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Takeaway: This study indicates context of location disclosures has no effect, but they need more data. | Takeaway: This study indicates context of location disclosures has no effect, but they need more data. | ||
; Sebastian Schnorf : A Comparison of Six Sample Providers Regarding Online Privacy Benchmarks. | |||
UX research at google. | |||
Fielded set of questions to different survey platforms. Including mail and phone surveys. | |||
Takeaway: Hard to get secretive people in a privacy-focused survey. Random samplers are better quality because of this. | |||
; Marc Busch: Is This Information Too Personal? Relationship between privacy concerns and personality. | |||
Personality matters because it may influence design of a system. As in other talks, "one-size-fits-all" privacy fails. | |||
Recent studies are specific and narrow. | |||
Takeaway: Only 3.8% of privacy concerns are affected by various personality traits. | |||
; Janine Spears : I have nothing to hide, thus nothing to fear. | |||
What about the person who has no privacy concern? | |||
D. Solove makes a case for why privacy matters even if you have nothing to hide. | |||
This is a myopic view of privacy equals secrecy. They trust data collectors (blindly) and are unaware of the extents of tracking. | |||
Instead, shift discussions to implications of over-disclosure (when data is not suppressed). What are the long-term implications of inadvertent shares? How do you educate the user? How do nudges work? | |||
* How does this persona type affect others around him with different types? | |||
* How quickly do this person's views change, like when there ''is'' something to hide? | |||
To illustrate why privacy matters, start with a zip code and shopping list and then ask: | |||
# What inferences can be made from this info? | |||
# What are implications of these inferences? | |||
Also, "Do you wear clothes?" | |||
= Day 2: SOUPS main track = | |||
== Keynote: Chris Soghoian -- Sharing the blame for the NSA's dragnet surveillance program == |