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Applying Cognitive Control Modes to Identify Security Fatigue Hotspots

Parkin, S; Krol, K; Becker, I; Sasse, MA; (2016) Applying Cognitive Control Modes to Identify Security Fatigue Hotspots. In: (Proceedings) Workshop on Security Fatigue, [part of] SOUPS 2016: Twelfth Symposium on Usable Privacy and Security, 22-24 June 2016, Denver, Colorado, USA. USENIX Association (In press). Green open access

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Abstract

Security tasks can burden the individual, to the extent that security fatigue promotes habits that undermine security. Here we revisit a series of user-centred studies which focus on security mechanisms as part of regular routines, such as two-factor authentication. By examining routine security behaviours, these studies expose perceived contributors and consequences of security fatigue, and the strategies that a person may adopt when feeling overburdened by security. Behaviours and strategies are framed according to a model of cognitive control modes, to explore the role of human performance and error in producing security fatigue. Security tasks are then considered in terms of modes such as unconscious routines and knowledge-based ad-hoc approaches. Conscious attention can support adaptation to novel security situations, but is error-prone and tiring; both simple security routines and technology-driven automation can minimise effort, but may miss cues from the environment that a nuanced response is required.

Type: Proceedings paper
Title: Applying Cognitive Control Modes to Identify Security Fatigue Hotspots
Event: Workshop on Security Fatigue, [part of] SOUPS 2016: Twelfth Symposium on Usable Privacy and Security, 22-24 June 2016, Denver, Colorado, USA
Location: Denver, CO, US
Dates: 22 June 2016 - 22 June 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.usenix.org/conference/soups2016/worksh...
Language: English
Additional information: Copyright © 2016 The author(s).
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1502205
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