Understanding Cognitive and Affective States Using Eyelid Movements

Heishman, R.; Duric, Zoran; Wechsler, Harry

doi:10.1109/btas.2007.4401944

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…As such, these users may not have a clear understanding of security issues, and implications. Previous studies have investigated the use of multimodal approaches to capture user behaviour, using a combination of eye movements [30] and video footage of test subjects [31], in addition to task-based analysis. Average computer users may only have a simple PC, therefore the final tool created should not require any additional hardware such as cameras to record data.…”

Section: Discussionmentioning

confidence: 99%

Reducing Risky Security Behaviours: Utilising Affective Feedback to Educate Users

2014

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Despite the number of tools created to help end-users reduce risky security behaviours, users are still falling victim to online attacks. This paper proposes a browser extension utilising affective feedback to provide warnings on detection of risky behaviour. The paper provides an overview of behaviour considered to be risky, explaining potential threats users may face online. Existing tools developed to reduce risky security behaviours in end-users have been compared, discussing the success rates of various methodologies. Ongoing research is described which attempts to educate users regarding the risks and consequences of poor security behaviour by providing the appropriate feedback on the automatic recognition of risky behaviour. The paper concludes that a solution utilising a browser extension is a suitable method of monitoring potentially risky security behaviour. Ultimately, future work seeks to implement an affective feedback mechanism within the browser extension with the aim of improving security awareness. OPEN ACCESSFuture Internet 2014, 6 761

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Section: Discussionmentioning

confidence: 99%