Time-scaled interactive object-driven multi-party VR

Jain, Nisha; Wydra, Andrzej; Hai, Wen; Thalmann, Nadia Magnenat; Thalmann, Daniel

doi:10.1007/s00371-018-1539-1

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…At the same time, it examines the sensitivity of the evaluation indicators; that is, the indicators reflect the project whether the number, presentation time, and text cues bring about significant changes in cognitive education and whether they are consistent [8]. Jain studied the influencing factors and mechanisms of visual information processing in the virtual environment from the perspective of cognitive education, which has theoretical significance and applications for enhancing the credibility and authenticity of the construction of virtual learning environments and optimizing the control of virtual perception cognitive education and learning costs [9,10]. In the immersive virtual learning environment, based on the dual-task experimental paradigm, using virtual space three-dimensional graphics as experimental materials, focusing on the impact of the number of memorization items, presentation time, and text cues on virtual cognitive education, using task performance methods and subjectivity, the measurement method is used to evaluate cognitive education.…”

Section: Introductionmentioning

confidence: 99%

Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

Jia

Huo

2021

Mobile Information Systems

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With the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality environments are currently built, and the functional development of artificial intelligence multimedia teaching systems is not comprehensive. An artificial intelligence VR video image control system is constructed for the multimedia teaching system. This article analyzes the development of artificial intelligence multimedia teaching systems and compares the detection performance and efficiency of traditional methods and artificial intelligence multimedia VR ideological and political teaching. Research shows that, in the use of VR to control the images of ideological and political teaching, the average accuracy of these ten video images is 75.68%. This shows that the video image classification and detection algorithm model based on artificial intelligence in this paper can extract deeper and more abstract features to classify the target. The artificial intelligence VR video image control algorithm constructed in this paper can reduce the maximum failure rate by 49.16%, 61.02%, and 66.94%, respectively. Compared with the traditional algorithm, the artificial intelligence VR video image control algorithm constructed in this paper can reduce the storage access delay time of 10 different video images by an average of 15.93%, can obtain about 9.37% performance optimization, and can reduce the video image control time by 7.28% and 10.63%, respectively. For pictures, the artificial intelligence VR video image control system in this article can increase the performance by up to 28.49%.

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Section: Introductionmentioning

confidence: 99%

Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

Jia

Huo

2021

Mobile Information Systems

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“…While most of these works concentrate on training athletes' sports skills in physical or psychological aspect, few attention was paid to increase normal players' game experience in VR sports games. Jain et al 1 proposed a time scaling algorithm for latency management in a VR volleyball game, which increased the user's game experience in a multiparty setting. Hai et al 2 proposed a method to increase the feeling of social presence by incorporating realistic interaction in a VR volleyball game.…”

Section: Vr Sports Gamesmentioning

confidence: 99%

“…The proposed emotional experience framework is implemented based on a comprehensive and realistic virtual reality platform. 1 This game is client-server architecture for building a multiparty VR platform, which induces the flexibility of adding multiple virtual players and/or real players (avatars) to the application. It is developed in Unity 3D engine.…”

Section: Platformmentioning

confidence: 99%

“…Virtual reality (VR) has the potential to support rich experiences and has been widely used in immersive sports games. VR volleyball games 1,2 attract public attention, as they can provide an immersive entertainment experience, which enables users to do exercise and get familiar with the game rules of volleyball. Enabling virtual characters to behave like real athletes is crucial to increase the user's feeling of immersion and engagement in the virtual environment.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games

Bai

Yao

Mishra

et al. 2021

Computer Animation & Virtual

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Virtual reality (VR) volleyball games can provide an immersive entertainment experience and facilitate users to get familiar with game rules. In real world, players often experience emotions from scores, strokes, passes, and the influence from their teammates or opponents, and so forth. However, seldom studies are carried out for this emotional experience in a virtual environment, as most VR volleyball games mainly concentrate on the game playing, such as body movements. In this article, we propose to enhance emotional experience by building emotional virtual characters in VR volleyball games. The virtual characters cannot only arouse their emotions but also express their facial expressions according to the game situation. Emotion patterns are learned from real-world volleyball matches. The results demonstrate that our framework has great potential to enhance the user's emotional experience and engagement.

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MEAN: An attention-based approach for 3D mesh shape classification

Fan

Song

et al. 2023

Vis Comput

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Time-scaled interactive object-driven multi-party VR

Cited by 8 publications

References 15 publications

Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games

MEAN: An attention-based approach for 3D mesh shape classification

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