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Privacy Issues in LocationAware Mobile Devices

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Instrumentation. Data Collection. Data Analysis. Results and Conclusions ... Limit instrumentation biases. Question type/format. Unstructured. Structured. Scaled ... – PowerPoint PPT presentation

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Title: Privacy Issues in LocationAware Mobile Devices


1
Privacy Issues in Location-Aware Mobile Devices
  • (Selected Research Issues)

2
Research Exists in Context . . .
Technologyfunctions,capabilities,methods,limi
tations,. . .
Privacydefinitions,theory,states,functions,at
titudes,prefer-ences,. . .
Privacy Issuesin Location-AwareMobileDevices
Application environmentgovernment
regulation,marketplace applications,standards,.
. .
3
Research Goals for This Project
  • Theory development and testing
  • Issue identification
  • Exploration of knowledge, beliefs, attitudes,
    feelings, preferences, behaviors, and actions of
    affected parties
  • Making general conclusions about key issues and
    findings
  • Making recommendations for practice and future
    research

4
Privacy Theory
  • The selective control of access to self1
  • The claim of individuals, groups, or
    institutions to determine for themselves when,
    how, and to what extent information about them is
    communicated to others2
  • Privacy theory pre-dates modern technology

1 Altman, I. The Environment and Social Behavior.
Monterey, CA Brooks/Cole, 1975. 2 Westin, A.
Privacy and Freedom. New York Athenaeum, 1967.
5
States of Privacy (Westin1)
  • Solitude
  • Being free from observation by others
  • Intimacy
  • Close, relaxed, frank small group relationships
  • Anonymity
  • Freedom from identification and surveillance in
    public places
  • Reserve
  • Limiting disclosures to others

(These are said to be the means by which
privacy is achieved.)
1 Westin, A. Privacy and Freedom. New York
Athenaeum, 1967.
6
Functions of Privacy (Westin1)
  • Personal Autonomy
  • Avoiding manipulation, domination, exposure by
    others
  • Emotional Release
  • Time out from social and role demands
  • Self Evaluation
  • Contemplation and integration of experiences into
    patterns
  • Limited and protected communication
  • Setting interpersonal boundaries and sharing
    personal information with trusted others

(These are said to be the whys of privacy.)
1 Westin, A. Privacy and Freedom. New York
Athenaeum, 1967.
7
The Survey Research Process1
Information Needs
Sampling Design
Instrumentation
Data Collection
Data Analysis
Results and Conclusions
Modified from Alreck Settle, The Survey
Research Handbook
8
To Be Measured Through Survey
  • Technology familiarity and experience
  • General privacy preferences1
  • Location-specific privacy preferences1
  • Respondent demographic information

Population of interest affected parties, but
initially limited to potential direct users of
location-aware mobile devices such as
E911-capable cell phones. A scale may be
developed to succinctly measure key location
privacy factors
1 May measure attitudes, beliefs, knowledge,
behaviors, preferences . . .
9
This Surveys Components
  • Knowledge/Belief Component
  • Awareness of technologies, issues, laws . . .
  • Unaided and true/false questions may be best . .
    .
  • Attitudes/Feeling/Preferences Component
  • Measure position on a positive/negative spectrum
  • Measure intensity of those feelings
  • Behavior/Action Component
  • Past, present, future, and hypothetical . . .

10
Population Sampling Issues
  • Who to survey
  • General population?
  • People aware of the technologies and issues?
  • People unaware?
  • Current users?
  • Prospective users?
  • Reliability freedom from random error
    repeatability
  • Validity measuring what we want to measure
    freedom from bias

11
Questionnaire Format
  • Greeting
  • Introduction/initiation
  • Body (order of questions is important)
  • Knowledge
  • Attitudes
  • Action tendencies
  • Demographic questions
  • Conclusion

12
Questions
  • Goals
  • Focus, brevity, simplicity
  • Controlled bias
  • Limit response biases
  • Limit instrumentation biases
  • Question type/format
  • Unstructured
  • Structured
  • Scaled
  • Likert e.g., Strongly Disagree to Strongly Agree
  • Verbal Frequency e.g., Never to Always
  • Semantic Differential e.g., Hot to Cold

13
Online Survey Issues
  • Disadvantages
  • Who can be and are your respondents
  • Lack of supervision assistance
  • Possibility of technical problems
  • Advantages
  • Wide reach at low cost
  • Fast turnaround
  • Varied, flexible response formats
  • Flexible adaptive skipping branching
  • Real-time input validation
  • Easy feed into analysis tools
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