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Psychology research
on a smartphone:
Some experiments
Dr. Caspar Addyman
Birkbeck, University of London
University of Warwick,
Coventry
Thursday, 9th May 2013
Boozerlyzer
TRACX
uMotif
Alien Rabble
Addyman, 2009
Laboratory Real world
7 year olds 11 year olds Adults
• Participants do learn! p<0.001
• Learn different categories differently, p<0.003
• Difference between age groups, p<0.002
7 year olds 11 year olds Adults
• “Can I get this on my computer?”
• “I know this game! I’ve got it at home.”
• “Are we doing this every Tuesday?”
Boozerlyzer
Motivations
 How much am I drinking?
 How is this affecting me
cognitively & emotionally?
 Tracking can change
behaviour
 Tracking data is rich data
Motivations 2
 Alcohol is a drug.
 The most widely used
and abused drug
 The most harmful to
individuals
 The most harmful to
society
(ISCD 2010)
http://boozerlyzer.net https://github.com/yourbrain
Open Science / Open Data
boozerlyzer.net
Private
Public
Boozerlyzer results
Addyman (in prep)
Self Reported Happiness
Boozerlyzer results
Addyman (in prep)
Self Reported Energy
Boozerlyzer results
Addyman (in prep)
Self Reported Drunkeness
Boozerlyzer results
Addyman (in prep)
Coordination game Number Stroop game
Boozerlyzer Summary
• Users
• Costs
• Data
• Effects
• Results
TRACX
(French, Addyman & Mareschal, Psych Rev, 2011)
Truncated Recursive Autoassocative
Chunk Extractor
(French, Addyman & Mareschal, Psych Rev, 2011)
http://leadserv.u-bourgogne.fr/~tracx/
http://github.com/YourBrain/TRACX-Web
Computational modeling manifesto
(Addyman & French, ToPICS, 2012)
1.Let EVERYONE run your simulations
(easily)
2.Let motivated users adjust parameters/
run their own simulations
3.Let other modelers use your code
4. Write good documentation
5. Clear mapping between model and empirical data
6. Show internal structure
7. Allow import/export to Excel, etc
uMotif
www.umotif.com
Amsterdam, November 2011
Parkinson’s Disease
• Neurodegenerative condition due to death of
dopamine producing cells in brain.
• Motor / movement related symptoms
• Later cognitive problems & effects of
medication
• Levodopa (L-DOPA), a dopamine precursor
• Affects 1.1 million people in Europe (127,000 in
UK)
• Cost of care/medication €10.7billion per year (
€7,000 per patient per year.)
• Symptoms can be highly sensitive to dose and
timing of medication.
Strategic Business
Research Initiative
(SBRI)
1 2
SBRI
• Phase 1 funding £75,000 from NHS Health
Enterprise East
• 6 month development and pilot testing
• Lambert 4 commercial agreement between
Birkbeck & uMotif
• Research costs
• 5% royalty on sales
• Cure Parkinson’s Trust – access to people with
Parkinson’s
Sleep
Tremor
Dyskinesia
Suppleness
Bradykinesia
Water
Exercise
Mood
Energy
Medication
Finger Tapping
Numerical Stroop Test
Randomized Control Trial
• 40 participants in two groups
• PARTIAL - Self report only
• FULL - Self report + objective measures
• Use tracker for 2 months
• Questionnaires before & after:
• Medicine compliance
• Parkinson’s symptoms
• Oxford Happiness Index
• Multidimensional Personality assessment
• Quality of Life Scale for people with
chronic illness
Trial: 41 recruited,
26 used application,
16 completed de-briefing
70%
Av. daily use during 2
month trial period
“Excellent in conception
and ease of use”
“I find it very attractive &
extremely easy to use”
Patient Feedback:
Pre & post test questionnaires (n=16)
74
76
78
80
82
84
86
88
90
92
START END
PDQ-39Score
PDQ-39 Scores
FULL APP
LIMITED
APP
0
2
4
6
8
10
12
14
16
18
START END
NMSScore
Non-Motor Symptoms
FULL APP
LIMITED
APP
0
2
4
6
8
10
12
14
16
18
START END
QOLSScore
Quality of Life Score (QOLS)
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
START END
MedicinesScore
Moritsky Medicines compliance
(Higher is worse)
FULL APP
LIMITED APP
In – App data - Parkinson’s symptoms
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelfRating
Suppleness scores
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelf
Rating
Tremor scores
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelfRating
Dyskinesia scores
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelfRating
Bradykinesia scores
FULL APP
LIMITED
APP
In – App data - Mood, Energy & Sleep
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelfRating
Mood scores
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelf
Rating
Energy scores
FULL APP
LIMITED
APP
**
† p<.1, ** p<.01
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelf
Rating
Sleep scores
FULL APP
LIMITED
APP
†
In – App data - Health Behaviours
***
* p<.05, *** p<.005
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelfRating
Water scores
FULL APP
LIMITED
APP
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelf
Rating
Exercise scores
FULL APP
LIMITED
APP
*
1
1.5
2
2.5
3
3.5
4
4.5
5
START END
AverageSelf
Rating
Medication scores
FULL APP
LIMITED
APP
Phase 2 - FUNDED
300 patient multi-centre test lasting 6 months
Suvankar Pal,
Rowling Centre and Forth
Valley
Mo
Albazzaz, Barnsl
ey Hospital
Ben Chico,
Rotherham
Ray
Chaudhuri, Kings
College
Julian Fearnley,
Barts and The Royal
London
Beverly Castleton,
St Peter’s
Hospital, Surrey
Andrew
Fowlie, NHS
Grampian
Max Little,
Aston University
IoN
Parkinson’s Tracker
• Users
• Costs
• Data
• Effects
• Results
Thank you!
c.addyman@bbk.ac.uk
@BrainStraining
http://boozerlyzer.net
http://umotif.com
Boozerlyzer
• 57 new recreational
drugs in EU in 2012
(EMCDDA)
• Most casual drug users
are poly drug users
• Self experimentation
requires better data
• Big data = better data
http://www.flickr.com/photos/genista/249525571/
The next step.. other drugs?
Boozerlyzer
Bufo alvarius Epipedobates tricolor

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Psychology research on smartphone experiments

  • 1. Psychology research on a smartphone: Some experiments Dr. Caspar Addyman Birkbeck, University of London University of Warwick, Coventry Thursday, 9th May 2013
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  • 6. 7 year olds 11 year olds Adults • Participants do learn! p<0.001 • Learn different categories differently, p<0.003 • Difference between age groups, p<0.002
  • 7. 7 year olds 11 year olds Adults • “Can I get this on my computer?” • “I know this game! I’ve got it at home.” • “Are we doing this every Tuesday?”
  • 9. Motivations  How much am I drinking?  How is this affecting me cognitively & emotionally?  Tracking can change behaviour  Tracking data is rich data
  • 10. Motivations 2  Alcohol is a drug.  The most widely used and abused drug  The most harmful to individuals  The most harmful to society (ISCD 2010)
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  • 23. Open Science / Open Data boozerlyzer.net Private Public
  • 24. Boozerlyzer results Addyman (in prep) Self Reported Happiness
  • 25. Boozerlyzer results Addyman (in prep) Self Reported Energy
  • 26. Boozerlyzer results Addyman (in prep) Self Reported Drunkeness
  • 27. Boozerlyzer results Addyman (in prep) Coordination game Number Stroop game
  • 28. Boozerlyzer Summary • Users • Costs • Data • Effects • Results
  • 29. TRACX (French, Addyman & Mareschal, Psych Rev, 2011)
  • 30. Truncated Recursive Autoassocative Chunk Extractor (French, Addyman & Mareschal, Psych Rev, 2011)
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  • 35. Computational modeling manifesto (Addyman & French, ToPICS, 2012) 1.Let EVERYONE run your simulations (easily) 2.Let motivated users adjust parameters/ run their own simulations 3.Let other modelers use your code 4. Write good documentation 5. Clear mapping between model and empirical data 6. Show internal structure 7. Allow import/export to Excel, etc
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  • 41. Parkinson’s Disease • Neurodegenerative condition due to death of dopamine producing cells in brain. • Motor / movement related symptoms • Later cognitive problems & effects of medication • Levodopa (L-DOPA), a dopamine precursor • Affects 1.1 million people in Europe (127,000 in UK) • Cost of care/medication €10.7billion per year ( €7,000 per patient per year.) • Symptoms can be highly sensitive to dose and timing of medication.
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  • 44. SBRI • Phase 1 funding £75,000 from NHS Health Enterprise East • 6 month development and pilot testing • Lambert 4 commercial agreement between Birkbeck & uMotif • Research costs • 5% royalty on sales • Cure Parkinson’s Trust – access to people with Parkinson’s
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  • 52. Randomized Control Trial • 40 participants in two groups • PARTIAL - Self report only • FULL - Self report + objective measures • Use tracker for 2 months • Questionnaires before & after: • Medicine compliance • Parkinson’s symptoms • Oxford Happiness Index • Multidimensional Personality assessment • Quality of Life Scale for people with chronic illness
  • 53. Trial: 41 recruited, 26 used application, 16 completed de-briefing 70% Av. daily use during 2 month trial period “Excellent in conception and ease of use” “I find it very attractive & extremely easy to use” Patient Feedback:
  • 54. Pre & post test questionnaires (n=16) 74 76 78 80 82 84 86 88 90 92 START END PDQ-39Score PDQ-39 Scores FULL APP LIMITED APP 0 2 4 6 8 10 12 14 16 18 START END NMSScore Non-Motor Symptoms FULL APP LIMITED APP 0 2 4 6 8 10 12 14 16 18 START END QOLSScore Quality of Life Score (QOLS) FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 START END MedicinesScore Moritsky Medicines compliance (Higher is worse) FULL APP LIMITED APP
  • 55. In – App data - Parkinson’s symptoms 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelfRating Suppleness scores FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelf Rating Tremor scores FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelfRating Dyskinesia scores FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelfRating Bradykinesia scores FULL APP LIMITED APP
  • 56. In – App data - Mood, Energy & Sleep 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelfRating Mood scores FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelf Rating Energy scores FULL APP LIMITED APP ** † p<.1, ** p<.01 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelf Rating Sleep scores FULL APP LIMITED APP †
  • 57. In – App data - Health Behaviours *** * p<.05, *** p<.005 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelfRating Water scores FULL APP LIMITED APP 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelf Rating Exercise scores FULL APP LIMITED APP * 1 1.5 2 2.5 3 3.5 4 4.5 5 START END AverageSelf Rating Medication scores FULL APP LIMITED APP
  • 58. Phase 2 - FUNDED 300 patient multi-centre test lasting 6 months Suvankar Pal, Rowling Centre and Forth Valley Mo Albazzaz, Barnsl ey Hospital Ben Chico, Rotherham Ray Chaudhuri, Kings College Julian Fearnley, Barts and The Royal London Beverly Castleton, St Peter’s Hospital, Surrey Andrew Fowlie, NHS Grampian Max Little, Aston University
  • 59. IoN
  • 60. Parkinson’s Tracker • Users • Costs • Data • Effects • Results
  • 63. • 57 new recreational drugs in EU in 2012 (EMCDDA) • Most casual drug users are poly drug users • Self experimentation requires better data • Big data = better data http://www.flickr.com/photos/genista/249525571/ The next step.. other drugs?

Notas do Editor

  1. Users1000+ downloads300+ registrations200+ users~30 active usersCosts~£100500 hoursDataRich, ecologically valid (?), potentially endlessMessy, patchy,EffectsOtherCodereuseable