• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.738-750
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• 2022

In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.720-721
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• 2023

이 논문은 서비스를 제공하는 로봇과 사용자가 상호작용하는 새로운 방식의 XR 인터페이스를 제안한다. 사용자는 제안한 XR 인터페이스를 통해 현실을 모사한 XR 공간 내에서 서비스 로봇에게 직관적으로 서비스 작업이나 공간 이동을 요청하고, 요청한 작업을 편리하게 관리할 수 있다. 이러한 명령, 이동, 편집은 용이하게 전환된다. HTC VIVE 와 Unity 엔진을 사용하여 프로토타입을 구현하였다. 추후 인터페이스를 실제 로봇 시스템과 통합하고, 사용자 테스트를 수행하여 사용성 향상을 검증하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.871-872
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• 2024

본 논문은 서비스용 멀티로봇과 사용자가 상호작용할 수 있는 XR 인터페이스를 제안한다. 사용자는 자신이 내린 명령이 스케줄러를 통해 여러 대의 로봇으로 분배된 결과와 실시간 작업 현황을 확인할 수 있다. 또한, 대기 중인 작업에 한해 작업의 순서를 변경하거나, 2 개의 작업을 한 번에 수행하도록 합칠 수 있고, 그에 대한 스케줄링 결과를 확인할 수 있다. 구현에는 Unity 엔진을 사용하였다.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.574-581
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• 2024

This study explores the usability of extended reality (XR) content tailored for production process training, with a focus on user experience. Participants engaged with extended reality training modules, and qualitative data was subsequently collected through interviews. These interviews evaluated the hardware, user interface, and overall user satisfaction. The analysis utilized python packages for keyword extraction and word cloud visualization, offering insights into user perceptions. The findings revealed that although the hardware was deemed comfortable, concerns were raised regarding its weight and heat emission. The interactive interface, which relies on hand tracking, encountered issues with recognition rates, leading to suggestions for alternative input methods. Users acknowledged extended reality's potential impact on industries like healthcare and education, sharing both positive and negative views on the technology. This research enhances our understanding of user responses and guides the future enhancement of extended reality content for industrial applications, aiming to improve its quality and practical usability

• Smart Media Journal
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• v.11 no.9
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• pp.81-93
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• 2022

In an era where non-face-to-face meetings become common, eXtended Reality(XR) is rapidly developing and filling areas that are not satisfied in online meetings based on existing photos/video method. In particular, general users are also able to easily access and use HMD-type mixed reality devices. However, the basic operations applied in HMD-type in Mixed Reality(MR) with hands as the main input tool do not have a standardized system, and each manufacturer operates in a separate response to each other's hand movements. Therefore, this study considered that a systematic hand motion matching system considering the usability and efficiency of operations performed in mixed reality was necessary, and conducted a study to clarify this. First, the basic operation performed in the MR environment and its attributes were investigated, and at the same time, the structure of the hand and the attributes of the possible hand movements were identified. Based on the identified properties, it is intended to present a system that can intuitively and efficiently match basic operation properties in the MR environment with subtle operation properties according to the structure/context of the hand.

• Journal of Multimedia Information System
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• v.7 no.4
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• pp.277-280
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• 2020

Extended reality-assisted training offers repeatable learning opportunities at a low cost. This paper proposes a smart glass application for training core nursing skills to nursing students, who often need to memorize and practice training sequences. The proposed smart glass application interactively presents a series of instructions to help students remember and perform two core nursing skills in the correct order. We conducted a usability test on 30 undergraduate nursing students in their third year using the smart glass application. Our initial findings show that many students have positively evaluated the possibility of using smart glasses for training, but have also encountered several challenges with the smart glass application's user interface, which takes time to adapt.