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Mental Workload Alerts
Reliable Brain Measurements
of HCI using fNIRS
Max L. Wilson
@gingdottwit
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Talk Topic Breakdown
Reliable Brain Measurements
of HCI using fNIRS
2
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Talk Topic Breakdown
Reliable Brain Measurements
of HCI using fNIRS
Human-Computer Interaction
(doing work tasks, using software, etc)
3
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Talk Topic Breakdown
Reliable Brain Measurements
of HCI using fNIRS
functional Near Infrared Spectroscopy
(blood oxygen sensor for the brain)
4
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Our fNIRS - fully portable
• This is a fully portable fNIRS
- bluetooth connection
- Most commercially user friendly
5
Artinis: Octomon
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Talk Topic Breakdown
Reliable Brain Measurements
of HCI using fNIRS
We can trust the data from uncontrolled conditions
(not limiting interaction or body position)
6
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
To-Say List
• Research Background
• Workload Alerts
• Future Directions
7
Research Background
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
9
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
10
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
User Interfaces
11
Great Complexity
and Confusion
With Great Power
Comes
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
12
Total Mental Capacity
Simple UI
EasyTask
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
13
Total Mental Capacity
Complicated UI
EasyTask
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
14
Total Mental Capacity
Complicated UI
DifficultTask
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
15
Total Mental Capacity
Better UI
DifficultTask
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Mental Workload
16
Sharples, Sarah and Megaw Ted (2015). De nition and mesurement of human workload.
In Wilson John R and Sharples Sarah, editors, Evaluation of human work. CRC Press.
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Most important criteria for us
• We can run a ‘normal’ user study.
• As much ecological validity in
- the environment they do the study
- natural user behaviour in the study
- as normal/natural a task as possible
• And tell if theres a cognitive difference between UIs or Tasks
17
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Which Brain Scanner?
18
M. Pike (2017) Exploring the use of Brain-Sensing Technologies for Natural Interactions. PhD Thesis. University of Nottingham.
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
fNIRS
• Began in 1977
Frans Jobsis
• 700-900nm sees through tissue/bone
• But is absorbed by hemoglobin
- oxygenated and deoxygenated
• Measure either side of cross-over
- (isobestic point)
• Modified Beer-Lambert Law used to
calculate relative concentration of each
19
By Adrian Curtin - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=20510064
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Change in oxygenated hemoglobin
20
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
21
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Comparing responses
22
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Showing that fNIRS works for HCI
• CHI2014: fNIRS + Think Aloud
• CHI2015: fNIRS vs HCI Artefacts
• CHI2015: 3 UIs create
different Mental Workload
• Horia Maior & Matthew Pike
• Working with Prof. Sarah Sharples
23
Workload Alerts
ToCHI Article
Presented at CHI2018
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
25
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Horia on Computerphile
26
https://www.youtube.com/watch?v=TQ0sL1ZGnQ4
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
When do you need to know MWL?
27
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
How to measure MWL?
• Performance based
• Subjective techniques
• NASA-TLX
• ISA - Instantaneous self-assessment of workload technique
• Physiological approach
• Indirect: Skin response, heart based measurements, etc.
• Direct: brain measurements: e.g. fNIRS
28
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
NASA Task Load Index (TLX)
• Using a 21-point subjective
questionnaire
• Captures 6 subscales:
• Mental Demand
• Physical Demand
• Temporal Demand
• Performance
• Effort
• Frustration
• Developed for demanding jobs
• Physically
• Mentally
29
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Instantaneous Self Assessment (ISA)
• ‘Continuous’ subjective technique
(could be an app while performing a study task)
• On Regular intervals during a study
(e.g. every 30 sec)
• Popular in analysis critical industry tasks
• BUT - it interrupts those tasks
30
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Workload Alerts: Aim
• What if we provide feedback of workload to people during tasks?
• Assess workload objectively using fNIRS
• Help people manage their workload during tasks
• Facilitate a form of Reflection-in-Action during tasks
(similar effect as ISA?)
31
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Related - Dynamic Adjustment, fNIRS
32
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Workload Alerts System
33
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Workload Alerts System
34
VS
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Task: Airport Madness 4
35
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Hypotheses (Complex)
36
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Hypotheses Simplified
• H1: High Demand »» High MWL
• H2: Performance w/ Feedback > Performance w/ ISA?
• H3: Perception of [H2]
• H4: MWL Feedback »» Taking Action
37
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Participants & Conditions
• 32 subjects
• Counterbalanced
• Average age: 25.3
• 4 Conditions * 7 min
38
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Dependent Variables
• Demand
• Number of airplanes on the screen every 30 seconds
• Task Performance
• Performance outcomes (number of planes landed, take-offs)
• Perceived performance
• five point rating scale (1 - poor, 5 - excellent)
• Subjective ratings
• ISA - 30 sec interval
• Objective measures
• fNIRS
39
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Config & Monitoring
• Tracking MWL
• Config using study task
• Thus also practice round for participants
• 3 variations of demand
• Rest
• Low-Normal Load (3-5 aeroplanes)
• Normal-High Load (>7 aeroplanes)
• State tracking
• Using a rolling average of 30 seconds
• Monitoring the most sensitive channel
40
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Choice of Feedback
• Noticeable
• Two states of interest:
• Low workload
• High Workload
• Hue Bulbs (Red and White Colours were used for feedback)
• Two Pronged approach:
• Phase1: Red for High Workload and White for Low workload
• Phase2: Reversed Phase1
41
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Choice of Feedback
42
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H1: High Demand »» High MWL
43
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H1: High Demand »» High MWL
44
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H2: Perf. w/ Feedback > Perf. w/ ISA?
45
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H2: Perf. w/ Feedback > Perf. w/ ISA?
46
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H3: Perception of [H2]
47
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H3: Perception of [H2]
48
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
H4: MWL Feedback »» Taking Action
49
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Takeaways
• ISA increases demand »» impact on performance
• Conversely, no evidence of negative impact of MWL Feedback
• But - we didn’t manage to see change in behaviour.
• RED IS SCARY - not a good feedback mechanism
50
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
fNIRS affected by Stress?
51
Norah Alsuraykh
Co-supervised by Paul Tennant and Sarah Sharples
New EPSRC Grant
EP/R032718/1
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
DigiTOP Grant
• Digital Toolkit for optimisation of operators and technology
in manufacturing partnerships (DigiTOP)
- £1.9M / 3 years
- PI: Prof Sarah Sharples (Nottingham)
• Global shift towards digital manufacturing techniques
• Physical Workload » Mental Workload
• Traditional Human Factors » Cognitive Ergonomics
53
http://digitop.ac.uk
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Facial Thermography vs fNIRS
54
Adrian Marinescu
See Computerphile on YouTube
And many other sensors, including Posture Analysis
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Current Study
• Aim: identify overload and underload
• Aim: identify periods of mind-wandering
• 40 participants in Sustained Attention task
• Low demand High Demand
•
55
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Example fNIRS data
56
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Blink rate during mind-wandering
57
New Horizon 2020 Grant
Fast Track to Innovation Fund
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Alzheimer’s Protection Shield
• Pre-symptomatic Alzheimer’s disease detection & prevention
- H2020 Fast Track to Innovation Fund (€2.4M)
• Brain+, Aarhus, Oxford, Nottingham
- Mixed Reality Lab & MindTech
• Overall - develop ‘Brain Coaching’ app from Brain+
• Nottingham Aims:
- Longitudinally (5 points) study non-patient adults
- Patient Engagements with Alzeimer’s patient groups
- Develop early evidence for future NHS trials
59
Brain Data as Personal Data
A Fitbit for the brain?
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Brain Data as Personal Data
• Can he measure fNIRS in the wild?
• A series of studies planned
- in increasingly mobile contexts
- additional physiological data
• Bringing in some machine learning
61
Horia Maior
EPSRC Prize
(2 years postdoc)
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Brain Data as Personal Data
62
Discussion of
MWL
Phase 1
Discussion of
High and Low
MWL
Descriptions
Phase 2
Interpreting
drawings from
interviews
Phase 3
Producing
metaphors based on
descriptions of
someones daily
activities
Phase 4
Phase 5
Prototype
Discussion
Suitable
representation?
Analyse and reflect
on individuals day?
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Brain Data as Personal Data
• Has an MSc in Brain Imaging
• Industry Sponsor: Brain+ (Copenhagen)
• Proposed Plan: study diary-like brain data
• Perhaps: in relation to brain training data (Brain+)
63
Serena Midha
New PhD Student
Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw
Questions?
64

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Mental Workload Alerts - Reliable Brain Measurements of HCI using fNIRS - Leicester University, 2019

  • 1. Mental Workload Alerts Reliable Brain Measurements of HCI using fNIRS Max L. Wilson @gingdottwit
  • 2. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Talk Topic Breakdown Reliable Brain Measurements of HCI using fNIRS 2
  • 3. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Talk Topic Breakdown Reliable Brain Measurements of HCI using fNIRS Human-Computer Interaction (doing work tasks, using software, etc) 3
  • 4. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Talk Topic Breakdown Reliable Brain Measurements of HCI using fNIRS functional Near Infrared Spectroscopy (blood oxygen sensor for the brain) 4
  • 5. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Our fNIRS - fully portable • This is a fully portable fNIRS - bluetooth connection - Most commercially user friendly 5 Artinis: Octomon
  • 6. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Talk Topic Breakdown Reliable Brain Measurements of HCI using fNIRS We can trust the data from uncontrolled conditions (not limiting interaction or body position) 6
  • 7. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw To-Say List • Research Background • Workload Alerts • Future Directions 7
  • 9. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 9
  • 10. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 10
  • 11. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw User Interfaces 11 Great Complexity and Confusion With Great Power Comes
  • 12. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 12 Total Mental Capacity Simple UI EasyTask
  • 13. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 13 Total Mental Capacity Complicated UI EasyTask
  • 14. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 14 Total Mental Capacity Complicated UI DifficultTask
  • 15. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 15 Total Mental Capacity Better UI DifficultTask
  • 16. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Mental Workload 16 Sharples, Sarah and Megaw Ted (2015). De nition and mesurement of human workload. In Wilson John R and Sharples Sarah, editors, Evaluation of human work. CRC Press.
  • 17. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Most important criteria for us • We can run a ‘normal’ user study. • As much ecological validity in - the environment they do the study - natural user behaviour in the study - as normal/natural a task as possible • And tell if theres a cognitive difference between UIs or Tasks 17
  • 18. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Which Brain Scanner? 18 M. Pike (2017) Exploring the use of Brain-Sensing Technologies for Natural Interactions. PhD Thesis. University of Nottingham.
  • 19. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw fNIRS • Began in 1977 Frans Jobsis • 700-900nm sees through tissue/bone • But is absorbed by hemoglobin - oxygenated and deoxygenated • Measure either side of cross-over - (isobestic point) • Modified Beer-Lambert Law used to calculate relative concentration of each 19 By Adrian Curtin - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=20510064
  • 20. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Change in oxygenated hemoglobin 20
  • 21. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 21
  • 22. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Comparing responses 22
  • 23. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Showing that fNIRS works for HCI • CHI2014: fNIRS + Think Aloud • CHI2015: fNIRS vs HCI Artefacts • CHI2015: 3 UIs create different Mental Workload • Horia Maior & Matthew Pike • Working with Prof. Sarah Sharples 23
  • 25. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw 25
  • 26. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Horia on Computerphile 26 https://www.youtube.com/watch?v=TQ0sL1ZGnQ4
  • 27. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw When do you need to know MWL? 27
  • 28. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw How to measure MWL? • Performance based • Subjective techniques • NASA-TLX • ISA - Instantaneous self-assessment of workload technique • Physiological approach • Indirect: Skin response, heart based measurements, etc. • Direct: brain measurements: e.g. fNIRS 28
  • 29. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw NASA Task Load Index (TLX) • Using a 21-point subjective questionnaire • Captures 6 subscales: • Mental Demand • Physical Demand • Temporal Demand • Performance • Effort • Frustration • Developed for demanding jobs • Physically • Mentally 29
  • 30. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Instantaneous Self Assessment (ISA) • ‘Continuous’ subjective technique (could be an app while performing a study task) • On Regular intervals during a study (e.g. every 30 sec) • Popular in analysis critical industry tasks • BUT - it interrupts those tasks 30
  • 31. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Workload Alerts: Aim • What if we provide feedback of workload to people during tasks? • Assess workload objectively using fNIRS • Help people manage their workload during tasks • Facilitate a form of Reflection-in-Action during tasks (similar effect as ISA?) 31
  • 32. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Related - Dynamic Adjustment, fNIRS 32
  • 33. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Workload Alerts System 33
  • 34. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Workload Alerts System 34 VS
  • 35. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Task: Airport Madness 4 35
  • 36. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Hypotheses (Complex) 36
  • 37. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Hypotheses Simplified • H1: High Demand »» High MWL • H2: Performance w/ Feedback > Performance w/ ISA? • H3: Perception of [H2] • H4: MWL Feedback »» Taking Action 37
  • 38. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Participants & Conditions • 32 subjects • Counterbalanced • Average age: 25.3 • 4 Conditions * 7 min 38
  • 39. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Dependent Variables • Demand • Number of airplanes on the screen every 30 seconds • Task Performance • Performance outcomes (number of planes landed, take-offs) • Perceived performance • five point rating scale (1 - poor, 5 - excellent) • Subjective ratings • ISA - 30 sec interval • Objective measures • fNIRS 39
  • 40. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Config & Monitoring • Tracking MWL • Config using study task • Thus also practice round for participants • 3 variations of demand • Rest • Low-Normal Load (3-5 aeroplanes) • Normal-High Load (>7 aeroplanes) • State tracking • Using a rolling average of 30 seconds • Monitoring the most sensitive channel 40
  • 41. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Choice of Feedback • Noticeable • Two states of interest: • Low workload • High Workload • Hue Bulbs (Red and White Colours were used for feedback) • Two Pronged approach: • Phase1: Red for High Workload and White for Low workload • Phase2: Reversed Phase1 41
  • 42. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Choice of Feedback 42
  • 43. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H1: High Demand »» High MWL 43
  • 44. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H1: High Demand »» High MWL 44
  • 45. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H2: Perf. w/ Feedback > Perf. w/ ISA? 45
  • 46. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H2: Perf. w/ Feedback > Perf. w/ ISA? 46
  • 47. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H3: Perception of [H2] 47
  • 48. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H3: Perception of [H2] 48
  • 49. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw H4: MWL Feedback »» Taking Action 49
  • 50. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Takeaways • ISA increases demand »» impact on performance • Conversely, no evidence of negative impact of MWL Feedback • But - we didn’t manage to see change in behaviour. • RED IS SCARY - not a good feedback mechanism 50
  • 51. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw fNIRS affected by Stress? 51 Norah Alsuraykh Co-supervised by Paul Tennant and Sarah Sharples
  • 53. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw DigiTOP Grant • Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP) - £1.9M / 3 years - PI: Prof Sarah Sharples (Nottingham) • Global shift towards digital manufacturing techniques • Physical Workload » Mental Workload • Traditional Human Factors » Cognitive Ergonomics 53 http://digitop.ac.uk
  • 54. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Facial Thermography vs fNIRS 54 Adrian Marinescu See Computerphile on YouTube And many other sensors, including Posture Analysis
  • 55. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Current Study • Aim: identify overload and underload • Aim: identify periods of mind-wandering • 40 participants in Sustained Attention task • Low demand High Demand • 55
  • 56. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Example fNIRS data 56
  • 57. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Blink rate during mind-wandering 57
  • 58. New Horizon 2020 Grant Fast Track to Innovation Fund
  • 59. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Alzheimer’s Protection Shield • Pre-symptomatic Alzheimer’s disease detection & prevention - H2020 Fast Track to Innovation Fund (€2.4M) • Brain+, Aarhus, Oxford, Nottingham - Mixed Reality Lab & MindTech • Overall - develop ‘Brain Coaching’ app from Brain+ • Nottingham Aims: - Longitudinally (5 points) study non-patient adults - Patient Engagements with Alzeimer’s patient groups - Develop early evidence for future NHS trials 59
  • 60. Brain Data as Personal Data A Fitbit for the brain?
  • 61. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Brain Data as Personal Data • Can he measure fNIRS in the wild? • A series of studies planned - in increasingly mobile contexts - additional physiological data • Bringing in some machine learning 61 Horia Maior EPSRC Prize (2 years postdoc)
  • 62. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Brain Data as Personal Data 62 Discussion of MWL Phase 1 Discussion of High and Low MWL Descriptions Phase 2 Interpreting drawings from interviews Phase 3 Producing metaphors based on descriptions of someones daily activities Phase 4 Phase 5 Prototype Discussion Suitable representation? Analyse and reflect on individuals day?
  • 63. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Brain Data as Personal Data • Has an MSc in Brain Imaging • Industry Sponsor: Brain+ (Copenhagen) • Proposed Plan: study diary-like brain data • Perhaps: in relation to brain training data (Brain+) 63 Serena Midha New PhD Student
  • 64. Dr Max L. Wilson http://cs.nott.ac.uk/~pszmw Questions? 64