Virtual Reality Modeling Research Articles

Integrating deep learning model and virtual reality technology for motion prediction in emergencies

Predicting the evacuation behavior of pedestrians in emergencies is essential for ensuring public safety. Existing deep learning-based prediction models generally focus on crowd trajectories extrapolation in conventional scenarios but ignore the effect of emergencies on human behavior. Their performance has not been rigorously validated during emergency events such as fires and floodwaters. In this paper, we implement a combined solution involving a transformer-based network and virtual reality (VR) modeling. The proposed virtual reality-trained neural network incorporates diverse cues from human poses, moving paths, scenes, and emergency events to predict future trajectories. The virtual reality modeling creates diverse evacuation scenarios to enhance prediction performance. Moreover, based on the pretraining of our constructed VR dataset, the designed model can be applied to real-world human behavior prediction. The experimental results demonstrate our model’s superior accuracy in various scenarios, particularly for emergency evacuations, showcasing its ability to capture the dynamics of human behavior in safety-critical environments.

Trainee experience in virtual reality simulation in orbital surgery

ABSTRACT Purpose To demonstrate the role of Virtual Reality (VR) in orbital surgery as an educational tool for surgical trainees. Methods A single-center prospective study was conducted from February 2021 to April 2023. Pre-operative magnetic resonance imaging and computed tomography scans were used to create patient-specific VR models of the orbit using ImmersiveTouch Software. Accuracy of the models was qualitatively assessed by an attending oculofacial surgeon. Surveys regarding understanding of the surgical plan were distributed to trainees before the VR simulation, after its use, and following surgery. Results VR models were made for 28 cases, and 52 surveys were completed by residents in ophthalmology, otolaryngology, plastic surgery, and by oculofacial fellows. The VR models for 93% of the cases were rated as accurate by the attending physician. Assigned trainee tasks included measurement of an orbital fracture (n = 1, 1.9%), measurement of orbital tumors (n = 12, 23.1%), and drilling of the orbital bone to simulate an orbital decompression (n = 10, 19.2%). The tumor measurements made by trainees using the VR system were not significantly different than those recorded by the radiologists (p > 0.05). Early trainees (i.e. residents and the first year oculofacial fellow) noted significant improvement in their understanding of the pathology relative to important anatomical landmarks within the orbit after utilizing the VR models prior to surgery (p < 0.001). Conclusions Patient-specific VR models accurately simulate orbital pathology and may improve trainees’ understanding of orbital anatomy early in their careers.

Virtual reality for patient informed consent in skull base tumors and intracranial vascular pathologies: A pilot study

Purpose With the growing demand for shared decision-making and patient-centered care, optimal informed consent (IC) has gained relevance. Virtual reality (VR) has seen significant technological advancements, and its medical applications currently include surgical planning and medical education. This pilot study investigates the feasibility of VR-enhanced informed consent (VR-IC) in neurosurgery to improve preoperative IC and patient satisfaction.MethodsWe included patients aged 18 to 75 years who were scheduled for skull base meningioma or brain aneurysm surgery between May and December 2023. Exclusion criteria were visual/auditory impairments and severe cognitive/psychiatric disorders. Patients received standard IC followed by VR-IC using patient-specific VR models of their pathology. After an initial demonstration by the surgeon, the patients used the VR station independently. A questionnaire with 18 questions on a 5-point Likert scale assessed the subjective impression of VR-IC.ResultsTen patients participated in the study, with six (60%) undergoing aneurysm clipping and four (40%) undergoing skull base meningioma resection. The mean age of the participants was 58 years (± 15, range 27 to 75 years), with four female patients (40%). Patients overall rated the VR-informed consent (VR-IC) positively with a mean of 4.22 (± 0.84). There was a better understanding of their pathology (mean 4.30 ± 0.92) and the planned procedure (mean 3.95 ± 1.04). Trust in the surgeon was rated with a mean of 3.47 (± 0.94). Only minimal side effects from the VR experience including dizziness or discomfort were noted (mean 4.60 ± 0.22). None of the participants dropped out of the study.ConclusionVR-enhanced informed consent is feasible and improves patient understanding and satisfaction without significant side effects. These findings will guide the planning of a randomized controlled trial to validate the benefits of VR-IC in neurosurgery further.

A Taxonomy of Embodiment in the AI Era

This paper presents a taxonomy of agents’ embodiment in physical and virtual environments. It categorizes embodiment based on five entities: the agent being embodied, the possible mediator of the embodiment, the environment in which sensing and acting take place, the degree of body, and the intertwining of body, mind, and environment. The taxonomy is applied to a wide range of embodiment of humans, artifacts, and programs, including recent technological and scientific innovations related to virtual reality, augmented reality, telepresence, the metaverse, digital twins, and large language models. The presented taxonomy is a powerful tool to analyze, clarify, and compare complex cases of embodiment. For example, it makes the choice between a dualistic and non-dualistic perspective of an agent’s embodiment explicit and clear. The taxonomy also aided us to formulate the term “embodiment by proxy” to denote how seemingly non-embodied agents may affect the world by using humans as “extended arms”. We also introduce the concept “off-line embodiment” to describe large language models’ ability to create an illusion of human perception.

Simulation methods realized by virtual reality modeling language for 3D animation considering fuzzy model recognition.

The creation of 3D animation increasingly prioritizes the enhancement of character effects, narrative depth, and audience engagement to address the growing demands for visual stimulation, cultural enrichment, and interactive experiences. The advancement of virtual reality (VR) animation is anticipated to require sustained collaboration among researchers, animation experts, and hardware developers over an extended period to achieve full maturity. This article explores the use of Virtual Reality Modeling Language (VRML) in generating 3D stereoscopic forms and environments, applying texture mapping, optimizing lighting effects, and establishing interactive user responses, thereby enriching the 3D animation experience. VRML's functionality is further expanded through the integration of script programs in languages such as Java, JavaScript, and VRML Script via the Script node. The implementation of fuzzy model recognition within 3D animation simulations enhances the identification of textual, musical, and linguistic elements, resulting in improved frame rates. This study also analyzes the real-time correlation between the number of polygons and frame rates in a virtual museum animation scene. The findings demonstrate that the frame rate of the 3D animation within this virtual setting consistently exceeds 40 frames per second, thereby ensuring robust real-time performance, preserving the quality of 3D models, and optimizing rendering speed and visual effects without affecting the system's responsiveness to additional functions.

Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology

AbstractA thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks. In this article, a VR educational tool is presented designed to explore the potential of knowledge maps as a complementary visual encoding for labeled 3D anatomy models. Focusing on surgical anatomy for implantology, it was investigated whether integrating knowledge maps within a VR environment could improve students' understanding and retention of complex anatomical relationships. The study involved 30 master's students in dentistry and 3 anatomy teachers, who used the tool and were subsequently assessed through surgical anatomy quizzes (measuring both completion times and scores) and subjective feedback (assessing user satisfaction, preferences, system usability, and task workload). The results showed that using knowledge maps in an immersive environment facilitates learning and teaching surgical anatomy applied to implantology, serving as a complementary tool to conventional VR educational methods.

A pilot study of a virtual reality-based simulation platform for Neonatal Resuscitation Program training.

This pilot implementation study introduces a novel, neonatal-specific virtual reality (VR) simulation platform for resuscitation training and assesses its initial feasibility and reception in a neonatal intensive care unit setting. We developed a custom VR model simulating a resuscitation scenario for a 30-week neonate. Neonatal providers completed individualized training sessions and post-training surveys. Thirty-eight neonatal providers participated in the study. The VR platform was well-received, with 97% willing to use it again and 95% recommending it. Most participants (70.3%) found VR more realistic than traditional methods, with an average usefulness rating of 4.5/5. However, 40.5% reported adverse effects like eye strain and motion sickness. Feedback led to three significant VR platform upgrades. This study demonstrates strong enthusiasm for VR among neonatal providers. While promising, further research with larger samples and comparisons to traditional methods is needed to fully evaluate VR's effectiveness in neonatal resuscitation training.

Neuroendoscopy Training

AbstractNeuroendoscopy can be learnt by assisting or doing live human surgery, cadaver dissection with or without augmented pulsatile vessel and cerebrospinal fluid (CSF) perfusion, and practicing on live animal, dead animal model, synthetic models, three-dimensional printing model with or without augmentation with animal, cadaver tissue, pulsatile vessel and reconstructed CSF model, virtual reality (VR) simulator, and hybrid simulators (combined physical model and VR model). Neurosurgery skill laboratory with basic and advanced learning should be there in all teaching hospitals. Skills can be transferred from simulation model or VR to cadaver to live surgery. Staged learning (first with simple model to learn basic endoscopic technique, then animal model, and then augmented cadavers) is the preferred method of learning. Although most surveys favor live surgery and practice on animal models and cadavers as the most preferred training model now, in future VR may also become a favored method of learning. This article is based on our experience in over 10,000 neuroendoscopic surgeries, and feedback from over 950 neuroendoscopic fellows or consultants who attended workshops conducted every 6 monthly since 2010. A literature search was done on PubMed and Google Scholar using (neuroendoscopy) AND (learning), and (neuroendoscopy) AND (training), which resulted in 121 and 213 results, respectively. Out of them, 77 articles were finally selected for this article. Most of the training programs typically focus on microneurosurgical training. There is lack of learning facilities for neuroendoscopy in most centers. Learning of neuroendoscopy differs greatly from microneurosurgery; switching from microneurosurgery to neuroendoscopy can be challenging. Postgraduate training centers should have well-equipped neuroendoscopy skill laboratory and the surgical educational curriculum should include neuroendoscopy training. Learning endoscopy is about taking advantages of the technique and overcoming the limitations of endoscopy by continuous training.

Bridging Theory and Practice in Military Education Through Advanced Technologies

This study presents a comprehensive examination of the developmental trajectory and operational advancement of a pioneering military simulation apparatus explicitly engineered to facilitate the seamless integration of joint fire support principles within the ambit of military education, with a specific focus on artillery students. The Virtual Reality (VR) and Augmented Reality (AR) technology provided by industry leaders such as Microsoft and Meta present solutions for interdisciplinary pursuits situated at the confluence of emergent technologies and contemporary military instructional methodologies. Central to the efficacy of this endeavour is the incorporation of meticulously crafted virtual and augmented reality models of authentic military equipment to imbue the simulation experience with unparalleled realism and fidelity to the principles of artillery fires. Collaborative ventures with private enterprises have facilitated the production of a simulator characterized by its gamification elements and unparalleled verisimilitude, enhancing its efficacy as an educational tool. Augmented by spatial intelligence gleaned from Unmanned Aerial Vehicle (UAV) sensors, the simulation framework can be further enriched by integrating true-to-life topographic representations meticulously synthesized by amalgamating laser scanning methodologies. Positioned as an indispensable cornerstone within the academic purview of the esteemed Department of Fire Support at the University of Defence, this initiative aspires to impart foundational knowledge and cultivate a proactive ethos of inquiry and engagement amongst the students. Furthermore, the simulator is a pivotal instrument for military training, offering a risk-free environment devoid of the hazards associated with live artillery fire exercises. By mitigating financial burdens and other logistical constraints inherent in conventional training methodologies, this innovative simulation apparatus represents a paradigm shift in contemporary military education and training practices.

The Eindhoven Acoustic Virtual Reality (EAVR) toolkit in education and beyond

The Eindhoven Acoustic Virtual Reality (EAVR) toolkit is an open-source software intended to teach undergraduate students in architecture principles in acoustics in an intuitive and interactive way. EAVR allows students to experience and interact with their 3D models in Virtual Reality (VR), by changing the materials of the surfaces and changing the size of the room in real time. Since its conception in 2019, EAVR has been employed in several courses at the Eindhoven University of Technology (TU/e), where students (re)created various spaces, ranging from lecture halls to concert venues. Using students' feedback, an improved version of the toolkit, named EAVR-v2, was created and is presented in this paper. Two spin-off projects of this, a restaurant environment and a concert hall, were presented at the annual Dutch Design Week (DDW) in Eindhoven, which provided general insights in the usability of the toolkit. This paper presents several findings made while using EAVR in education as well as during the DDW. The findings indicate that students enjoy working with EAVR, and highlighted aspects that need improvement.

Educational potential of 3D teeth models in virtual reality

Educational potential of 3D teeth models in virtual reality

Beyond Creating Collections

This paper aims to demonstrate how virtual reality (VR), augmented reality (AR), and 3D archaeological reconstructions have been employed to immerse viewers into historical places with the inclusion or exclusion of digital narratives in the heritage and tourism sectors. Countless galleries, libraries, archives, and museums have included digitally re-created objects and re-imagined scenes in situ through theatrical sets and live historical re-enactments to help visitors see and contextualise objects from history. What if these techniques were applied to 3D virtual narrative experiences? This scoping review focuses primarily on selected studies that create 3D models for archaeology, VR, and AR that utilise 3D models, and virtual heritage ‘edutainment’ experiences published within the last five years (i.e., 2018-2023). It gives an overview of the current methods and technologies used to create 3D heritage productions for scientific studies, heritage preservation and tourism, and educational applications. Ultimately, this paper discusses possibilities for future work on how extended reality and 3D models could be included in narrative experiences based on gaps in the existing research.

Enhancing Patient Comprehension in Skull-Base Meningioma Surgery through 3D Volumetric Reconstructions: A Cost-Effective Approach.

Understanding complex neurosurgical procedures and diseases, such as skull-base meningiomas, is challenging for patients due to the intricate anatomy and the involvement of critical neurovascular structures. Enhanced patient comprehension is crucial for satisfaction and improved clinical outcomes. Patient-specific 3D models have demonstrated benefits in patient education, though they are costly and time-intensive to produce. This study investigates whether the use of 3D volumetric reconstructions with anatomical segmentation, widely available via neuronavigation software, can improve patients' understanding of skull-base meningiomas, surgical procedures, and potential complications. This study included twenty patients with skull-base meningiomas. Three-dimensional volume reconstructions and anatomical segmentations were created using preoperative MRI sequences with neuronavigation software. These reconstructions were used during patient consultations where a surgeon explained key aspects of the disease, the surgical intervention, and potential complications. A questionnaire assessed the patients' perceptions of the utility of these 3D reconstructions. The majority of patients (75%) found the 3D volumetric reconstructions and anatomical segmentations to be more beneficial than MRI images for understanding their disease. Similarly, 75% reported improved comprehension of the surgical approach, and 85% felt that the reconstructions enhanced their understanding of potential surgical complications. Overall, 65% of patients considered the 3D reconstructions valuable in medical consultations. Our study indicates that using accessible, cost-effective, and non-time-consuming 3D volumetric reconstructions with anatomical segmentation enhances patient understanding of skull-base meningiomas. Further research is necessary to confirm these findings, compare these reconstructions with physical 3D models and virtual reality models, and evaluate their impact on patient anxiety regarding the surgical procedure.

WP6.4 - General Surgery Bootcamp: Improving Induction for Higher General Surgery Training

Abstract Aim To create an introductory course or “bootcamp” to assist new ST3s transition from working at core trainee to General Surgical Registrar level. Method Using previous expertise of “bootcamps” delivered in the region in similar specialities, a 3-day programme was designed to offer training in areas aligned to the curriculum and considered useful to newly starting higher surgical trainees. The course involved a mix of simulation-based workshops, lectures and skill-based labs. The programme was delivered by a senior faculty directing activity with support from industry partners and medical education/simulation expertise. A range of skills were targeted using animal, virtual and augmented reality models, low and high-fidelity simulation, and non-operative technical skills (NOTSS) in simulated ward and theatre environments. Results 26 trainees (23 new General Surgery ST3s, 3 returning to training) completed the bootcamp. Feedback questionnaires using a likert scale demonstrated clear improvements in trainees’ own skill perception in endoscopy, laparoscopy, open surgery and NOTSS. 100% of responding trainees’ were confident or strongly confident post course, compared to 69% before. We also showed an increase in confidence in laparoscopic suturing (77%), duodenal ulcer repair (69%) and operating in a stressful environment. Conclusions A transitional “bootcamp” can provide both tangible and intangible benefits. This project showed clear improvement in trainee confidence both in key practical and non-practical skills such as communication. It also enabled registrars to familiarise themselves with new colleagues, facilitating an early welcome from the region and embedded support network.

Transorbital Approach Clipping of Middle Cerebral Artery Aneurysm: A Virtual Reality Morphometric Anatomic Study

The transorbital approach (TOA) has a unique advantage to the more common lateral approaches as it provides direct access to the anterior middle fossa and medial sylvian fissure (SF) without significant dissection or retraction. However, when to use the TOA for surgical treatment of MCA aneurysms remains unclear. This study details the feasibility of clipping unruptured middle cerebral artery (MCA) aneurysms via the TOA by highlighting the anatomic features that either facilitate or hinder the approach. Virtual reality (VR) models of 25 MCA aneurysms from CT angiograms of actual patients were rendered with the relevant anatomic structures, including the neighboring temporal lobe and SF. TOA was performed on the models in VR and the globe was translated medially and inferiorly, replicating retraction used intraoperatively. Anatomic data, including the area of surgical freedom (AOF) at the aneurysm, were recorded. Trials of aneurysm clipping were conducted in VR and each aneurysm was classified as "possible" or "impossible" candidates for clipping via TOA. Separately, the relationship between surgical view and SF visualized was analyzed. Sixteen aneurysms were eliminated as candidates for TOA treatment either through VR clip trial and/or because the SF was inaccessible. The remaining 9 (36%) were candidates for TOA. Comparing the details of these two aneurysm categories with Mann Whitney U tests, there was a statistically significant difference in the AOF of the TOA approach and the width of the aneurysm dome. A clinical case report is also provided highlighting the VR rehearsal similarity with surgery. Given the minimally-invasive, technically-challenging approach, the feasibility and safety of TOA for MCA aneurysms must be evaluated before wide clinical adoption. This study identified AOF, aneurysm width, and SF accessibility as three features that may significantly impact the possibility of clipping MCA aneurysms via TOA.

Virtual Reality as an Adjunct to Traditional Patient Counseling in Patients With Newly Diagnosed Localized Prostate Cancer

ObjectivesTo determine the utility of a virtual reality (VR) model constructed using patient-derived clinical imaging to improve patient understanding of localized prostate cancer (PCa) diagnosis and surgical plan. MethodsPatients undergoing robotic radical prostatectomy were selected and demographic data recorded. Patients completed a questionnaire to assess baseline knowledge of their diagnosis after consultation and shared-decision making with their surgeon. A trained non-clinical staff member then guided the patient through a VR experience to view patient-specific anatomy in a 3-dimensional space. Patients then completed the same questionnaire, followed by an additional post-VR questionnaire evaluating patient satisfaction. Questions 1-7 (patient understanding of prostate cancer and treatment plan) and 11-17 (patient opinion of VR) used a standard Likert scale and Questions 8-10 were multiple choice with 1 correct answer. ResultsIn total, 15 patients were included with an average age of 64.1 years. 6 of 7 questions showed an improvement after VR (p<0.001). The percentage of correct responses on Questions 8-10 were higher after VR but not statistically significant (p>0.13). Mean responses range from 4.3 to 4.8 (Likert scale, 1 through 5) for the post-VR questionnaire, with a mean total of 31.9 out of 35. ConclusionThis small preliminary investigation of a novel technology to improve the patient experience showed potential as an adjunct to traditional patient counseling. However, due the small sample size and study design, further research is needed to determine the value VR adds to prostate cancer surgical counselling.

Possibility of 3D Model Collections with LiDAR: Simply, Easily, and Inexpensively in Paleontology

Until several years ago, it was difficult for the general public to acquire 3D data. Recently, portable devices have been equipped with LiDAR (Light Detection And Ranging). LiDAR is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver. It is easy to acquire 3D data by LiDAR at low cost, so making 3D digital specimens and using 3D databases have become more popular. This study aims to to investigate the possibility of creating 3D digital model collections in paleontology using a simple, easy and inexpensive approach that applies portable devices equipped with LiDAR. Two Apple iPad Pro® (3rd and 4th generation) and an iPhone® 15 Pro equipped with LiDAR are used with the Scaniverse application. The scanning distance of Scaniverse is from 0.3 m to 5.0 m for 3D modelling. Targets of paleontological 3D models in our study, range from hand-sized specimens to exhibits several meters in size, exhibition rooms and outcrops, including a 5 cm ammonite and an ~3 m full-body replica of Naumann’s elephant, Palaeoloxodon naumanni. In this case study, it was difficult to make 3D models of specimens under 10 cm diameter. On the other hand, 3D modelling of specimens greater than 10 cm, and up to 5 m long produced reasonable results. These 3D model collections can be used as exhibits and for education by making 3D printings and virtual reality (VR) models. Because the LiDAR technology is now built into common devices, problems may arise because anyone could make and share 3D models simply, easily, and inexpensively. Several issues of ownership, such as copyright, could arise from creating these models because digital data policies are not uniform or codified between museums and institutions. In the future, rules to govern these collections internationally need to be developed.

FBSA-Net: A novel model based on attention mechanisms for emotion recognition in VR and 2D scenes

Recent studies have found that electroencephalographic (EEG) features from different frequency bands and different brain regions contribute differently to emotion recognition (ER) in virtual reality (VR) and two-dimensional (2D) scenes. Despite achievements in the task of ER in both VR and 2D environments, there has not been much prior effort to develop a unified ER model that can be applied to both VR and 2D environments. We propose a novel Frequency-Band-Spatial-based Attention Network, named FBSA-Net, for ER in VR and 2D scenes. Specifically, FBSA-Net adaptively captures the frequency-band-spatial relationship of EEG signals through cascade fusion of frequency-band attention (FBA) module and spatial attention (SA) module. The FBA module can automatically assign FBA weights to each band feature. The SA module then applies the ProbeParse attention mechanism to adaptively explore channel relationships both within and across brain regions, thus facilitating a comprehensive understanding of the global features of the EEG signals. The model's efficacy was validated through the VRSDEED dataset, created from emotion induction experiments using VR and 2D induction programs. Multiple comparative experiments have shown that FBSA-Net achieved state-of-the-art recognition results on VRSDEED datasets, achieving average recognition accuracies of 96.63% and 96.49% in VR and 2D scenes, respectively. The research results indicate that the significant contribution of FBSA-Net is not only reflected in the ability to provide ER using the same model in VR and 2D environments, but also in its excellent ability to distinguish between the emotional states in these two scenarios, providing a valuable reference for using the same model for ER.

Comparative Analysis of SAAS Model and NPC Integration for Enhancing VR Shopping Experiences

This article examines the incorporation of the Shopping Assistance Automatic Suggestion (SAAS) model into Virtual Reality (VR) environments in order to improve the online shopping experience. The SAAS model employs sophisticated deep learning methods to offer customized product recommendations, which are conveyed by non-player characters (NPCs) via voice-based interactions. Our goal is to develop an interactive shopping experience that replicates real-life interactions by integrating AI-powered recommendations with immersive VR technology. We gather and standardize data from several open commerce databases, such as Amazon Product and Customer Reviews. The SAAS model, in conjunction with GPT-3, BERT, and T5, undergoes training and testing to evaluate its effectiveness across multiple criteria. The results demonstrate that the SAAS model surpasses other models in delivering contextually aware and pertinent recommendations. The integration process outlines the specific steps involved in capturing, processing, and transforming user interactions in virtual reality (VR) into vocal suggestions provided by non-player characters (NPCs). This strategy improves customization and utilizes the immersive features of virtual reality to effectively engage people. The results of our research establish a higher standard for e-commerce, with the goal of enhancing the user experience of online purchasing by making it more instinctive, engaging, and pleasurable.

Design of Immersive VR Tourism Analysis Model Based on Fuzzy Logic Algorithm

Immersive virtual reality (VR) is a technology that transports users into fully immersive digital environments, often through the use of specialized headsets and sensory equipment. A three-dimensional environment, immersive VR offers users an unparalleled sense of presence and interaction, enabling them to explore and interact with virtual worlds as if they were physically present. This paper develops an effective immersive Virtual Reality (VR) model for tourism. The proposed model uses the fuzzy-based logic rules for tourism in VR for the classification with the Backpropagation Feedforward Neural Network (BFNN). Through the developed model efficacy of BFNN-based algorithms in accurately classifying diverse virtual environments and detecting edges with precision. The analysis of the results stated that the through BFNN model MSE and PSNR value is achieved with the value of 0.007 and 28.9 respectively. With the developed model significant classification is achieved with the BFNN model value for the exploration, cultural heritage, adventure, Urban exploration, and Relaxation. Additionally, comparative analyses demonstrate the superiority of BFNNs over alternative classification models, underscoring their effectiveness in accurately categorizing immersive tourism experiences. These findings stated that the advancement of immersive VR technology also offers practical insights for optimizing computational algorithms in immersive tourism applications. The potential of BFNNs redefine the landscape of immersive VR tourism, delivering captivating and personalized virtual experiences that elevate user engagement and satisfaction to unprecedented levels.