Wearables and healthy ageing

Wearables & Healthy Ageing
11th European Conference on Technology Enhanced Learning
EC-TEL 2015, 16 September 2016, Lyon, France
Ilona Buchem / @mediendidaktik
Professor for Media & Communication Sciences
Beuth University of Applied Sciences Berlin

• Fitness trackers, e.g. Sensoria smart
socks & anklet for monitoring foot
landing when running > learn how to run
in a healthy way
• Posture trackers, e.g. Lumo Lift sensor
with biomechanics monitoring measures
and coaches posture > learn how
achieve better posture
• Mental health, e.g. Olive wristband for
stress detection (e.g. recommends
exercises) > learn how to manage stress
in everyday situations
2
Learn how to run well and keep ﬁt
Learn to improve posture and manage stress
Wearable Health & Learning
Wearable Enhanced Learning & Healthy Ageing / Ilona Buchem / EC-TEL 2016 / SIG WELL / 16-09-2016 / CC BY-NC-SA 3.0

3
detects
walking pattern
monitors
hydration level
tracks
movement
monitors blood
pressure
tracks sleep
duration
measures cell
temperature &
warns against
tumors
records every
heart-beat
Source: http://www.mhealthnews.com/content/infographic-are-you-ready-sensors-healthcare

Healthy ageing data
• Physical data including physiological
and context data, e.g. steps, body
position, posture, movement, sleep,
heart rate, sun/light exposure, calories
burnt, humidity, noise.
• Mental data like stress, fear, fatigue,
depression, attention, acuteness by
using biometric indicators, e.g.
brainwave signals/patterns, heart rate,
skin reactions, body temperature
• Social data like interactions and
communication styles, e.g. conversation
analysis, vocal signalling using camera,
microphone, social network data.
4
Individual balance “sphere” at the intersection
of mental, physical and social conditions
Roggen, Arnrich & Tröster (2006)

Research on trackers
Key challenges:
Creating effective interfaces,
interaction designs and
tackling privacy issues!
Research gap:
How are senior users interacting with
wearables and how to leverage
wearables for healthy ageing?

Fitness MOOC
for Healthy Ageing
Wearable fitness trackers as part of the fitness MOOC:
learning through concrete experience > information (trackers)
learning through social interaction > interaction (MOOC features)
learning through guided action > training (plans & content)
learning through play > gamification (badges & battles)
Fitness MOOC / fMOOC
2014 – 2015

Learning at
the computer
Learning with
the computer
Concrete experience
Experiential learning

Course Design
Buchem, Ilona, Merceron, Agathe, Kreutel, Jörn, Haesner, Marten, Steinert, Anika (2015). Wearable-technology Enhanced Learning for
Healthy Ageing: Conceptual Framework and Architecture of the “Fitness MOOC”. Journal of Interaction Design and Architectures,
Focus Section on Innovative Designs with Social, Mobile and Wearable Technologies for Creative Teaching and Learning, 2015.

Buchem et al. (2015): Designing for User Engagement in Wearable-technology Enhanced Learning for Healthy Ageing. iLRN 2015.
System design
1. Fitness tracker sends data
to the ﬁtness tracker app
2. Fitness tracker app sends
data to the FT database
4. fMOOC UI displays
ﬁtness data
3. fMOOC service reads data

content data badges battle
Interaction Design

self- / assessment
feedback / rating
Interaction Design

Sep’15
4 weeks
10 seniors
Oct’15
4 weeks
10 seniors
2 user studies - fMOOC@home
50%50%
All use computers, 86% frequently
All use smartphones, 70% frequently
average age = 69
youngest 62, oldest 75

Wearables & seniors
13
60% found
fitness trackers
very motivating
90% used their fitness tracker on a daily basis
55% would use the entire fMOOC system again
10% would use the fitness tracker only again!
5% found
fitness trackers
not motivating
95% found fitness trackers motivating

Content & achievement
Endurance
training
Strength
training
Group
training
Recovery
day
Training plans
Levels 1 - 3
55% completed all units in the training plan
92.5% rated training content positively

Gamification & motivation
How can gamification enhance motivation to improve physical fitness?
Perfect
Training
Steps
Comments
Feedback
Badges
Correlation between the number of
earned badges and motivation to
exercise more > r(18) = .489; p < 0.5
50% found badges
motivating

Interaction patterns
Perfect Training:
35 % achieved all badges
Steps:
70% achieved all badges
Step goals were easier to achieve than perfect training!

Comments:
„Likes”:
Commenting was more enjoyable than liking!

Battle
average number of
steps per day
The social element“battle”
was the most frequently
viewed element!
Each user visited the
battle on average
18 times per week!

Increase in physical activity
19
*PAQ 50 + BEFORE AFTER p
Total 140,3 193,0 < 0.05
Housework 39,1 48,3 n.s.
Garden work 17,8 12,8 n.s
Leisure 19,6 40,2 n.s
Sport 38,6 73,2 < 0.05
*PAQ 50+ / German Physical Activity Questionnaire 50+

Self-reported changes
20
n = 20
I can sleep better. 4
I have more confidence to exercise. 8
I am more motivated to exercise. 11
I pay more attention to my health. 11
I know more about my health. 12
My overall fitness has improved. 13

Self-assessment
21
Well-being
Endurance
Strength
Mobility
Coordination
0% 25% 50% 75% 100%
10%
10%
5%
10%
5%
20%
10%
20%
5%
20%
35%
30%
45%
40%
65%
35%
30%
40%
52%
55%
55%
60%
50%
50%
30%
45%
60%
40%
43%
25%
good mediocre poor
before
after

User experience
80% enjoyed the overall fMOOC experience
90% would like to continue the fMOOC experience

23
Thank you!
Ilona Buchem / @mediendidaktik
Professor for Media & Communication Sciences
Beuth University of Applied Sciences Berlin

Wearables and healthy ageing

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