University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > Rethinking the Quantified Self to make personal data engaging and useful

Rethinking the Quantified Self to make personal data engaging and useful

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.

The Quantified Self (QS) vision argues for collecting and analyzing rich collections of personal data. According to the vision, such personal data facilitate greater self-insight promoting behaviour change. But although self quantification is common, quantified self technologies show poor rates of adoption. This talk explores reasons for this failure. I will revisit the QS vision, identifying its flaws, arguing that it is overly analytic, overly rational and overly authoritative. I will present deployments of three new QS systems that address these problems proposing a new design approach to personal data systems.

This talk is part of the Microsoft Research Cambridge, public talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity