Conceptualization of User’s Rage Assessment Using Chatbot Interface by Implementing Kansei Engineering Methodology for Information Security

Razali, Noor Afiza Mat; Ishak, Khairul Khalil; MdSaad, Nurjannatul Jannah Aqilah; Zainudin, Norulzahrah Mohd; Hasbullah, Norasiakin; Amran, Mohd Fahmi Mohamad

doi:10.1007/978-981-15-7801-4_19

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…The design component of a chatbot can be applied as an artefact in our conceptual model using KE to enhance UX for e-learning. The KE methodology is typically conducted through a qualitative and quantitative approach using Semantic Differential (SD) to measure Kansei (Razali et al, 2020). In this context, SD is presented as Kansei Checklist (KC) to measure the relationship between e-learning chatbot and other component designs.…”

Section: Kansei Engineering (Ke) For Designmentioning

confidence: 99%

A conceptual model for e-learning supporting tools design based on cue model and Kansei engineering

Mat Razali,

Mohd Noor,

Malizan

et al. 2022

9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings

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The Covid-19 pandemic has triggered changes in learning due to the practice of social distancing to curb the spread of the virus. E-learning platforms have become the main platform for learning throughout the pandemic. However, e-learning does have challenges when it comes to ensuring student’s optimum participation throughout the learning experience that require extensive research about techniques and methods for an optimum e-learning experience. This includes various e-learning supporting tools that provides easy communication and immediate assistance to enhance user experience. The supporting tools or software usability and functionality design determined as imperative in enhancing the e-learning user experience. Thus, this research proposes a conceptual model for designing the e-learning supporting tools based on the CUE Model, integrated with Kansei Engineering for optimum user experience that can serve as a guideline for the e-learning supporting tools designer. The outcome of this research will create new research fields that incorporate multiple domains, including the e-learning domain, software and supporting tools design, emotions and user experience.

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Section: Kansei Engineering (Ke) For Designmentioning

confidence: 99%

A conceptual model for e-learning supporting tools design based on cue model and Kansei engineering

Mat Razali,

Mohd Noor,

Malizan

et al. 2022

9th International Conference on Kansei Engineering and Emotion Research. KEER2022. Proceedings

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“…Communication using chatbot has the potential to deliver message according to user's need if the chatbot design considers the emotion that capable to increase the positive effect on user's attitudes. This study adopted a model proposed by [40] to determine the emotional trait that will increase the adherence to instructions related to lifestyle intervention to prevent the development of NCDs. However, in this study, some modifications were made to this model to the suitability of the study scope.…”

Section: Emotional Evocative User Interface Design For Lifestyle Intervention In Non-communicable Diseasesmentioning

confidence: 99%

Emotional Evocative User Interface Design for Lifestyle Intervention in Non-communicable Diseases using Kansei

Razali¹,

Noor²,

Zainudin³

et al. 2021

IJACSA

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The advancement of technology has led to the development of an artificial intelligence-based healthcare-related application that can be easily accessed and used to assist people in lifestyle intervention for preventing the development of noncommunicable diseases (NCDs). Previous research suggested that users are demanding a more emotional evocative user interface design. However, most of the time, it has been ignored due to lack of a model that could be referred in developing emotional evocative user interface design. This creates a gap in the user interface design that could lead to the ineffectiveness of content delivery in the NCD domain. This paper aims to investigate emotion traits and their relationship with user interface design for lifestyle intervention. Kansei Engineering method was applied to determine the dimensions for constructing emotional evocative user interface design. Data analysis was done using SPSS statistic tool and the result showed the emotional concepts that are significant and impactful towards user interface design for lifestyle intervention in NCD domain. The outcome of this research shall create new research fields that incorporate multi research domain including user interface design and emotions.

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“…Also, another research has been done focusing on user"s rage assessment for information security by using Kansei Engineering methodology. The artefacts were utilised as the specimen to evaluate the rage emotion on chatbot [25]. The www.ijacsa.thesai.org research had shown that the Kansei approach could also be utilised on other applications or research related to the assessment of emotion including the information security domain.…”

Section: Kansei Approachmentioning

confidence: 99%

“…The emotional elements are cited from research by [24] which are emotion, motivation, appraisal and perception. Human mental states such as behaviour, act, expression and impression, is addressed by the psychological segment that can be measured using self-reporting systems such as the Different Emotional Scale (DES), the Semantic Differential (SD) scale or the free labelling method [25], [29]- [32]. Also, several methods using sensory measures including the SD have been used to determine the accuracy of Kansei objects represented by KW.…”

Section: A Conceptual Model For Relationship Between the Nationalmentioning

confidence: 99%

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

Razali¹,

Malizan²,

Hasbullah³

et al. 2021

IJACSA

Self Cite

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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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Conceptualization of User’s Rage Assessment Using Chatbot Interface by Implementing Kansei Engineering Methodology for Information Security

Cited by 4 publications

References 32 publications

A conceptual model for e-learning supporting tools design based on cue model and Kansei engineering

A conceptual model for e-learning supporting tools design based on cue model and Kansei engineering

Emotional Evocative User Interface Design for Lifestyle Intervention in Non-communicable Diseases using Kansei

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

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