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Network authentication using single sign-on: the challenge of aligning mental models
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Source Computer Human Interaction for the Management of Information Technology archive
Proceedings of the 2nd ACM Symposium on Computer Human Interaction for Management of Information Technology table of contents
San Diego, California
SESSION: Security table of contents
Article No. 6  
Year of Publication: 2008
ISBN:978-1-60558-355-6
Authors
Rosa Heckle  University of Maryland, Baltimore County, Baltimore, MD
Wayne G. Lutters  University of Maryland, Baltimore County, Baltimore, MD
David Gurzick  University of Maryland, Baltimore County, Baltimore, MD
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Healthcare organizations are struggling to meet industry best practices for information security as well as complying with regulatory requirements. Single sign-on technology is emerging as a leading technology for password authentication management and promises to improve security while curbing system maintenance costs. While the technology seems to be a simple viable solution for authentication, when placed in context, many socio-technical complexities emerge. One of these complexities is that of the mismatch between the users' mental models and the system model.

This study was a 15-month ethnographic field study that followed the implementation of a single sign-on system in a hospital environment. It resulted in the finding that the misaligned mental models caused difficulties not only for the user but for the system administrators. The findings also indicate that not only was the user's mental model of the technology inaccurate, but the presentation of the technology by the information technology group contributed to this misaligned understanding. The end result was dissatisfaction with the new technology for both end users and the system administrators.

In order to address the critical issue of mental model misalignment in the implementation of SSO technology, practitioners must first gain an understanding of the preexisting mental models had by the target users regarding authentication and then use this information to guide implementation of the new technology.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
The New Oxford American Dictionary. McKean, E. ed., Oxford University Press, 2005.
 
2
Webster's New Millennium Dictionary of English, Preview Edition. Kipfer, B. A. ed., Lexico Publishing Group, Long Beach, 2007.
3
4
 
5
 
6
 
7
Carroll, J and Olson, J. "Mental Models in Human-Computer Interaction" in Handbook of Human-Computer Interaction, M Helander (ed), Elsevier, 1988
8
9
 
10
Jøsang, A., J. Fabre, et al. Trust Requirements in Identity Management. Australasian Information Security Workshop, Newcastle, Australia, 2005.
 
11
McDaniel, S. What's Your Idea of a Mental Model. Boxes and Arrows.
 
12
Norman, D. The Design of Everyday Things. Doubleday/Currency, New York, 1988.
 
13
Norman, D. A. and Collyer, B. The design of everyday things. Basic Books New York, 2002.
 
14
Patton, M. Q. Qualitative evaluation and research methods.
 
15
Pellissier, S. V. Effective Authentication in a Medical Environment - Business Case Analysis. ATI IPT Technical Report 01-01. DAMD17-99-C-9001, Frederick, MD, USA, 2001.
 
16
 
17
Sasse, M. A. Eliciting and Describing Users' Models of Computer Systems Computer Science, University of Birmingham, Birmingham, UK, 1997.
 
18
 
19
 
20

Collaborative Colleagues:
Rosa Heckle: colleagues
Wayne G. Lutters: colleagues
David Gurzick: colleagues