Search Results (409)

Background/Objectives: Meaningful social connections are critical for well-being in later life, yet older adults living with HIV frequently experience social isolation and loneliness, compounded by stigma, mental health conditions, and systemic inequities. This study aimed to explore how older adults living with HIV and a concurrent mental health diagnosis experience social isolation and cultivate meaningful relationships, situating these experiences within Social Convoy Theory. Methods: Using a Heideggerian phenomenological approach, we conducted in-depth, semi-structured interviews with 33 adults aged 50 and older in Ontario, Canada, who self-identified as living with HIV and a diagnosed mental health condition. Participants were recruited through community-engaged strategies and snowball sampling. Data were analyzed iteratively, combining descriptive and interpretive coding to identify patterns in social isolation, relational meaning, and the influence of intersecting social, structural, and health determinants. Results: Participants described social isolation as both a physical and existential experience, influenced by stigma, mental health challenges, and contextual factors such as urban versus rural settings. Meaningful relationships were characterized by authenticity, trust, emotional safety, and reciprocity, often formed within peer networks sharing similar lived experiences. Community engagement and virtual platforms facilitated connection, while rural or suburban environments often intensified isolation. Relationships providing validation, agency, and continuity of experience were particularly impactful on participants’ well-being. Conclusions: Social isolation among older adults living with HIV and mental health conditions extends beyond objective network measures to include emotional and identity-related dimensions. Interventions should prioritize affirming, context-sensitive spaces that support disclosure, trust, and reciprocal relationships, recognizing the nuanced needs of this population for both social and existential connectedness. Full article

Industrial environments increasingly demand solutions that enable safe, remote and collaborative interaction with physical processes, especially as production systems become more automated, interconnected, and geographically distributed. While digital twins have contributed significantly to monitoring and analysis tasks, they typically lack the immersive, multi-user and interactive capabilities required for advanced supervision and control scenarios. This paper proposes a comprehensive methodology for designing industrial metaverses that extend the concept of digital twins by enabling real-time bidirectional communication with physical automation systems while preserving industrial safety and cybersecurity requirements. The framework integrates a layered communication architecture, a secure command-validation gateway, and an immersive multi-user virtual environment capable of replicating and interacting with a real production process. The methodology is demonstrated through a full case study involving a pick-and-place cell connected to a real Programmable Logic Controller (PLC) via Open Platform Communications Unified Architecture (OPC UA), where a digital twin replaces the physical machine while maintaining identical communication, control logic and safety constraints. The results validate the feasibility of the approach and highlight its potential for remote supervision, operator training, collaborative interaction and experimentation without compromising plant integrity. Full article

Digital cultural-heritage (DCH) platforms are integral to achieving UN SDG Target 11.4, yet their long-term sustainability is compromised by a systemic vulnerability: the rapid decay of user engagement once the initial “novelty effect” fades. To address the theoretical anomaly of the “null effect” regarding value perception found in prior studies, this paper develops a competitive dual-path model to determine whether information-centric or experience-centric strategies effectively foster sustainable continuance intention. Drawing on the stimulus–organism–response (S-O-R) framework, interactivity is modelled as a high-order managerial investment. A quantitative survey of 407 DCH users was analysed using covariance-based structural equation modelling (CB-SEM). The results resolve the strategic dilemma: while interactivity enhances both pathways, a chi-square difference test $\left(\Delta {\chi }^2\left(1\right)=26.207\right.$, p < 0.001) confirms that affective value exerts a significantly stronger impact on cultural identity than epistemic value, supporting the affective primacy hypothesis. Crucially, cultural identity serves as the essential mediator that translates user experience into “emotional stickiness.” By demonstrating that narrative-driven affective engagement is superior to mere information dissemination, this study provides a validated blueprint for virtual–real symbiosis. The findings offer actionable guidance for managers to build digital resilience and safeguard heritage transmission across generations. Full article

Informal STEM education programs (ISEs) can be a successful vehicle for addressing the underrepresentation of girls in STEM by expanding their views of what constitutes science and debunking stereotypes related to who succeeds in STEM careers. Research has demonstrated how in-person ISEs provide opportunities for girls to engage in hands-on, authentic science experiences, interact with diverse women role models, and understand the real-world application of STEM to improve their STEM identity development (i.e., STEM competence, performance, self and external recognition, and sense of belonging within STEM). But few studies have focused on STEM identity development in online spaces. Our study addresses this gap through a mixed methods study that investigates how an online program (Brite), held in 2023, influenced the STEM identities of the participating girls. Our results highlight the aspects of the online program that improved the STEM identity for participants as well as lessons learned for future programs. The influential programmatic pieces were role model interactions and the supportive Brite community that included program educators, the other girls, and the Brite facilitators, which helped girls feel inspired and motivated to continue along their STEM identity trajectories. Full article

In social virtual reality (VR) and metaverse platforms, users express their identity through both avatar appearance and on-avatar textual cues, such as speech balloons. However, little is known about how the harmony between these cues influences self-representation and social impressions. We propose that when avatar appearance and text design, including color, font, and tone, are consistent, users experience a stronger self-expression fit and elicit greater interpersonal affinity. A within-subject study ($N=21$) in VRChat manipulated the social context, color harmony between avatar hair and text, and style or content consistency between tone and font. Questionnaires provided composite indices for perceived congruence, self-expression fit, and affinity. Analyses included repeated-measures ANOVA, linear mixed-effects models, and mediation tests. Results showed that congruent pairings increased both self-expression fit and affinity compared to mismatches, with mediation analyses indicating that self-expression fit fully mediated the effect. These findings integrate theories of avatar influence and computer-mediated communication into a framework for metaverse design, highlighting the value of consistent avatar and text styling. Full article

Recently, young people’s historical and cultural awareness has been increasingly described as fragmented and disengaged, particularly in the context of rapid social change and “liquid modernity”. Drawing on Clio, the Muse of History, as a metaphor for historical knowledge and memory, this study addresses this challenge by examining how heritage education and history didactics can be reimagined through digital transformation within tourism and educational training programmes. Based on an action research project conducted during the academic year 2022–2023 at the Polytechnic Institute of Viana do Castelo (Portugal), we combine a mixed-methods approach with surveys (n = 65) and co-creation workshops (n = 6) inspired by the Finnish Demola model. The research was presented at the INVTUR conference (2024), reinforcing its international relevance and applicability to global debates on heritage, tourism and education. The results indicate that higher education students (mainly from Tourism and Education degrees) show a low level of historical consciousness and limited cultural consumption habits, despite broad access to digital tools and cultural opportunities. However, the co-creation process revealed innovative ways of reconnecting young people with cultural identity and history, particularly through digital storytelling, gamification and virtual heritage experiences. Results show that 68% of participants report low engagement in cultural activities and that less than one-third visit museums or heritage sites regularly. These findings suggest that digital heritage pedagogies can strengthen historical awareness and contribute to more sustainable and culturally rooted forms of education and tourism. The paper concludes by proposing a framework for integrating digital transformation, heritage education, and history didactics in tourism curricula, highlighting implications for policy, pedagogy and cultural sustainability. It also underscores the urgency of rethinking digital heritage pedagogies to strengthen historical awareness and foster a renewed sense of cultural citizenship. Full article

Background/Objectives: While nurses showed a willingness to work during the pandemic and wartime, little is understood about how they managed the conflict between their roles as caregivers and personal or family obligations. They are deemed “essential workers,” risking their safety to fulfill their duties. Objectives: This study aims to explore the lived experience of nurses during COVID-19 and wartime, delving deeper into their emotional and moral experiences, providing insights for nurses and nursing management about how nurses negotiate dilemmas. Methods: A focused interpretive, hermeneutic, phenomenological approach was employed. From December 2022 to January 2023, ten hospital-based nurses from two hospitals were purposively sampled for in-depth, semi-structured interviews, which were transcribed and analyzed. The study was approved by the University Ethics Committee (31102022). Results: The essence of “ Moral Conflicts of Dual Identity and Dual Allegiance” revealed profound moral and emotional struggles among nurses. Four key themes emerged: (1) Moral Stressors and Identity Negotiation, (2) Competing Responsibilities and Ethical Double-binds, (3) Virtual and Practical Wisdom in Crises, (4) Responses of Stress and Erosion of Support Conclusions: Understanding nurses’ ethical dilemmas is essential for healthcare leadership. Leaders must make it a priority for workplace safety for their nurses. In wartime, it is not obvious that the workplace is unsafe; leaders must foster open dialog and support systems in response to these crises. This study highlights the significance of peer support, emphasizing the need for policies that address the complex moral challenges nurses face daily. Full article

Rapid urbanization and widening urban–rural disparities have contributed to decreasing youth engagement with rural development in China. As traditional outreach initiatives struggle to attract young people’s attention, immersive digital technologies have emerged as promising tools for strengthening connections to rural environments. This study explores how immersive virtual reality (VR) experiences shape university students’ behavioral intentions toward rural engagement. Using a cognitive–affective–behavioral (CAB) framework, an immersive VR experiment was conducted with 209 Chinese undergraduates using a panoramic rural video. Partial least squares structural equation modeling (PLS-SEM) validated a serial mediation model linking perceived sensory dimensions, restorative experiences (RE), and place identity (PI) to rural visit intention (RVI) and environmentally responsible behavioral intention (ERBI). The results show that VR significantly enhances RE and PI, with PI serving as the stronger mediator, particularly for students with limited rural exposure. Multigroup analysis further revealed demographic heterogeneity: women demonstrated stronger RE–PI pathways, while urban and short-term rural residents showed greater sensitivity to VR-induced presence. Overall, the findings indicate that immersive VR can reduce urban–rural psychological distance and strengthen youth engagement. The study demonstrates how digital immersive tools may support targeted education and policy interventions aimed at promoting sustainable rural development. Full article

To address the issue of further collaboratively optimizing process continuity, time cost, and equipment utilization in identical two-workshop distributed integrated scheduling, an identical two-workshop distributed integrated scheduling algorithm based on the improved bipartite graph (DISA-IBG) is proposed. The method introduces an improved bipartite graph cyclic decomposition strategy that incorporates both the topological characteristics of the process tree and the dynamic resource constraints of the workshops. Based on the resulting substrings, a multi-substring weight scheduling strategy is constructed to achieve a systematic evaluation of substring priorities. Finally, a substring pre-allocation strategy is designed to simulate the scheduling process through virtual allocation, which enables dynamic adjustments to resource allocation schemes during the actual scheduling process. Experimental results demonstrate that the algorithm reduces the total product makespan to 37 h while improving the overall equipment utilization to 67.8%, thereby achieving the synchronous optimization of “shorter processing time and higher equipment efficiency.” This research provides a feasible scheduling framework for intelligent sensor-enabled manufacturing environments and lays the foundation for data-driven collaborative optimization in cyber-physical production systems. Full article

Three-dimensional (3D) printing enables accurate implant pre-shaping in orbital reconstruction but is costly and time-consuming. Naked-eye stereoscopic displays (NEDs) enable virtual implant modeling without fabrication. This study aimed to compare the reproducibility and accuracy of NED-based virtual reality (VR) pre-shaping with conventional 3D-printed models. Two surgeons pre-shaped implants for 11 unilateral orbital floor fractures using both 3D-printed and NED-based VR models with identical computed tomography data. The depth, area, and axis dimensions were measured, and reproducibility and agreement were assessed using intraclass correlation coefficients (ICCs), Bland–Altman analysis, and shape similarity metrics—Hausdorff distance (HD) and root mean square error (RMSE). Intra-rater ICCs were ≥0.80 for all parameters except depth in the VR model. The HD and RMSE reveal no significant differences between 3D (2.64 ± 0.85 mm; 1.02 ± 0.42 mm) and VR (3.14 ± 1.18 mm; 1.24 ± 0.53 mm). Inter-rater ICCs were ≥0.80 for the area and axes in both modalities, while depth remained low. Between modalities, no significant differences were found; HD and RMSE were 2.95 ± 0.94 mm and 1.28 ± 0.49 mm. The NED-based VR pre-shaping achieved reproducibility and dimensional agreement comparable to 3D printing, suggesting a feasible cost- and time-efficient alternative for orbital reconstruction. These preliminary findings suggest that NED-based preshaping may be feasible; however, larger studies are required to confirm whether VR can achieve performance comparable to 3D-printed models. Full article

Abandoned mines, as emblematic heritage spaces in the process of deindustrialization, preserve collective production memory and serve as vital symbols of local identity. However, current redevelopment practices primarily emphasize physical restoration while overlooking the visual expression and interactive communication of regional culture. This study introduces an augmented reality (AR)–based visual narrative framework that integrates regional culture to bridge the gap between spatial renewal and cultural regeneration. Drawing on semiotics and spatial narrative theory, a multidimensional “space–symbol–memory” translation mechanism is constructed, and a coupling model linking tangible material elements with intangible cultural connotations is established. Supported by technologies such as simultaneous localization and mapping (SLAM), semantic segmentation, and level of detail (LOD) rendering, a multilayer “position–perception–presentation” module system is designed to achieve stable anchoring of virtual and physical spaces and enable multilevel narrative interaction. Through task-oriented mechanisms and user co-creation, the system effectively enhances immersion, cultural identity, and learning outcomes. Experimental validation in a representative mine site confirms the feasibility of the proposed framework. While the study focuses on a single case, the modular and mechanism-based design indicates that the framework can be adapted to cultural tourism, educational communication, and community engagement applications. The key innovation lies in introducing an iterative “evidence–experience–co-creation” model, providing a new methodological reference for the digital reuse of abandoned mines and the sustainable preservation of industrial heritage. Full article

With the widespread adoption of camera and LiDAR sensors, 3D multi-object tracking (MOT) technology has been extensively applied across numerous fields such as robotics, autonomous driving, and surveillance. However, existing 3D MOT methods still face significant challenges in addressing issues such as false detections, ghost trajectories, incorrect associations, and identity switches. To address these challenges, we propose a lightweight 3D multi-object tracking framework via collaborative camera and LiDAR sensors. Firstly, we design a confidence inverse normalization guided ghost trajectories suppression module (CIGTS). This module suppresses false detections and ghost trajectories at their source using inverse normalization and a virtual trajectory survival frame strategy. Secondly, an adaptive matching space-driven lightweight association module (AMSLA) is proposed. By discarding global association strategies, this module improves association efficiency and accuracy using low-cost decision factors. Finally, a multi-factor collaborative perception-based intelligent trajectory management module (MFCTM) is constructed. This module enables accurate retention or deletion decisions for unmatched trajectories, thereby reducing computational overhead and the risk of identity mismatches. Extensive experiments on the KITTI dataset show that the proposed method outperforms state-of-the-art methods across multiple performance metrics, achieving Higher Order Tracking Accuracy (HOTA) scores of 80.13% and 53.24% for the Car and Pedestrian categories, respectively. Full article

The large-scale deployment of distributed devices in the Internet of Things (IoT) brings urgent demands for secure, scalable, and lightweight identity authentication. For example, virtual power plants integrate numerous heterogeneous energy terminals to support grid dispatch and market operations, while posing challenges such as real-time access, resource constraints, and identity privacy protection. To address these challenges, this paper proposes NIABIAuth, a non-interactive attribute binding identity authentication protocol for IoT terminals. NIABIAuth supports dynamic challenge computation and binds cryptographic identity proofs with terminal attributes, enabling fine-grained and privacy preserving access control. By storing identity credentials and verification records on the chain, this protocol ensures traceability and tamper resistance. Experiments demonstrate that NIABIAuth maintains low authentication latency and is consistent throughput, even under constrained conditions. Compared with baseline methods, NIABIAuth achieves substantial reductions in communication and computation cost. The proposed NIABIAuth was formally verified using the AVISPA tool, which proved that it could resist common attacks, including replay attacks, man-in-the-middle attacks, etc. A large number of simulation experiments have demonstrated that the proposed protocol can provide real-time identity authentication for Internet of Things terminals. Full article

Virtual museums are increasingly adopted to sustain public engagement with cultural heritage, yet the mechanisms through which virtual exhibition experiences motivate on-site visitation remain underexplored. Drawing on the Stimulus–Organism–Response (SOR) framework and extending the Information Systems Success Model (IS Success Model), this study proposes and tests a psychological pathway linking virtual museum experience quality to offline visiting intention. Using the official website of the Sanxingdui Museum as the empirical context, we surveyed 467 users in China who explored the virtual exhibition but had never visited the museum in person. Virtual exhibition experience quality was operationalised through five dimensions: information quality, system quality, perceived interactivity, perceived authenticity and perceived enjoyment. Perceived cultural value and cultural identity were specified as mediators. Structural equation modelling revealed that higher levels of virtual exhibition experience quality significantly enhanced perceived cultural value and cultural identity. Perceived cultural value, in turn, positively predicted cultural identity, and both constructs were positively associated with intention to visit the physical museum, with a significant sequential mediation from experience quality to offline visiting intention via perceived cultural value and cultural identity. These findings clarify how virtual heritage platforms can foster cognitive appreciation and emotional identification that translate into real-world visitation, offering guidance for designing sustainable digital pathways to long-term engagement with cultural institutions. Full article

The rapid advancement of Generative Artificial Intelligence (GenAI) has enhanced fashion design creativity by introducing aesthetics beyond conventional norms. With its unique and novel aesthetics, AI-generated clothing has sparked widespread discussion on social media. However, little is known about how consumers respond when these virtual designs are transformed into wearable physical products. This study examines factors influencing Chinese consumers’ acceptance of physicalized AI-generated clothing (PAGC), which is a sustainable fashion category that improves design efficiency and enables small-scale experimental production. Grounded in the Theory of Consumption Values (TCV), eight variables across four value dimensions—functional, social, emotional, and epistemic—were identified, along with demographic characteristics. Using a non-probability voluntary sampling method, 661 valid responses from Chinese consumers were collected and analyzed through a multinomial logistic regression model. The study found that perceived algorithmic creativity, perceived novelty, and social identity are the three most influential factors on acceptance. Consumers with higher education, lower income, or fashion- and technology-related backgrounds were more likely to accept PAGC. By situating PAGC within the context of sustainable fashion innovation, this study enhances understanding of Chinese consumers’ decision-making and offers managerial insights for fashion brands striving to balance creativity and social responsibility in the GenAI era. Full article