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

Razali, Noor Afiza Mat; Noor, Normaizeerah Mohd; Zainudin, Norulzahrah Mohd; Malizan, Nur Atiqah; Hasbullah, Nor Asiakin; Ishak, Khairul Khalil

doi:10.14569/ijacsa.2021.0120640

Cited by 1 publication

(1 citation statement)

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“…Kansei Engineering (KE) is a novel approach that offers a promising methodology for developing and constructing new appealing products and services with a strong focus on the human mind (Ismail & Lokman, 2020). According to (Afiza et al, 2021), KE was originally defined as the translation of consumer feelings with the product features and product image to some of the design aspects required to produce that product. The objective of KE is the development of new products in response to consumer feelings or emotions using the five human senses: vision, taste, smell, hearing and touch (Adnan & Redzuan, 2016).…”

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%