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PETMEI 2014 Privacy Considerations for a Pervasive Eye Tracking World Daniel J. Liebling, Seattle, USA Sren Preibusch, Cambridge, UK Technology and Privacy Technology growth precedes policy 1973 1991 2000s today Lets talk about


  1. PETMEI 2014 Privacy Considerations for a Pervasive Eye Tracking World Daniel J. Liebling, Seattle, USA Sören Preibusch, Cambridge, UK

  2. Technology and Privacy Technology growth precedes policy 1973 1991 2000s today Let’s talk about privacy!

  3. Gaze tracking 1967 2000s 2014 Let’s talk about privacy!

  4. Gaze and Privacy Overview What data is collected? Who collects it? Collection at scale.

  5. Gaze data is unique! Voice recognizer defeat by changing your voice. Cameras and face recognition wear sunglasses, hats, makeup. Keystroke metrics Adam Harvey, NYU ITU “CV Dazzle” type differently. Eye tracking ??? Volitional control is difficult – and mentally, physically fatiguing.

  6. Beyond ( x , y ) Individual identity Expertise (various) Y. Liu et al. , 2009. Age Reading native language? Munoz et al ., 1998. Rayner, 1998 Emotional valence Task Partala et al. , 2000. Yarbus, 1967 Borji & Itti, 2014 Body mass index Mind wandering Graham et al ., 2011 Hess & Polt, 1960. Menstrual cycle Uzzaman & Joordens, 2011. Smallwood et al ., 2011 Laeng & Falkenberg, 2007. Δ r

  7. Who collects Intentional collection Researchers -> benefits the research[ers] Physicians -> benefits end user Companies -> benefits company Is opt-out even possible? Incidental collection Marketers, banks, vehicle manufacturers, etc. Coming soon: computing device mfrs, Web sites, auto manufacturers

  8. Scale From one recording to many recordings of many people Analogue: Eye tracker public installations Eye-Follower, Paris, 1986 – National Gallery, London, 2001 ~ 10,000 recordings Research corpora EyeCloud (Vrzakova et al. ) EMVIC

  9. Privacy Westin (1967): An individual’s right “to control , edit , manage , and delete information about them[selves] and decide when, how, and to what extent information is communicated to others . ” We care about “information self - determination.”

  10. What to do? Duty to inform Create affordances for self-introspection Provide interfaces for dissemination control

  11. What to do? Levels of abstraction, fuzzing What granularity and noise tolerances are enough? Rich literature in location community. Policy and regulation EU Data Protection Directive, etc.

  12. Gaze-enhanced privacy Authentication is a good thing Use focus and attention to gate sensitive data

  13. Summary With great power comes great responsibility. Stewards of gaze data should think deeply about collection and use of eye gaze data at scale.

  14. PETMEI 2014 Privacy Considerations for a Pervasive Eye Tracking World Daniel J. Liebling Sören Preibusch

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