Some pretty pictures of smartphone research projects. Email me if you'd like to know more. C.addyman@bbk.ac.uk

1. Psychology research
on a smartphone:
Some experiments
Dr. Caspar Addyman
Birkbeck, University of London
University of Warwick,
Coventry
Thursday, 9th May 2013

2. Boozerlyzer
TRACX
uMotif

3. Alien Rabble
Addyman, 2009

4. Laboratory Real world

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?”

8. Boozerlyzer

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)

13. http://boozerlyzer.net https://github.com/yourbrain

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)

31. http://leadserv.u-bourgogne.fr/~tracx/

34. http://github.com/YourBrain/TRACX-Web

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

37. uMotif
www.umotif.com

38. Amsterdam, November 2011

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.

42. Strategic Business
Research Initiative
(SBRI)
1 2

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

46. Sleep
Tremor
Dyskinesia
Suppleness
Bradykinesia
Water
Exercise
Mood
Energy
Medication

49. Finger Tapping

50. Numerical Stroop Test

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

61. Thank you!
c.addyman@bbk.ac.uk
@BrainStraining
http://boozerlyzer.net
http://umotif.com

62. Boozerlyzer

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?

64. Boozerlyzer
Bufo alvarius Epipedobates tricolor