|Diesner, J., Kumaraguru, P., & Carley, K.M. (2005).
Mental Models of Data Privacy and Security Extracted from Interviews with
Indians. 55th Annual Conference of the International Communication
Association (ICA). New York, NY, May 26-30, 2005.
The Indian software and services market continues to gain momentum,
with offshore outsourcing
from the US, Europe and other countries becoming mainstream.
As jobs that involve processing of
personal data are increasingly outsourced to India, concerns
are being raised about the protection of
this data. While a large number of studies has been conducted
in order to assess people’s attitudes
about data privacy and security in the US, Australia, Canada
and Europe, little information is
available on this topic in India.
The research we present seeks to gain an empiric and exploratory
understanding of Indians’
attitudes about data privacy and security. We study these attitudes
by analyzing the mental models
that are reflected in interviews which we conducted among Indians.
We will report on a
methodology for extracting, analyzing and comparing mental models
from texts and on the
knowledge we gained about the perception of data privacy and
security among the subjects.
Keywords : Mental Models, Network Text Analysis,
Data Privacy, Data Security, India, AutoMap
Direct all correspondence to Jana Diesner, Institute
for Software Research International, Carnegie Mellon
University 5000 Forbes Avenue, Pittsburgh, PA, 15213; e-mail:
email@example.com. This work was supported
in part by the National Science Foundation IGERT grants 9972762
in CASOS, the CASOS (Center for Computational
Analysis of Social and Organizational Systems) lab at CMU (http://www.casos.cs.cmu.edu),
and the CyLab at CMU
(http://www.cylab.cmu.edu). The views and conclusions contained
in this document are those of the authors and should
not be interpreted as representing the official policies, either
expressed or implied, of the National Science Foundation or
the U.S. government. We thank Lorrie Cranor for her support and
advice on this research and publication. We thank
Elaine Newton and Granger Morgan for creating the questionnaire,
Pranjali Kanade for transcribing the interviews, and
Dan Woods for his help with this paper.