An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality
As people begin to notice mixed reality, various studies on user satisfaction in mixed reality (MR) have been conducted. User interface (UI) is one of the representative factors that affect interaction satisfaction in MR. In conventional platforms such as mobile devices and personal computers, vario...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/9/4559 |
| _version_ | 1827673166744387584 |
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| author | Yujin Choi Yoon Sang Kim |
| author_facet | Yujin Choi Yoon Sang Kim |
| author_sort | Yujin Choi |
| collection | DOAJ |
| description | As people begin to notice mixed reality, various studies on user satisfaction in mixed reality (MR) have been conducted. User interface (UI) is one of the representative factors that affect interaction satisfaction in MR. In conventional platforms such as mobile devices and personal computers, various studies have been conducted on providing adaptive UI, and recently, such studies have also been conducted in MR environments. However, there have been few studies on providing an adaptive UI based on interaction satisfaction. Therefore, in this paper, we propose a method based on interaction-satisfaction prediction to provide an adaptive UI in MR. The proposed method predicts interaction satisfaction based on interaction information (gaze, hand, head, object) and provides an adaptive UI based on predicted interaction satisfaction. To develop the proposed method, an experiment to measure data was performed, and a user-satisfaction-prediction model was developed based on the data collected through the experiment. Next, to evaluate the proposed method, an adaptive UI providing an application using the developed user-satisfaction-prediction model was implemented. From the experimental results using the implemented application, it was confirmed that the proposed method could improve user satisfaction compared to the conventional method. |
| first_indexed | 2024-03-10T04:21:06Z |
| format | Article |
| id | doaj.art-9a491e691e254e63b6bb3bb1075409f9 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:21:06Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9a491e691e254e63b6bb3bb1075409f92023-11-23T07:50:49ZengMDPI AGApplied Sciences2076-34172022-04-01129455910.3390/app12094559An Adaptive UI Based on User-Satisfaction Prediction in Mixed RealityYujin Choi0Yoon Sang Kim1BioComputing Lab, Department of Computer Science and Engineering, Korea University of Technology and Education (KOREATECH), Cheonan 31253, KoreaBioComputing Lab, Institute for Bio-Engineering Application Technology, Department of Computer Science and Engineering, Korea University of Technology and Education (KOREATECH), Cheonan 31253, KoreaAs people begin to notice mixed reality, various studies on user satisfaction in mixed reality (MR) have been conducted. User interface (UI) is one of the representative factors that affect interaction satisfaction in MR. In conventional platforms such as mobile devices and personal computers, various studies have been conducted on providing adaptive UI, and recently, such studies have also been conducted in MR environments. However, there have been few studies on providing an adaptive UI based on interaction satisfaction. Therefore, in this paper, we propose a method based on interaction-satisfaction prediction to provide an adaptive UI in MR. The proposed method predicts interaction satisfaction based on interaction information (gaze, hand, head, object) and provides an adaptive UI based on predicted interaction satisfaction. To develop the proposed method, an experiment to measure data was performed, and a user-satisfaction-prediction model was developed based on the data collected through the experiment. Next, to evaluate the proposed method, an adaptive UI providing an application using the developed user-satisfaction-prediction model was implemented. From the experimental results using the implemented application, it was confirmed that the proposed method could improve user satisfaction compared to the conventional method.https://www.mdpi.com/2076-3417/12/9/4559mixed realityinteraction satisfactionsatisfaction predictionadaptive UIhuman–virtual-object interaction |
| spellingShingle | Yujin Choi Yoon Sang Kim An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality Applied Sciences mixed reality interaction satisfaction satisfaction prediction adaptive UI human–virtual-object interaction |
| title | An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality |
| title_full | An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality |
| title_fullStr | An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality |
| title_full_unstemmed | An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality |
| title_short | An Adaptive UI Based on User-Satisfaction Prediction in Mixed Reality |
| title_sort | adaptive ui based on user satisfaction prediction in mixed reality |
| topic | mixed reality interaction satisfaction satisfaction prediction adaptive UI human–virtual-object interaction |
| url | https://www.mdpi.com/2076-3417/12/9/4559 |
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