TY - GEN
T1 - Towards an engineering model of privacy-related decisions
AU - Meyer, Joachim
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - People make numerous decisions that affect their own or others’ privacy, including the decisions to engage in certain activities, to reveal and share information or to allow access to information. These decisions depend on properties of the information to be revealed, the situation in which the decision is made, the possible recipients of the information, and characteristics of the individual person. System design should ideally protect users from unwanted consequences by allowing them to make informed decisions, at times blocking users’ ability to perform certain actions (e.g., when the user is a minor). The development of alerting and blocking mechanisms should be based on predictive models of user behavior, similar to engineering models in other domains. These models can be used to evaluate different design alternatives and to assess the required system specifications. Predictive models of privacy decisions will have to combine elements from normative decision making and from behavioral, descriptive research on decision making. Some major issues in the development and validation of such models are presented.
AB - People make numerous decisions that affect their own or others’ privacy, including the decisions to engage in certain activities, to reveal and share information or to allow access to information. These decisions depend on properties of the information to be revealed, the situation in which the decision is made, the possible recipients of the information, and characteristics of the individual person. System design should ideally protect users from unwanted consequences by allowing them to make informed decisions, at times blocking users’ ability to perform certain actions (e.g., when the user is a minor). The development of alerting and blocking mechanisms should be based on predictive models of user behavior, similar to engineering models in other domains. These models can be used to evaluate different design alternatives and to assess the required system specifications. Predictive models of privacy decisions will have to combine elements from normative decision making and from behavioral, descriptive research on decision making. Some major issues in the development and validation of such models are presented.
KW - Cognitive engineering
KW - Decision making
KW - Models
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=84942578369&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-18621-4_2
DO - 10.1007/978-3-319-18621-4_2
M3 - Conference contribution
AN - SCOPUS:84942578369
SN - 9783319186207
T3 - IFIP Advances in Information and Communication Technology
SP - 17
EP - 25
BT - Privacy and Identity Management for the Future Internet in the Age of Globalisation - 9th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers
A2 - Hansen, Marit
A2 - Fischer-Hubner, Simone
A2 - Camenisch, Jan
PB - Springer New York LLC
T2 - 9th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management for the Future Internet in the Age of Globalisation, 2014
Y2 - 7 September 2014 through 12 September 2014
ER -