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research challenges of the field.

3.5.1 Privacy Guidelines

Privacy guidelines are general principles or assertions that can be used as shortcut design tools to:

identify general application requirements prior to domain analysis;

evaluate alternative design options;

suggest prepackaged solutions to recurrent problems.

Table 2. Overview of HCI Privacy Frameworks

Framework Name

Scope

Data Protection vs Personal Privacy

Principled vs Communitarian

Pros

Cons

Guidelines

FIPS

Basic personal data management principles

Data Protection

Principled

Simple

Popular

System-centered

Do not consider value proposition

Design Patterns (Chung)

Ubiquitous computing

Personal

Principled

Easy to learn

Mismatch with design

Process Frameworks

QOC (Bellotti)

Questions and Criteria for evaluating designs

Personal

Principled

Simple

Limited to VMS systems

Risk Analysis (Hong)

Ubiquitous computing

Neutral

Communitarian

Clear checklists

Difficult to valuate risk

Privacy Interface Analysis

Web applications

Data Protection

Principled

Good rationale

Complex to apply

Proportionality

Value proposition balanced with privacy risk

Neutral

Communitarian

Lightweight

Used in related communities

Explicit balance

Demands in-depth analysis

STRAP

Privacy analysis based on goal analysis

Neutral

Neutral

Lightweight

Goal-driven, may ignore non-functional issues

Modeling Frameworks

Economic Frameworks

Models of disclosure behaviors

Data Protection

Communitarian

Simple economic justification

Frail assumptions of user behavior

end-user-privacy-in-human-computer-interaction-v57.docPage 53 of 85

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