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Thesis 
Change your state of mind 
Dieter Naten (r0255990) 
Begeleider: Sven Charleer
Overview 
• Subject Description 
• Literature 
• First idea + test 
• Infographics 
• What’s next?
Subject Description 
• Goal: 
• Watch how a brainwave sensor can be used in HCI 
• Developing an application with this sensor 
• Elaboration: 
• Reading literature about existing applications 
• Develop an application in different iterations 
• Research Question: 
• How can the data from a brainwave sensor be used to develop an HCI 
application?
Neurosky Brainwave Sensor 
• Sensor = commercial product (€65) 
• Learning eSense algoritme 
• Output 
• Raw values 
• Attention 
• Meditation
Literature 
1. Overview of HCI applications using a brainwave sensor 
2. Application using Neurosky Mindwave attention/meditation values 
3. Application using Neurosky Mindwave raw values
An Overview of Brain Computer Interfaces 
Stephen Adams 
• Overview of developments in BCI (Brain-Computer Interface) 
• Explanation about how a brainwave sensor works: 
• EEG (Electroencephalography) 
• ERP (Event-Related Potentials) 
• Different BCI classification algorithms 
• Applications in 3 domains 
• People with functional limitations 
• Application that changes depending on the mental state of the user 
• Games
NeuroWander: a BCI Game in the Form of Interactive Fairy Tale 
Myeung-Sook Yoh, Joonho Kwon, Sunghoon Kim 
• Simple BCI game based on ‘Hansel und Gretel’ 
• Uses NeuroSky Mindwave 
• 3 quests
NeuroWander: a BCI Game in the Form of 
Interactive Fairy Tale 
Myeung-Sook Yoh, Joonho Kwon, Sunghoon Kim
A BCI-Based Application in Music: Conscious Playing of Single 
Notes by Brainwaves 
Raffaela Folgieri Matteo Zichella 
• Neurosky Mindwave raw data 
• Goal: make a link between brainactivity and music 
• 2 experiments 
1. Search for patterns in EEG signal 
2. Train user to play a certain music note 
• Link movement + symbol + color to every note 
• Developed application
First application idea + test 
• Idea: 
• People read a text while their concentration is monitored 
• Warning when concentration gets to low 
• Adaptive interface 
• HCI + psychology 
• Test 
• Link output sensor <-> understanding text <-> idea of user about his/her 
concentration 
• Read 2 texts + answer questions 
• Observation output while reading 
• 7 subjects
Results 
• For 2/7 subjects, the sensor didn’t work 
• Noise
Results 
• Some interesting observations 
• Lower concentration when substracted
Results 
• Turning the page 
0 
10 
20 
30 
40 
50 
60 
70 
80 
90 
100 
1 
8 
15 
22 
29 
36 
43 
50 
57 
64 
71 
78 
85 
92 
99 
106 
113 
120 
127 
134 
141 
148 
155 
162 
169 
176 
183 
190 
197 
204 
211 
218 
225 
232 
239 
246 
253 
260 
267 
274 
281 
288 
295 
302 
Concentratieverloop 
Concentration 1
Results
Conclusion 
• Concentration output could be linked with observed events 
• Developing application should be possible 
• But! Noise should be filtered out 
• And remember everyone is different
Conclusion – filter noise
Conclusion - Application 
• 1st phase: show concentration output to user 
• User can interpret results 
• 2nd phase: application learns about user 
• Learning algorithm watch average concentration 
• Warns user when concentration is too low 
• 3rd phase: application suggests method to get higher concentration 
• Some music to get higher concentration could be played 
• Screen could change color
Infographics 
• Question from Joris to co-operate on project with VRT 
• Observe concentration/meditation of people reading an infographic 
• Infographic = kind of statistical summary of facts/a text 
• www.deredactie.be
Experiment 
• 9 subjects 
• Read 3 infographics 
• Questions will be posed afterwards 
• Think-aloud 
• Follow what you read with your mouse
Evaluation of visualisation 
• Good first visualisation for overview 
• But hard to really see variation in data 
• Unclear when someone reads thoroughly 
• Impossible to see when someone scrolled back to check something 
for example
Time-based animation
Evaluation of visualisation 
• Good to see how someone has read the infographic 
• Possible to see when someone scrolled back to see something 
• Better idea of how long someone spend time on a certain place 
• Though this could be deducted from the previous visualisation 
• Still no overview on change in attention/meditation in entire graphic 
• Maybe show a straight line instead of drawing circles
Evaluation of visualisation 
• Good to see change in attention/meditation 
• Presentation seems more clear when taking closest measured value 
• Easier to link concentration/meditation to the infographic and to the 
questions 
• An overlay might even be more useful
What’s next? 
• Normally a paper prototype and digital prototype would be 
developed after the first test 
• My planning changed because of the tests with the infographic 
• No digital prototype for now 
• Partially new application idea 
• This will be developed/evaluated in the next weeks
New goal application 
• Develop an application that visualises sensor data 
• Made visualisations could be used for this purpose 
• Goals and target group 
• Researchers can get a fast overview of gathered brainwave data 
• Students can control their concentration while studying for example 
• Extension with eye-tracker f.e. -> allows for more tasks 
• Realtime feedback like in NeuroWander
Planning 
Datum Doel 
begin december idee uitwerken + paper prototyping 
eind december digitaal prototype 
januari Examens + evaluatie digitaal prototype + start schrijven thesistekst 
eind januari - begin februari Einde evaluatie digitaal prototype + start implementatie 
26 feb 15 Evaluatie iteratie 1 + start schrijven wetenschappelijk artikel 
begin maart Implementatie iteratie 2 
20 mrt 15 Indienen draft wetenschappelijke artikel 
23 mrt 15 2de tussentijdse presentatie 
30 mrt 15 Evaluatie iteratie 2 
april Schrijven thesistekst (afhankelijk van tussentijdse presentatie 2 -> iteratie 3?) 
begin mei Afwerken thesistekst + maken poster? 
eind mei HCI dag 
22 mei 14 Indien draft volledige thesistekst 
Begin juni Departementale deadline indienen eindwerk 
Eind juni Verdediging
Working hours 
• Reading: 31h 
• Writing: 15h 
• Social Network Activities: 6,5h 
• Meetings: 25h 
• Reflection: 20h 
• Implementation: 26h 
• Presentation: 8h 
• Total: 131,5h
Questions?

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Thesis - 1ste tussentijdse presentatie

  • 1. Thesis Change your state of mind Dieter Naten (r0255990) Begeleider: Sven Charleer
  • 2. Overview • Subject Description • Literature • First idea + test • Infographics • What’s next?
  • 3. Subject Description • Goal: • Watch how a brainwave sensor can be used in HCI • Developing an application with this sensor • Elaboration: • Reading literature about existing applications • Develop an application in different iterations • Research Question: • How can the data from a brainwave sensor be used to develop an HCI application?
  • 4. Neurosky Brainwave Sensor • Sensor = commercial product (€65) • Learning eSense algoritme • Output • Raw values • Attention • Meditation
  • 5. Literature 1. Overview of HCI applications using a brainwave sensor 2. Application using Neurosky Mindwave attention/meditation values 3. Application using Neurosky Mindwave raw values
  • 6. An Overview of Brain Computer Interfaces Stephen Adams • Overview of developments in BCI (Brain-Computer Interface) • Explanation about how a brainwave sensor works: • EEG (Electroencephalography) • ERP (Event-Related Potentials) • Different BCI classification algorithms • Applications in 3 domains • People with functional limitations • Application that changes depending on the mental state of the user • Games
  • 7. NeuroWander: a BCI Game in the Form of Interactive Fairy Tale Myeung-Sook Yoh, Joonho Kwon, Sunghoon Kim • Simple BCI game based on ‘Hansel und Gretel’ • Uses NeuroSky Mindwave • 3 quests
  • 8. NeuroWander: a BCI Game in the Form of Interactive Fairy Tale Myeung-Sook Yoh, Joonho Kwon, Sunghoon Kim
  • 9. A BCI-Based Application in Music: Conscious Playing of Single Notes by Brainwaves Raffaela Folgieri Matteo Zichella • Neurosky Mindwave raw data • Goal: make a link between brainactivity and music • 2 experiments 1. Search for patterns in EEG signal 2. Train user to play a certain music note • Link movement + symbol + color to every note • Developed application
  • 10. First application idea + test • Idea: • People read a text while their concentration is monitored • Warning when concentration gets to low • Adaptive interface • HCI + psychology • Test • Link output sensor <-> understanding text <-> idea of user about his/her concentration • Read 2 texts + answer questions • Observation output while reading • 7 subjects
  • 11. Results • For 2/7 subjects, the sensor didn’t work • Noise
  • 12. Results • Some interesting observations • Lower concentration when substracted
  • 13. Results • Turning the page 0 10 20 30 40 50 60 70 80 90 100 1 8 15 22 29 36 43 50 57 64 71 78 85 92 99 106 113 120 127 134 141 148 155 162 169 176 183 190 197 204 211 218 225 232 239 246 253 260 267 274 281 288 295 302 Concentratieverloop Concentration 1
  • 15. Conclusion • Concentration output could be linked with observed events • Developing application should be possible • But! Noise should be filtered out • And remember everyone is different
  • 17. Conclusion - Application • 1st phase: show concentration output to user • User can interpret results • 2nd phase: application learns about user • Learning algorithm watch average concentration • Warns user when concentration is too low • 3rd phase: application suggests method to get higher concentration • Some music to get higher concentration could be played • Screen could change color
  • 18. Infographics • Question from Joris to co-operate on project with VRT • Observe concentration/meditation of people reading an infographic • Infographic = kind of statistical summary of facts/a text • www.deredactie.be
  • 19.
  • 20. Experiment • 9 subjects • Read 3 infographics • Questions will be posed afterwards • Think-aloud • Follow what you read with your mouse
  • 21.
  • 22.
  • 23.
  • 24. Evaluation of visualisation • Good first visualisation for overview • But hard to really see variation in data • Unclear when someone reads thoroughly • Impossible to see when someone scrolled back to check something for example
  • 26. Evaluation of visualisation • Good to see how someone has read the infographic • Possible to see when someone scrolled back to see something • Better idea of how long someone spend time on a certain place • Though this could be deducted from the previous visualisation • Still no overview on change in attention/meditation in entire graphic • Maybe show a straight line instead of drawing circles
  • 27.
  • 28.
  • 29. Evaluation of visualisation • Good to see change in attention/meditation • Presentation seems more clear when taking closest measured value • Easier to link concentration/meditation to the infographic and to the questions • An overlay might even be more useful
  • 30. What’s next? • Normally a paper prototype and digital prototype would be developed after the first test • My planning changed because of the tests with the infographic • No digital prototype for now • Partially new application idea • This will be developed/evaluated in the next weeks
  • 31. New goal application • Develop an application that visualises sensor data • Made visualisations could be used for this purpose • Goals and target group • Researchers can get a fast overview of gathered brainwave data • Students can control their concentration while studying for example • Extension with eye-tracker f.e. -> allows for more tasks • Realtime feedback like in NeuroWander
  • 32. Planning Datum Doel begin december idee uitwerken + paper prototyping eind december digitaal prototype januari Examens + evaluatie digitaal prototype + start schrijven thesistekst eind januari - begin februari Einde evaluatie digitaal prototype + start implementatie 26 feb 15 Evaluatie iteratie 1 + start schrijven wetenschappelijk artikel begin maart Implementatie iteratie 2 20 mrt 15 Indienen draft wetenschappelijke artikel 23 mrt 15 2de tussentijdse presentatie 30 mrt 15 Evaluatie iteratie 2 april Schrijven thesistekst (afhankelijk van tussentijdse presentatie 2 -> iteratie 3?) begin mei Afwerken thesistekst + maken poster? eind mei HCI dag 22 mei 14 Indien draft volledige thesistekst Begin juni Departementale deadline indienen eindwerk Eind juni Verdediging
  • 33. Working hours • Reading: 31h • Writing: 15h • Social Network Activities: 6,5h • Meetings: 25h • Reflection: 20h • Implementation: 26h • Presentation: 8h • Total: 131,5h

Editor's Notes

  1. Elaboration = uitwerking
  2. Hoe sensor opzetten? (oor = referentiepunt) Wat doet hij? Learning eSense algoritme -> versterk signaal -> verwijder ruis -> filter persoonlijke variaties Attention = focus/attentie Meditation = mentale kalmte/relaxatie/ontspanning
  3. EEG: ionen van neuron naar neuron Golf gemeten aan buitenkant van het hoofd Geen operatie, maar slechte spatiale resolutie ERP: vast patroon in EEG bij bepaalde actie Oorzaak = component (letter (P/N) + nummer (tijd -> stimulus/meting) Verschillende algoritmes: ruis eruit halen -> niet doel -> niet onthouden Vb functionele beperking: locked-in syndroom + applicatie om te surfen op het web Adaptive interface Games: keyboard + muis vervangen Neurowander -> volgende slide
  4. Progressbar met attentie/meditatie in onderhoek 3 quests: Witte kiezels Broodkruimels Heks in oven duwen Doel: mensen leren zich beter te concentreren
  5. Experiment 1: 2 minuten rustig zitten Zoek naar ontwikkelingsomgeving Veel verschillen tussen gebruikers onderling Ook overeenkomsten -> 2de test Experiment 2: Gebruikers trainen om een noot mentaal op te roepen Output noot vergeleken bij output stilte Veel pogingen nodig om noot te produceren Door linken betere resultaten Applicatie die link gebruikte Succesvol 7 noten na enkele minuten
  6. Rationale test: Concentratie output + idee persoon + observatie -> begrijpen hoe output interpreteren -> usefulness van output bekijken Iedereen anders -> 2 teksten -> filteren niet concentratie-gerelateerde verschillen
  7. Extra: bij enkele testpersonen vragen gesteld in lage concentratie gebieden -> meestal niet goed beantwoord
  8. Persoon zelf verschillend aantal vragen juist 1: groot verschil 2: idem 3: niet genoeg focus blijkbaar (zelf aangegeven ook) 4: te hoge concentratie bij 1 al? 5: valt niet veel over te zeggen Meditatie? Benodigd concentratieniveau verschillend voor iedereen (boxplots gemaakt, zei niet veel extra)
  9. Applicatie mogelijk
  10. Mediaanfilter, lijkt al beter Lopende gemiddelde ofzo was ook mogelijk
  11. Uitleggen hoe experiment werkte
  12. Besluit: Cirkels handig als eerste interpretatie Moeilijk te interpreteren als gebruiker grondig leest Andere visualisaties nodig
  13. Links attentie, rechts meditatie
  14. Links attention, rechts meditation
  15. Uitleggen hoe de applicatie er dan uit zou zien -> aangeven wat je wilt tracken -> hoe tracken? -> muis/ogen Onderzoekers helpen -> ik heb nu veel werk moeten doen -> volgende student bvb zou dit kunnen gebruiken en op iets anders focussen Studenten kunnen zoals in oorspronkelijk eerst idee geholpen worden Ligt nog niet volledig vast
  16. Lezen: literatuur + uitleg werking brainwave sensor Schrijven: blogposts (8) + samenvatting van papers (SNA: te weinig gedaan) Meetings: wekelijks met Sven + alle testen Eventuele vragen over evaluation -> meer bij reflectie Vragen over ontwerp -> niet echt gedaan?