Search Results (2,120)

Massive Open Online Courses (MOOCs) serve as catalysts for sustainable education by democratizing access to lifelong learning. While this potentially positions them as a key driver of the United Nations Sustainable Development Goal 4 (SDG 4), their long-term impact depends heavily on the implementation of inclusive design and ethical governance. This study evaluates the social sustainability of the AKADEMA platform—defined through equity of access, institutional trust, and long-term learner retention—using Badrul Khan’s e-learning framework. Employing a multi-layered mixed-methods design, the study triangulates subjective user perceptions—gathered via quantitative surveys (N = 209; a convenience sample of 6140 contacted users) and qualitative insights (n = 122)—with objective structural evidence from a technical accessibility audit. Although the results indicate high satisfaction with pedagogical quality, the findings reveal specific structural nuances regarding platform inclusivity and user diversity. Specifically, data triangulation highlights a notable ‘privacy awareness gap’—where working professionals demonstrate higher sensitivity regarding data governance than learners—alongside structural barriers hindering ‘Universal Design’ for learners with disabilities. Consequently, to strengthen the sustainability of open education models, future strategies should emphasize digital equity and institutional trust, ensuring that technical environments align with the promise of inclusive quality education. Full article

Subway public spaces have been identified as a vital medium for showcasing urban culture. The design quality of these spaces has been shown to have a profound influence on passengers’ spatial perception and cultural experience. However, amid rapid urbanization, subway stations commonly face issues such as homogeneous spatial interfaces and unclear cultural themes, resulting in diminished station identifiability. This study integrates post-use evaluation with Importance–Performance Analysis (IPA) to establish an assessment and optimization pathway aimed at systematically identifying and prioritizing key design elements for enhancing cultural identifiability. Taking Tianjin Gulou Station as a case study, user feedback collected through questionnaires identified 12 indicators influencing identifiability satisfaction. The reliability and validity of the questionnaire were confirmed through validity analysis and paired-sample t-tests, while IPA was employed to clarify improvement priorities. The results indicate that the overall perceived importance of cultural identifiability at Gulou Station significantly exceeds satisfaction levels. Landmark installations, art walls, and vertical transportation fall within the “high importance-low satisfaction” quadrant, which is identified as a primary area of focus for enhancement. Basic interface elements such as flooring and ceilings require enhancement, while transfer entrances and station name walls constitute advantageous designs warranting preservation. Based on the findings of the present study, three targeted design strategies are proposed: enhancing spatial perception, constructing cultural continuity, and integrating multidimensional experiences. These approaches seek to address the “spatial-cultural” perception gap, providing actionable pathways for the distinctive renewal of subway spaces. Full article

Background/Objectives: Hemodynamic monitoring is essential for guiding appropriate treatment by assessing cardiac output and volume status, as well as for preventing complications associated with excessive fluid administration. The EdgeFlow CW10 Plus is a device that extends conventional hemodynamic monitoring by incorporating pulmonary abnormality surveillance through B-line detection. This study aimed to evaluate whether the hemodynamic monitoring and pulmonary monitoring functions are well integrated, and verify the usability and efficiency of the system. Methods: A usability test was conducted with a panel of 15 medical professionals from diverse specialties and varying levels of clinical experience. Data from satisfaction surveys, heat maps, the System Usability Scale (SUS), and the NASA-TLX were analyzed to determine whether usability differences existed based on the duration of clinical experience. Results: The device demonstrated a high overall task success rate, averaging 93.2%. Regarding eye-tracking analysis based on clinical experience, it was observed that participants with more years of experience either failed to direct their gaze toward task-relevant user interface (UI) elements as effectively as those with fewer years of experience or showed similar patterns. Conclusions: The usability evaluation confirmed that the hemodynamic and pulmonary monitoring functions of the EdgeFlow CW 10 PLUS are well integrated, with the device demonstrating high usability and satisfaction. This integration is expected to support medical professionals in monitoring cardiac output and fluid status, facilitating timely therapeutic interventions while preventing complications related to fluid overload. Full article

Background/Objectives: Assistive technologies are commonly used as a compensatory strategy for individuals with neurological conditions. However, several negative factors have been associated with their use, leading to their non-use or interruption. Therefore, the aim of the present study was to examine the potential of the Assistive Technology Device Predisposition Assessment (ATD-PA) as an outcome measure to identify psychosocial and user-perceived factors associated with the non-use or interruption of assistive technology, particularly mobility devices. Methods: A descriptive, cross-sectional and non-experimental design was employed, as no variables were manipulated. The sample was selected using non-probability convenience sampling and consisted of 80 participants, of which 14 participants discontinued or interrupted the use of assistive technology. An ad hoc sociodemographic questionnaire was administered, along with the Assistive Technology Device Predisposition Assessment, based on the Matching Person and Technology (MPT) model. Results: Factors related to non-use or interruption appeared to be associated with higher perceived levels of global health, self-care, and physical well-being. Findings from the ATD-PA, used as an indicator of subjective satisfaction, showed strong associations between the perceived level of loss and the need for assistive technologies in domains such as comfort, self-care, and general health (r = 0.72–0.90). The perceived benefit of the device was closely linked to knowledge of its use, safety, fit with personal habits, and perceived capability and stamina (r = 0.69–0.94). Comfort using the device was mainly reported in familiar environments such as with family and friends. In contrast, comfort in broader community contexts did not demonstrate meaningful associations. Conclusions: Findings are consistent with Lauer’s model of non-use and highlight the importance of psychosocial determinants such as perceived health, safety, support, and contextual comfort in understanding the interruption or non-use of assistive technology, in line with the International Classification of Functioning, Disability and Health framework. The ATD-PA shows potential as an outcome-oriented tool to support follow-up and the early identification of risk factors for non-use. Longitudinal studies are needed to better understand usage patterns over time. In Spain, the lack of standardized outcome evaluation protocols and systematic follow-up processes underscore the need for structured monitoring strategies in assistive technology provision. Full article

The emergence of social media platforms as commercial environments has necessitated the reconceptualization of service quality frameworks in electronic commerce research. This investigation analyzes and empirically validates social media quality as a multidimensional construct encompassing clarity, attractiveness, interactivity, and relevance dimensions. Grounded in means-end chain theory and uses and gratifications theory, we propose and test a comprehensive nomological network examining customer service and privacy as antecedents and their consequent effects on brand image, electronic word-of-mouth, repurchase intention, and customer satisfaction within Instagram commerce ecosystems. Using structural equation modeling with 258 Chilean Instagram commerce users, we find empirical support for all hypothesized relationships. Results reveal that both customer service and privacy are significant determinants of social media quality perceptions, with privacy demonstrating a substantially stronger effect. Social media quality, in turn, demonstrates considerable predictive power for brand image, customer satisfaction, electronic word of mouth, and repurchase intention. Importantly, customer satisfaction functions as a critical mediating mechanism, translating quality perceptions into behavioral outcomes. This research extends existing service quality literature by delineating a theoretically grounded framework for assessing quality perceptions in social commerce contexts and offering strategic guidance for optimizing social media commerce initiatives. Full article

As robotaxis transition from technological validation to commercial operation, converting first-time tryers into long-term users becomes pivotal for achieving sustainable development. Existing research mainly examines factors affecting initial adoption intention for robotaxis from a net-effect perspective, yet little is known about the factors affecting continuance intention and their nonlinear causal mechanisms. This study integrates the Expectation–Confirmation Model (ECM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to construct a systematic analytical framework and employs fuzzy-set Qualitative Comparative Analysis (fsQCA) for configurational analysis. Using survey data from 327 users in China with actual robotaxi experiences, the findings unveil four factor configurations driving high continuance intention and two causing non-high continuance intention. Regarding the interplay of factors driving high continuance intention, post-usage usefulness, satisfaction, and perceived safety constitute a complementary mechanism, whereas expectation confirmation and personal innovativeness form a substitutive mechanism that depends on the specific patterns of factor configurations. This study contributes to the robotaxi adoption literature by extending the research context to the post-adoption phase, developing a tailored theoretical framework, and applying a configurational approach rooted in complex systems analysis paradigms. The findings offer implications for governments to formulate synergistic policy mixes and for robotaxi companies to design user retention strategies. Full article

The rapid growth of digital tourism platforms has intensified information overload and decision complexity for both locals and travelers, while operators struggle to differentiate their offerings and sustain profitable, data-driven e-commerce models. This paper presents Doroob, a big data and artificial intelligence (AI)-driven, context-aware recommendation system that integrates traditional recommender techniques with real-time facial emotion recognition (FER) to enable intelligent tourism commerce. Doroob combines three AI-based recommendation strategies: smart adaptive recommendation (SAR) collaborative filtering, a Vowpal Wabbit-based context-aware model, and a LightFM hybrid model. It trained on datasets built from the Google Places API and enriched with ratings adapted from MovieLens. FER, implemented with DeepFace and OpenCV, analyzes short video segments as users browse destination details, converts emotion scores into 1–5 satisfaction ratings, and stores this implicit feedback alongside explicit ratings to support adaptive, emotion-aware personalization. Experimental results show that the context-aware model achieves the strongest top-K ranking performance, the hybrid LightFM model yields the highest AUC of 0.95, and the SAR model provides the most accurate rating predictions, demonstrating that combining contextual modeling and FER-based implicit feedback can enhance personalization, mitigate cold-start, and support data-driven promotion of local tourist services in intelligent e-commerce ecosystems. Full article

This study explores the impact of implementing a mandatory e-government reform within Indonesia’s national ISBN service (Regulation No. 5/2022). It examines the effects of this policy shift on public service quality and the resulting administrative burden placed on stakeholders, specifically publishers. The study employs an explanatory sequential mixed-methods design (QUAN → qual). The first phase analyzes longitudinal quantitative data from annual Public Satisfaction Surveys (2021–2024). The subsequent qualitative phase analyzes thousands of archival records, including complaint logs and policy memos, to contextually explain the quantitative findings. The results indicate that the reform induced a severe digital shock, causing the Public Satisfaction Index (IKM) to plummet from Good in 2021 to Poor (75.03) in 2022. The most significant declines were observed in the Procedures (2.79/4) and Service Time (2.30/4) indicators. Qualitative analysis reveals that this collapse was driven by specific policy-induced frictions: the mandatory implementation of a Single Account system and the intentional tightening of governance and validation parameters. While limited in statistical generalizability due to its single-case archival design, this study clearly demonstrates that public managers must recognize the inherent trade-off between tightening institutional governance (control) and maintaining public service quality (satisfaction). Proactive friction management and user-centric change management are essential to mitigating such digital shocks. Ultimately, this study offers a unique longitudinal analysis that forensically links quantitative satisfaction metrics with qualitative policy frictions. Full article

In home-based elderly care, nursing beds play a crucial role in the daily lives of older adults. However, most existing nursing beds are designed for general patients, neglecting the specific needs of people with disabilities and their caregivers. To enhance user satisfaction with nursing beds, this study proposes a conceptual design approach based on a KANO-AHP integrated model based on behavioral design. First, the needs of caregivers and people with disabilities are identified through behavioral observations and in-depth interviews. The Fogg Behavior Model is then applied to translate these behavioral insights into extractable design elements, which are subsequently classified and prioritized systematically using the Kano model. Subsequently, the Analytic Hierarchy Process is employed to screen the most critical needs from the extracted ones and transform them into key design elements, thereby defining the structural components of the product. This integrated approach enables an accurate mapping from user requirements to design elements, thereby facilitating the development of nursing beds for people with disabilities. This study demonstrates the feasibility and effectiveness of the KANO-AHP model in design research for the aging population, offering valuable guidance and an innovative perspective for nursing bed design. Full article

Background: Eye-tracking (ET) devices are gaining attention in technology-based paediatric rehabilitation through their intrinsic ability to assess patients’ engagement and visual attention within motivating, technology-based environments. We conducted a systematic review of available evidence from 2004 to 2025 on the implementation of ET in rehabilitative trainings targeting paediatric populations with neurological and neurodevelopmental disorders. This paper aims to outline the rehabilitative outcomes pursued in the clinical populations considered. Methods: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Three electronic databases (PubMed, Web of Science, and Scopus) were consulted to summarise the state of the art of the last 20 years. Selected articles were categorised according to the type of treated disorder and the rehabilitated function. Results: ET devices have been increasingly integrated into paediatric rehabilitation with promising results across multiple neurodevelopmental conditions (e.g., ASD, ADHD, cerebral palsy). These systems have proven effective not only in training gaze control, but also in enhancing executive functions, social cognition, communication, and participation. Furthermore, they promote personalised and data-driven solutions and support high levels of engagement, feasibility, and user satisfaction. Conclusions: ET represents a promising frontier for paediatric rehabilitation, addressing various neurodevelopmental disorders. The gaze-contingent protocols employed have demonstrated potential effects in promoting adaptive behaviour across multiple developmental areas. Further research is warranted to provide shared guidance and to strengthen practice recommendations. Full article

Public bus systems are vital to achieving sustainable urban mobility in developing countries; yet, the quality of bus stops, a critical interface between users and transit services, remains widely overlooked. This study evaluates bus stop quality in Sulaymaniyah, Iraq, from bus users’ perspectives by integrating importance–performance analysis (IPA) and the customer satisfaction index (CSI) with level of conformity analysis (CR) using extensive, real-world survey data. The objective was to identify priority areas to help improve the quality of public bus stop provision in the city and ensure the most efficient allocation of resources by focusing on the quality attributes that matter most to bus users. The results highlight six critical service quality attributes that require immediate improvement due to their high importance to users and low service quality performance: (i) safety barriers to prevent traffic accidents while waiting at bus stops; (ii) accessibility of bus stops for elderly and disabled users; (iii) availability of signage and timetables/maps; (iv) overall bus stop quality; (v) narrow bus stop platforms; and (vi) waiting time at bus stops. Addressing these gaps is essential to enhance user satisfaction and ensure that users have a safer, more inclusive, and reliable PT experience. This study offers evidence-based recommendations to enhance bus stop design and service quality, thus contributing to improved user satisfaction and increased ridership. More broadly, the results can be applied to other rapidly urbanizing developing cities seeking to provide equitable, safe, and user-centered bus transit systems. Full article

Urban parks are key components of metropolitan green infrastructure, contributing to residents’ well-being. However, perceptions of disorder and safety may substantially shape how these spaces are experienced, particularly during evening hours. This study investigates the structural relationships between perceived disorder, fear of crime, avoidance behaviors, perceived safety, and service satisfaction. The primary objective is to disentangle the pathways linking disorder perceptions to behavioral and perceptual outcomes using a Structural Equation Modeling (SEM) framework. A structured survey was administered to users of a large metropolitan urban park (N = 742). Latent constructs representing Perceived Disorder, Fear of Crime, Avoidance Behaviors, and Service Satisfaction were specified, controlling for Age and Gender. The SEM was estimated using robust methods for ordinal indicators. The measurement model demonstrated good reliability and validity. Results indicate that Perceived Disorder acts as a strong precursor to Fear of Crime. Fear of Crime emerged as a pivotal mediator, significantly increasing Avoidance Behaviors and strongly reducing Perceived Safety at night. Furthermore, significant demographic effects were observed: female users reported significantly higher levels of fear, while age showed a direct positive association with perceived safety. While disorder strongly impacted the emotional and behavioral dimensions (fear and avoidance), its direct link to Service Satisfaction was less prominent compared to safety perceptions. The findings suggest that the impact of disorder on the park experience is largely channeled through psychological mechanisms of fear. Integrated policies addressing social disorder and fear reduction are likely to be more effective than purely physical interventions to enhance safety perceptions and park usage. Full article

Urban blue-green spaces (UBGS) are crucial nature-based solutions for enhancing urban resilience and improving public health. This study examined the experiential relationships linking BGS use to human well-being among users of five urban parks in Delhi, India. Using an integrated experience-centered framework, we collected in-situ survey data (n = 411) to profile usage patterns, assess environmental quality, and quantify restorative outcomes grounded in Attention Restoration Theory (ART) and Stress Reduction Theory (SRT). Advanced analytical techniques, including ordinal logistic regression and interpretable machine learning (SHAP), were used to identify the key factors associated with user satisfaction. The results revealed that for these respondents, BGS appeared to function as an essential neighbourhood, with over 40% visiting three or more times per week. Although visual attractiveness was rated positively, deficits in noise buffering and amenities indicated a gap between aesthetic and functional qualities. Restorative benefits, including emotional calmness, mood refreshment, and fatigue recovery, were consistently reported among respondents. Analyses showed that embodied experiences, particularly post-visit relaxation and physical comfort, were more strongly associated with user satisfaction. SHAP interpretation highlighted seating adequacy, routine use, and thermal comfort as prominent contributors, suggesting somatic relief may be particularly salient. This study provides exploratory evidence from a Global South megacity and context-sensitive insights into how restorative processes operate under high-density urban conditions. The findings show that routine accessibility, basic amenities, and thermal comfort are central to the everyday functioning of blue-green spaces as urban infrastructure, underscoring the need for experience-responsive and equity-oriented urban greening policies in high-density cities. Full article

Background/Objectives: The incidence of cardiac arrest among critically ill patients has been increasing, with many patients experiencing clinical exacerbation prior to the event. Early detection and rapid treatment are essential to reduce the risks associated with cardiac arrest; however, difficulties such as limited ICU resources and inadequate monitoring of vital signs reduce the effectiveness of treatment. Various cardiac arrest prediction systems have been developed to overcome these issues. This study performed a summative evaluation of a Central Monitoring System with AI-based Cardiac Arrest Prediction. Methods: A summative usability evaluation was conducted in a simulated ICU environment with 22 ICU nurses experienced in using patient monitoring devices. Participants completed tasks based on the device workflow and then filled out the System Usability Scale (SUS) and satisfaction surveys, with task performance and survey responses analyzed to assess usability. Results: The usability test achieved a task success rate of 90%, with critical tasks achieving success rates ranging from 73% to 100%. The SUS score was 67.3 (“OK”), and the satisfaction survey showed an average score of 4.5, indicating generally positive user perception. Conclusions: Participants generally rated the system as acceptable, although some tasks showed lower success rates due to design issues such as poor button visibility. Further studies in clinical settings are needed to evaluate the system’s effectiveness, user experience, and contribution to the timely detection of cardiac arrest. Full article

Three-dimensional (3D) scanning and printing technologies enable the production of personalized rehabilitation splints, yet challenges such as scanning artifacts in complex anatomical areas (e.g., finger webs), lengthy post-processing, long printing times, and material limitations (e.g., brittleness and poor breathability) hinder routine clinical adoption. This feasibility study developed and evaluated a clinician-accessible protocol for fabricating cock-up wrist splints using 3D scanning (Creaform GO!SCAN 50 with VXelements 4.1), modeling (Materialise Magics), and fused deposition modeling printing with polylactic acid (PLA) on a MakerBot Replicator+. Five healthy participants wore the splints for one week, with user satisfaction assessed via the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0; average total score 4.14/5, range 3.75–4.42) questionnaire. An experienced occupational therapist provided expert feedback. High satisfaction was reported for weight (4.6/5) and ease of use (4.6/5), confirming advantages over traditional thermoplastic splints in lightness and esthetics. However, lower scores for durability (3.6/5), comfort (3.6/5), and effectiveness (3.6/5) stemmed from PLA brittleness (cracking under load or overtightening), rough surfaces despite vapor polishing, inadequate ventilation causing moisture buildup, and fit issues (e.g., pressure points). Printing time averaged 9–19 h per splint. The protocol demonstrates proof-of-concept feasibility for clinicians with basic computer techniques, but material constraints and process refinements are required for reliable application in patient populations. Full article