Kansei Information Security Assessment (KISA): Characterizing Trust as Stimuli for User Emotional Assessment in Information Security

Ishak, Khairul Khalil; Razali, Noor Afiza Mat; Lokman, Anitawati Mohd; Kinoshita, T.

doi:10.17485/ijst/2016/v9is1/106846

Cited by 7 publications

(3 citation statements)

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“…Kansei can relate sensitivity, feeling and emotion. A study by Khairul discussed the application of Kansei Engineering in developing the Kansei Information Security Assessment (KISA) for developing a framework for user"s emotional assessment in the security domain, which employed the Kansei Engineering methodology in assessing human emotion factors in the designs and implementations of information security policies [23]. Other studies had used the Kansei approach in assessing the concept of trust in the information security domain by analysing the emotion of positive and negative that can influence the concept of trust [24].…”

Section: Kansei Approachmentioning

confidence: 99%

Assessment of Emotion in Online News based on Kansei Approach for National Security

Razali¹,

Malizan²,

Hasbullah³

et al. 2021

IJACSA

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Securing a nation is more complicated in modern days than how it was decades ago. In the era of big data, massive information is constantly being shared in cyberspace. Online rumours and fake news could evoke negative emotions and disruptive behaviours that possibly can jeopardize national security. Real-time detection and monitoring of unsettling emotions and potential national security threats should be further developed to help authorities manage the situation early. Text in the online news could be weighted with emotions that possibly lead to a misunderstanding that can affect national security and trigger chaos. Thus, understanding the emotion included in the online news and the relationship with national security is crucial. Kansei approach was determined as a methodology capable of interpreting human emotions towards an artefact. This research explores the emotion assessment using Kansei for text in online news and summarized the emotion variable factors that are likely to have a relationship with an individual state of mind towards one of the national security elements which are political security. The result determines that the identified variables of factors were "Frustrated," Consent," Resentful" and "Attentive". This gives an understanding of the significant effect of people's emotions represented in the text for political security elements.

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Section: Kansei Approachmentioning

confidence: 99%

Assessment of Emotion in Online News based on Kansei Approach for National Security

Razali¹,

Malizan²,

Hasbullah³

et al. 2021

IJACSA

Self Cite

View full text Add to dashboard Cite

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“…To understand the critical issues and threats underlying information security and mitigate the risks associated with major security and privacy problems, it becomes essential to comprehend experts' perceptions towards security practices followed by end-users. Additionally, the adoption of information security solutions and standards remains low [3], and human factors, such as emotions (e.g., frustration and stress), introduce an element of unpredictability to security and privacy policies [8,18]. Surveys exploring these aspects from the point of view of experts can help prioritise the most critical security issues and factors such as feelings related to cybersecurity, as emotions have been shown to have an impact on security and privacy-related issues.…”

Section: Introductionmentioning

confidence: 99%

Advances in Computing & Information Technologies

2023

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Amid growing concerns about security and privacy, and their impact on decision-making, researchers have sought to understand the reasons behind users' seemingly risky behaviour in disregarding security advice. In this study, we delve into the perceptions of security experts on end users' threat models and their cybersecurity practices and habits. This research explores the perceptions of security and privacy experts regarding end users' threat models and their behaviours in relation to cybersecurity. A survey was conducted with 55 experts, including 27 females and 28 males, to gain insights into end users' habits, practices, and feelings from the perspective of security experts. The study reveals that end-users express moderate concern about privacy and security while carrying out their daily tasks. However, security experts believe that end-users tend to be passive towards organisational security policies, and their lack of knowledge about these policies which may lead to negative feelings. Additionally, experts perceive that end-users may be unaware of security measures, have difficulties understanding security concepts, and are at high risk of falling victim to phishing attacks by opening attachments and clicking on unknown links.

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“…A study also shows that non-compliance behaviour against security procedure also being influenced by emotions [8]. Previous studies suggest that prominent human emotional traits in IS realm are rage, trust, fear, and stress [9][10][11][12][13][14][15]. In this study, we choose fear as the scope of study due to the essential aspect of fear in keeping user compliance towards any security procedure [16].…”

Section: Introductionmentioning

confidence: 99%

Fear Assessment in Information Security Dialog Box based on Hybrid Kansei Engineering and KJ Method

Razali

Saad

Wook

et al. 2022

IJAE

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Emotion is one of the predetermined aspects that lead to non-compliance behaviour by a user in the Information Security (IS) domain. Four prominent emotions have been recognized in IS, which are fear, stress, trust, and rage. In this study, fear will be highlighted as the scope to explain fear in IS through design concept. This paper discusses how to characterize fear as stimuli for user emotional assessment in IS through the design concept of information security dialog user interface design (UID). Recent research made by other researchers shows that too low and too high levels of fear lead to user reluctance and resistance behaviour. Thus, it is essential to conduct a study to suggest methodology and procedural details in measuring fear and propose the relationship between the level of fear and user compliance behaviour toward IS procedures and policies. This study adopted part of Kansei Engineering, and KJ Method in measuring fear towards IS dialog box UID as the artefact. This study characterizes fear emotion in the IS domain based on users' compliance response towards the artefacts. Findings from this study will give a new perspective on emotion, particularly for fear toward design in the IS domain and serve as the foundation of emotion in the IS field concerning Kansei and Affective Sciences.

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Kansei Information Security Assessment (KISA): Characterizing Trust as Stimuli for User Emotional Assessment in Information Security

Cited by 7 publications

References 0 publications

Assessment of Emotion in Online News based on Kansei Approach for National Security

Assessment of Emotion in Online News based on Kansei Approach for National Security

Advances in Computing & Information Technologies

Fear Assessment in Information Security Dialog Box based on Hybrid Kansei Engineering and KJ Method

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