Family Feud

Family Feud Example

• http://www.youtube.com/watch?v=dkgS0wfJlBY&feature=fvst

Family Feud Rules

• Face-off to see who can guess the highest ranked answer

• Face-off winner’s team get to guess all the answers

• Each round is worth $10*number of answers

• If a team gets all the answers, they win the money. If they get three wrong the other team can steal.

Name

Private information you might reveal online

2

Location

Financial

everythingBirthday/age

3

4

51X

Lock

Evidence that your information will be encrypted

2

Asks for password

https

3

1X

McAfee

A website that is trustworthy

2

Yahoo

Google

twitter

msnMy Bank

3

4

5

6

1X

spyware

A website that is malicious

2

porn

Facebook

3

1X

Change password

A way to avoid being a victim of identity theft

2

Don’t give out SSN

Delete unwanted emails

Stay offline

3

4

1X

DNS failure

Reasons for “certificate” errors

2

Self-signed

hackingNo idea

3

41X

Email address

Information that is automatically sent to every

website I visit

2

Browser type

don’t know

everythingIp address

3

4

51X

Don’t know

An online ad company

2

google1X

Behavioral economics“There are areas of life in which people seem to

display less than perfect rationality” (Loewenstein et al, 2008):

Personal Finances Privacy online and on mobile devices

G. F. Loweinstein and E.C. Haisley. The foundations of Positive and Normative Economics, chapter 9. Oxford University Press, 2008.

Private Information You might Reveal Online

OKCupid Discussion Board

Behavioral economics and privacy decision making

Imperfect or asymmetrical information Biases

Default bias Hyperbolic discounting Bounded Rationality

 

Imperfect Information

 

Default Bias

• Organ Donation• Retirement (Thaler 2008)

• Facebook – 69% had changed default settings (Debatin 2009)

Bounded Rationality• Calculating carbon emissions

• Friends of friends

Hyperbolic Time Discounting

•Benefits now – costs later

• Donuts and smoking

•Clicking through warnings

•Installing apps on Droid

Bib• J. Tsai, P. Kelley, L. Cranor, and N. Sadeh, 2009. “Location‐Sharing Technologies:

Privacy Risks and Controls." Telecommunications Policy Research Conference (TPRC).

• A. Acquisti and R. Gross, 2009. “Predicting Social Security Numbers From Public Data.” Proceedings Of The National Academy Of Science, 106(27), 10975-10980.

• What Can Behavioral Economics Teach Us About Privacy? Alessandro Acquisti and Jens Grossklags

• Thaler and Sunstien Nudge Improving Decisions about Health Wealth and Happiness