The Effects of Service Quality of Education on Service Commitment - Focused on Life Insurance Planners -

Bae, Injoung; Choi, Jeong-Il; Kang, Miseon; sungeun, Lim

doi:10.7469/jksqm.2013.41.1.079

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…In addition, higher immersion can reduce information confusion. These characteristics show that immersion [7], used as a measure of user satisfaction with service use, is applied equally in VR environments. Kim et al [5] showed that VR content in undergraduate education can be used to induce more active participation, as students are more immersed than in conventional 2D video methods.…”

Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 92%

“…Immersion is the most important criterion for evaluating how well the VR content is created [7]. VR allows users to experience it indirectly by providing a virtual environment that is different from reality and is used in various fields, such as games, movies, education, and medical care, based on a high sense of reality.…”

Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 99%

“…Therefore, it is crucial to avoid any decline in immersion during emotion analysis. As immersion is ultimately used to develop VR content that users want [7], we intend to show that emotion analysis is possible with high accuracy while maintaining immersion in a VR environment.…”

Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 99%

“…In previous studies [3][4][5][6], emotion analysis was conducted to improve the realistic experience of VR content. This is because the emotions felt by users while using VR application are not only used as important data for evaluating VR content but also analyzed to develop better VR environments [7]. Users can experience various emotions while using VR content, and the emotions felt by them are mainly recorded through a self-reporting survey.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Immersive Emotion Analysis in VR Environments: A Sensor-Based Approach to Prevent Distortion

Joo,

Han,

Park

et al. 2024

Electronics

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As virtual reality (VR) technology advances, research has focused on enhancing VR content for a more realistic user experience. Traditional emotion analysis relies on surveys, but they suffer from delayed responses and decreased immersion, leading to distorted results. To overcome these limitations, we propose an emotion analysis method using sensor data in the VR environment. Our approach can take advantage of the user’s immediate response and not reduce immersion. Linear regression, classification analysis, and tree-based methods were applied to electrocardiogram and galvanic skin response (GSR) sensor data to measure valence and arousal values. We introduced a novel emotional dimension model by analyzing correlations between emotions and the valence and arousal values. Experimental results demonstrated the highest accuracy of 77% and 92.3% for valence and arousal prediction, respectively, using GSR sensor data. Furthermore, an accuracy of 80.25% was achieved in predicting valence and arousal using nine emotions. Our proposed model improves VR content through more accurate emotion analysis in a VR environment, which can be useful for targeting customers in various industries, such as marketing, gaming, education, and healthcare.

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Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 92%

Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 99%

Section: Importance Of Immersion In Vr Contentsmentioning

confidence: 99%