

IMPLEMENTATION: MVP

Literature Implementation Sleep Stage Classification Iterative Development

ML APPROACH

QRS PEAK DETECTION

EDR

BASELINE WANDER

BASELINE WANDER REMOVAL

Literature Implementation Sleep Stage Classification Iterative Development

PAPER PROTOTYPE

DIGITAL PROTOTYPE 1

Main ideas:

• Clock based metaphor for ideal

preparation of a night

• A quick overview of the quality of

the previous nights

DIGITAL PROTOTYPE 1

Evaluation results:

• 36 possible usability problems
• Glanceability problem
• Confusing: two days visible on

circle

• What do colors mean?
• What is clickable
• Too dense to click on icons

SUS score: 72 [64, 83]

DIGITAL PROTOTYPE 2

Main ideas:

• Vertical timeline to create more

space

• Show by default only data most

relevant at the current time + scroll for older data

DIGITAL PROTOTYPE 2

Evaluation results:

• Same problem: too dense

DIGITAL PROTOTYPE 3

Main ideas:

• Split sleep hygiene information and

tracked data

DIGITAL PROTOTYPE 3

Evaluation results:

• Horizontal scrollable areas

→ add shadow at borders

• What is clickable

→ add shadow below

SUS score: 81 [75, 87.5]

FINAL VERSION

Main ideas:

• Small improvements
• Bugfixes