Background information

Nick Merrill will talk about what’s possible with biosensors. How much of someone’s thoughts might you read with an EEG? How much of someone’s emotional state could be read with sensors? The answers to these questions, and more, will not be definitively answered in this seminar!

Reading

• Who sexts thumbprints?
• Rosalind Picard. Affective wearables.
• Petr Slovak. Understanding heartrate sharing: towards unpacking physiosocial space.

Agenda

• 12:10 Dav will give a brief overview of the work he’s been doing with SHO Zemi on understanding kids in the context of tutoring. (slides)
• 12:40 Nick will take over and give us a presentation on biosensing!
• Then… we’ll have time for discussion.

• HACKING MEASUREMENT 11/5

AGENDA

Dav on tutoring/asessing “Natsu Zemi” Nick Merrill on Biosensing Open discussion/planning - Peer asessment starts next week!

Natsu Zemi

• Why Dav went to Japan to study Education is hard We still haven’t figured out how to teach reading (whole word vs phonics) Scientific evidence is not enough to shift social-cultural systems What if scientist-teachers could see results themselves? Working with Sho Zemi Sho Zemi has ~26,000 students across 200 sites, MOOC-like scale with physical access Emotional assessment using VAS Cognitive assessments with Lumosity Using sliding scales are categorically better than bucket categories while conducting surveys To help students identify what is going on with their learners Rich data set which could lead to interesting insights Dav wants to be able to predict changes in test scores of students Quantitative ethnography approach Large variance in students’ reaction times

Biosensing

What are you trying to sense? What’s the phenomenon? Where does it “exist”? Can sensors actually detect it? Affdex uses your face to understand your emotion Apple watch uses heart rate sensor. What can it measure? Physical activity Excitement Chronic disease history Apple watch used sharing heart beats as a way to be intimate/share intimacy What are the affordances of heart rate as compared to something else, say, EEG? Suggestability of a sensor and their consequences Social signalling Sensors and their data exsit in a rich social space. When we accept to give our data via biosensors, what are we consenting to? Actually measuring data 512 samples/second from EEG device 60 people