behavioral analytics to foster long term changes

Saschapohflepp

Flickr

Behavioral Analytics to FosterLong Term Changes

CISRASydney, 21 June 2013

Abelardo Pardo(@abelardopardo)The University of Sydney

Abelardo Pardo Behavioral Analytics to Foster Long Term Changes 2

State

Records

NS

WFlickr

Lecturer at School of EIE

Two coursesGrad/Undergrad

Active learning

Use of technology

Tech to empower individualsand communities

Behavioral analytics

User validation

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AP

rincessflickr.com

Observe Process Act

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TulaneP

ublicR

elationsflickr.com

Why observation now?

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ww

w.cooking-hacks.com

Sensors are becoming a commodity

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mrbillflickrflickr.com

Emerging a community of hobbyists

Mind Sights: Original Visual Illusions, Ambiguities, and Other Anomalies, With a Commentary on the Play of Mind in Perception and Art, Roger N. Shepard, 1990

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Humans are highly subjective

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Derable

flickr.com

Maximize Performance

Abelardo Pardo Behavioral Analytics to Foster Long Term Changes 9

Yooakimflickr.com

Zero errors!

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qmnonic

flickr.comObserve subjects whileperforming a task

Collect events

Process and relay back to subjects

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Quinn

Anya

flickr.com

Detect and analyse gestures

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ninahaleflickr.com

Comply with procedures

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Anthony

JBentley

flickr.com

High yield environments

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fhemerick

flickr.com

SCADA

Facial Expressions

Detect facial features

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(Monkaresi et al., 2012)

Engagement

Engagement while writing a document

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(Monkaresi et al., 2013 Under review)

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dklimke

Flickr.com

Erraticengagement

Wireless sensing

Heart rate through video capture

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(Monkaresi et al., 2013 Under review)

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Sergejfflickr.comIdentify missteps

Motivate for improvementModify activities

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http://hdguru.com/is-your-new

-hdtv-watching-you/7643

(lastaccessedM

arch2013)

Context Integrity: Framework to provideguidance to solve privacy related conflicts.

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ContextTravelflickr.com

Appropriateness & Distribution

(Nissenbaum, H., 2004, Privacy as Contextual Integrity, Washington Law Review, 79(1))

Saschapohflepp

Flickr

Behavioral Analytics to FosterLong Term Changes

CISRASydney, 21 June 2013

Abelardo Pardo(@abelardopardo)The University of Sydney

References

Monkaresi, H., Hussain, M. S., Calvo, R., 2012A dynamic approach for detecting naturalistic affective states from facial videos during HCIAustralasian Joint Conference on Artificial Intelligence, Sydney, Australia. LNAI, Springer 2012, pp.170-181

Monkaresi, H., Calvo, R., Robinson, P., Martin, A. 2013Facial expressions as a measure of engagement with online writing activities.Manuscript under review.

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