In this paper, we present the results of an empirical study of perceptions towards pervasive video recording. We describe a commonly used model for understanding information privacy, the Concern for Information Privacy (CFIP) model, and present the ways that this model and its associated questionnaire can shed light on information privacy concerns about pervasive and ubiquitous computing technologies. Specifically, the CFIP model encourages analysis of data across four facets of experience: the collection of personal data, the risk of improper access, the potential for unauthorized secondary use, and the challenge of preventing or correcting errors in the data. We further identify areas not well handled by this model of information privacy and suggest avenues for future work, including research on how and when to notify people about recording technologies, awareness of data provenance and leakage, and understanding of and access to the data assemblage being created about individuals.
|Original language||English (US)|
|Title of host publication||CHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts|
|Publisher||Association for Computing Machinery|
|Number of pages||10|
|State||Published - 2011|
|Name||Conference on Human Factors in Computing Systems - Proceedings|
Bibliographical noteFunding Information:
This work was supported by General Program of National Natural Science Foundation of China (Grant No. 50775023), Key Program of National Natural Science Foundation of China (Grant No. 50835001) and NCET under Grant No. NCET-8-0081.
- Information privacy
- Video recording