A Collaborative Virtual Reality System (VRS) with X3D Visualization for RAPID

Mascolino, Valerio; Haghighat, Alireza; Polys, Nicholas F.; Roskoff, Nathan; Rajamohan, Srijith

doi:10.1145/3329714.3338135

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Collaborative operation simulators have been successfully applied to teaching and training in various fields, including medicine [10,11,31,51], manufacturing [3,25,27,28,53,57], construction [2,14,41,54], and energy industry [13,33,44,46]. In the medical field, Chebbi et al [10,31] developed a collaborative virtual haptic surgical training system using a client-server architecture.…”

Section: Related Workmentioning

confidence: 99%

“…They further evaluated the effectiveness of this approach by assessing students' learning performance. For the energy industry, Santos et al [13,33,44,46] proposed collaborative training environments that enable learners to practice realistic conditions without subjecting themselves to various constraints, such as limited equipment exposure or adverse weather conditions. These environments also facilitate the performance of different risk analyses.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Research on an educational virtual training system for ship life‐saving appliances

Qiu,

Ren,

Wang

et al. 2024

Comp Applic In Engineering

View full text Add to dashboard Cite

Life‐saving appliances (LSAs) play a crucial role in maritime emergencies, and seafarers need to undergo rigorous professional training on these appliances to ensure their competence in maritime work. However, traditional teaching and training that mainly rely on real appliances have several limitations. To address these limitations, we have developed a virtual training system that enables multiperson collaborative operation. To guarantee the system's scalability and versatility, the system framework is designed to be modular. In the networking function section, we establish a network architecture and apply state synchronization mechanisms to ensure consistent scenarios across multiusers. Additionally, we propose an interaction management model and an evaluation model for collaborative training and evaluation. Two collaborative training modes are designed to enhance the flexibility of the system. To evaluate the effectiveness of our system, we select 72 trainees to participate in a training and evaluation experiment. The evaluation model is validated by comparing it with expert evaluations. The results show that trainees can gain a better understanding of their roles and responsibilities and accurately remember the collaborative operation sequence. The training effect is positive, indicating that our system can effectively facilitate the teaching and training of LSAs.

show abstract