SleepKit - people.cs.kuleuven.bepieter.robberechts/notes/thesis CW... · Adequate sleep is a key...
Transcript of SleepKit - people.cs.kuleuven.bepieter.robberechts/notes/thesis CW... · Adequate sleep is a key...
SleepKitA Mobile Sleep Tracking Application for Promoting Healthy Sleep Behavior
Supervisors:Joris Klerkx Elena Smets
Pieter Robberechtshttp://probberechts.github.io/thesis
Goal and MotivationIterative DevelopmentDemoExperimentResultsConclusions
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
opportune 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 HRS5 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 MotivationIterative DevelopmentDemoExperimentResultsConclusions
Goal and MotivationIterative DevelopmentDemoExperimentResultsConclusions
Goal and MotivationIterative DevelopmentDemoExperimentResultsConclusions
EXPERIMENT DESIGN
Initial session Final sessionIn 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
0
Goal and MotivationIterative DevelopmentDemoExperimentResultsConclusions
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 nightsQ3. Easy to judge sleep pattern
G1: INTERPRETABILITY
Q4. Easy to link poor sleep quality to cause
Q5. Learned all term quicklyQ6. No irrelevant information
4
Q1. More aware of importance of sleephygiene
Q2. Learned something new about sleephygiene
G2: AWARENESS
Q4. Learned something new about my sleeppattern
Q5. Learned how to improve some poorelements
Q1. Spent more attention on sleep hygieneQ2. Spent more attention on sleep pattern
Q3. Motivated because of tracking
G3: MOTIVATION
Q4. Sleep hygiene tips had an effectQ5. Motivated by seeing effect in tracked
dataQ6. Bedtime notifications motivated me
31
2
4
Goal and MotivationIterative DevelopmentDemoExperimentResultsConclusions
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
of 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?
LiteratureImplementationSleep Stage ClassificationIterative 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
LiteratureImplementationSleep Stage ClassificationIterative Development
IMPLEMENTATION: DATA SYNCHRONIZATION
IMPLEMENTATION: MVP
LiteratureImplementationSleep Stage ClassificationIterative Development
ML APPROACH
QRS PEAK DETECTION
EDR
BASELINE WANDER
BASELINE WANDER REMOVAL
LiteratureImplementationSleep Stage ClassificationIterative 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