behavioural science for wearable technology and the quantified workplace

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Behavioural science for wearable technology and the quantified workplace Dr Lukasz Piwek

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Behavioural sciencefor wearable technology

and the quantified workplace

Dr Lukasz Piwek 

GPS tracescan be usedto tell your identity and predictwhere you are likely to go next

?de Montjoye et al. (2013a) Song et al. (2010) Do & Garcia-Perez (2014)

stress level can be detectedwith 80% accuracyby capturing only a few wordswith microphoneLu et al. (2012)

call logs, SMS logs,Bluetooth scans, and application usagecan be used to predict personality traitswith up to 70% accuracyde Montjoye et al. (2013b) Chittaranjan et al. (2013)

accelerometerscan be used to predict whether you’re sitting,walking, jogging, cycling, driving or sleepingwith up to 95% accuracyKhalil & Glal, 2009 He & Li, 2013 Behar et al. (2013)

Image source: Apple, Nike, Fitbit, Motorola, Jawbone, Microsoft, Withings, Neurosky, Duoferility, Nuubo

=

Headbands

Camera clips

Sensors embedded in clothing

Smartwatches

Sociometric badges

OXI

ALTECG EMG

EEG

OXI

ALT

ECG

EMG

EEG

Accelerometer

Electrocardiogram

Microphone

Oximeter

Electromyorgaph

Electroencephalogram

Thermometer

Electrodermograph

Location GPS

Digital camera

Bluetooth proximity

Pressure

Altimeter

Consumer health wearablesPiwek, Ellis, Andrews, Joinson (2016) PLOS Medicine: 13 (2): e1001953

self-monitoring + feedback

continuousintelligentdetailed

instantpersonalised

Festinger, 1954 Mcfall and Hammen,1971 Kirsenbaum et al., 1981 Bandura, 1997 Wilbur et al., 2003 Womble et al., 2004 Williams et al., 2007 Du et al., 2011 Swan, 2012 Bird et al., 2013

high blood pressurehigh cholesterol levelphysical inactivityobesity

45%*

*NHS The Atlas of Risk (2014)

Those three devices accounted for

97%of all smartphone-enabledactivity trackers sold in 2013**cmo.com

Fitbit Jawbone UP Nike Fuelband

Battery life

Data access

User interface

Reliability SecurityData ownership

Build qualityFeedback

Fitbit Jawbone UP Nike Fuelband

distance per day (km)

days

squash

gymsquash

5

10

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

fuelband

jawbone

average distance over 30 days (km)

0 2 4 6 8

“Each new device should reduce the complexity of the system and increase the value of everything else in the ecosystem.”

Bill Buxton

*Ledger et al. (2014)

0%

25%

50%

75%

100%

0 3 6 9 12 15 18 21 24

time (months)

rate of sustained

use (%)

32% drop rate within 6 months

50% drop rate after 12 months

Self-monitoring in cyclingPiwek, Joinson, Morvan (2015) Transportation Research Part A: 77, 126–136

33 featuresperformance (e.g. tracking speed, distance traveled) social (e.g. joining challenges against other cyclists) mapping (e.g. viewing map with directions) other (e.g. answering a call)

speed distance duration

simplicity,utility & relevanceis critical

vsfree1 year

13Non-trackers

Initial survey

Debriefing interview

5 weeks

12Trackers

+5 weeks

your time?16th monday

traveledto campus?

why notcycling?

how?

?

==

>

norms beliefs

attitudes motivations

personality traits cultural influences

socio-economic factors

“Strava louts” & Big Behavioural Cycling DataProject in progress

“Quantified runner”Project in progress

Project in progress Quantified workplace

on off

Andrews, Ellis, Shaw, Piwek (2015) PLOS One 10 (10): e0139004

Smartphone research methods

PSYCHOLOGYSENSOR LAB

TMNetPropagateSystems

TM

Project in preparation PhD student co-supervision

Digital footprints for behavioural profiling

PSYCHOLOGYSENSOR LAB

TMNetPropagateSystems

TM

Project in preparation Awaiting grant application outcomes

Sociometric wearables for research

PSYCHOLOGYSENSOR LAB

TMNetPropagateSystems

TM

“(…) without the proper behavioural design, without considering how new products and services fit into people's day-to-day lives, any new technology can be terrifying. That's where the challenge comes in. The task of making (new technology, new world version) can't be left up to engineers and technologists alone - otherwise we will find ourselves overrun with amazing capabilities that people refuse to take advantage of.”Cliff Kuang Wired 10/2013

Prof Adam Joinson | BathDr David Ellis | LancasterDr Phoebe Moore | MiddlesexDr Sally Andrews | Nottingham TrentProf Alan Tapp | UWE Dr Fiona Spotswood | UWE

[email protected]@lukaszpiwekmotioninsocial.com

Thank you!