Users’ emotional evaluation towards kansei-based higher learning institution website using geneva emotion wheel

Turumugon, Punitha; Baharum, Aslina; Nazlan, Nadia Hanin; Noh, Nor Azida Mohamed; Noor, Noorsidi Aizuddin Mat; Rahim, Emelia Abdul

doi:10.11591/ijeecs.v16.i3.pp1547-1554

Cited by 4 publications

(8 citation statements)

References 16 publications

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“…The negative emotions that users felt were caused by the aspects of Task, Individual Awareness, Personality and Interface Design that cover all three factors; User Control, System Control and Interaction Control. The comparison with the outcomes of previously user emotion study [25] reveals a similar pattern in the emotions that users experience even by assessing the different types of stimuli, which in this case a higher learning institution website designed using standard Kansei-based guidelines. However, the study did not identify what specifically trigger those positive emotions.…”

Section: Relation Between the Emotional States And Stimulation Factorsmentioning

confidence: 70%

“…Studies [22] and [23] employed GEW to study emotions towards virtual learning environments. A study by [24] evaluates user emotions related to coffee machines and alarm clock, while in [25] the GEW is used to assess user emotions towards a higher learning website.…”

Section: Methodsmentioning

confidence: 99%

“…The emotion of "interest" is usually correlated with innovative practices, the growth of skills and knowledge, the learning of new abilities, and consistency in an effort [34]. While most previous studies [22] [23] [25] successfully evaluates user emotions to address the user response towards the design of technology, this study, at the same time, identifies the factors and elements that are addressing those user emotions. The findings show that the highlighted elements are the potential antecedents that affect the trust of the user, hence becoming a strategy that needs to be addressed for constructing an emotion-based trust design framework for persuasive technology.…”

Section: Relation Between the Emotional States And Stimulation Factorsmentioning

confidence: 99%

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Understanding user Emotions Through Interaction with Persuasive Technology

Ahmad¹,

Ali²,

Rodzuan³

2020

IJACSA

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Emotions play a vital role in persuasion; thus, the use of persuasive applications should affect and appeal to the users' emotions. However, studies in persuasive technology have yet to discover what triggered the users' emotions. Therefore, the objectives of this study are to examine user emotions and to identify the factors that affect user emotions in using persuasive applications. This study is conducted in three stages; preinteraction, during-interaction and post-interaction, employed a mixed-method approach using Geneva Emotions Wheel (GEW) and open-ended survey questions that analyzed using thematic analysis. The result shows that most of the emotions that users felt belong to high-control positive valence emotions that consist of interest, joy and pleasure. User, system and interaction are the three factors that triggered the emotions encompasses of elements such as Individual Awareness, Personality, Interface Design, Persuasive Function, Content Presentation, System Quality, Usability, and Tasks. The findings contribute to the body knowledge of Persuasive Technology, where the discovered factors and its elements are the antecedents that should be the concern in constructing an emotion-based trust design framework that could bring emotional impact to users to ensure a successful persuasion.

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Section: Relation Between the Emotional States And Stimulation Factorsmentioning

confidence: 70%

Section: Methodsmentioning

confidence: 99%

Section: Relation Between the Emotional States And Stimulation Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Understanding user Emotions Through Interaction with Persuasive Technology

Ahmad¹,

Ali²,

Rodzuan³

2020

IJACSA

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“…The GEW tool has been utilised in various field studies to investigate users' emotions concerning processes [26], products [27], [28], and technology [14]. Zhang et a.…”

Section: Introductionmentioning

confidence: 99%

Measuring user emotional responses using Geneva Emotion Wheel towards learning management systems

Ahmad

Rodzuan

Luan

2022

IJEECS

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The learning management system (LMS) has been used widely in higher learning institutions for blended learning; this interaction involves user cognition and may induce emotional experience. Therefore, the user has to sustain a positive emotional experience towards using LMS to avoid difficulty in the learning process. However, the user emotions and the design elements that induced the emotions are yet to discover. This study aims to analyse user emotional responses to a learning management design and examine the emotional design features of a learning management system. Two versions of a higher learning institution LMS were used and investigated using Geneva Emotion Wheel (GEW). The findings show that both LMS versions lack-in activate the positive emotions, but prove the LMS designs reduce the activation of negative emotions. Furthermore, the emotional design elements that concern an LMS is explained.

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“…Th is was then supported by Robinson (2008), that identify ing the basic emotion and its definit ion was required to the classificat ion of emotion into positive and negative emotion [18]. This method was already used in res earches such as [19][20]. Unfortunately, classifying the emotions into positive and negative emotion was not easy if the basic level of human emotion was not identified.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of positive emotion in children mobile learning application

et al. 2020

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This paper presents the evaluation of positive emotion in children's mobile learning applications. The mobile learning application is a teaching aid that can help students to self-study and increase the students’ interest in learning especially children. This paper will discuss how mobile learning application affects the children interest in school. The evaluation method implemented to evaluate the rate of positive emotion elicited by the children using mobile learning applications was a mixed method of qualitative and quantitative methods. Since emotion can be either negative or positive, the identification of a proper method or perspective was required to prove that positive emotion was really elicited. Next, the data was collected through the children’s assessment score, Electroencephalograms (EEG) device, Emotion identification using micro-expression (facial expression), Kort Scale and interview to confirm the positive emotion felt by the students. The result shows that all five perspectives or methods have shown that positive emotion is produced. It is found that the Mobile learning application can really trigger the children’s positive emotions.

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