Feasibility of a Co-designed Intervention to Promote Parental Empowerment for Children with Developmental Disabilities.

Using Human Centered Design to Evaluate the Implementation of a National Trauma Informed Care Curriculum Pilot at an Urban, Level 1 Trauma Center.

Green building research is shifting from a sole focus on physical performance to a human-centered, collaborative approach that integrates environmental sustainability with user well-being. However, a critical gap remains in understanding how built environments influence physiological, emotional, and cognitive processes. This review examines the integration of neuroscientific tools - including electroencephalography (EEG), functional magnetic resonance imaging (fMRI), event-related potentials (ERPs), eye-tracking (ET), and functional near-infrared spectroscopy (fNIRS) - into green building research. These technologies enable objective and fine-grained measurement of human responses to architectural spaces. We demonstrate how multimodal neurotechnologies facilitate real-time detection of human–environment interactions, supporting dynamic spatial optimization, health-oriented performance enhancement, and the subconscious reinforcement of sustainable behaviors. Beyond synthesizing empirical evidence, we propose an AI-augmented collaborative design framework that connects neural data with environmental parameters, bridging aesthetic, scientific, technical, and ethical rationalities. This framework provides a transformative pathway towards carbon neutrality while enhancing cognitive and emotional well-being, positioning neuroscience as a cornerstone of next generation green building research. • Integrates neuroscience (EEG, fMRI, ET, fNIRS) into green building to objectively measure user responses. • Proposes a collaborative design model bridging aesthetics, science, tech, and ethics for synergy. • Uses multimodal neural-environmental-behavioral data fusion for precise human-building interaction. • Shifts green building paradigm from human adaptation towards neuro-adaptive environments empowering users. • Uses neuro-responsive design to subconsciously drive sustainable behaviors and carbon goals.

Fostering well-being in Industry 5.0 through managerial behaviours and enabling technologies

Animal-based experimental models in dry eye research: Current approaches and limitations.

The circular economy (CE) has moved to the center of sustainability-driven innovation, with agriculture playing a pivotal role due to its large biomass flows and potential for resource optimization. This study investigates how CE practices relate to sustainable innovation, specifically highlighting value creation for “ergo-iconic” agricultural products—goods that uniquely combine ergonomic functionality (usability, durability, and human-centered design) with culturally embedded, sustainability-oriented identity attributes (place-based branding, heritage value, and symbolic meaning). Employing a qualitative exploratory design in Banten, Indonesia, we conducted semi-structured interviews with ten key informants comprising five agro-industry practitioners, three industry analysts, and two NGO representatives. We complemented this primary data with rigorous document analysis to ensure a holistic understanding of the context. Thematic analysis and triangulation were employed to establish the credibility of the findings. The results indicate that circular business models not only reduce waste but also serve as catalysts for broader innovation processes. Three primary drivers consistently emerged: (1) stakeholder engagement, (2) cross-sector collaboration, and (3) the adoption of environmentally friendly technologies. Building on these insights, we propose the CircAgriResilient Nexus (CAR-Nexus)—a comprehensive framework that conceptualizes circularity as a dynamic nexus connecting four pillars: Circularity, Agri-Innovation, Resilience, and Nexus Governance. CAR-Nexus differs from existing sustainable circular bioeconomy models by explicitly positioning resilience as a core system capability and by integrating a provisional Resilience Index Score (RIS)—a conceptual tool that synthesizes resource efficiency, social progress, and economic robustness to guide balanced assessment of circular transitions. This framework clarifies how circular resource flows, eco-innovation, and inclusive governance jointly enhance market, environmental, and social value within the Industry 4.0 era. The study contributes theoretically by articulating an integrative CE-innovation-resilience nexus tailored specifically to agri-food systems, and practically by outlining actionable levers for firms and policymakers to accelerate circular transitions in developing economies.

This paper presents InterviewEase, an artificial intelligence-powered automated interview platform designed to address critical challenges in modern recruitment processes. Traditional hiring methodologies, which rely heavily on human interviewers, suffer from significant inefficiencies including subjective bias, scalability limitations, inconsistent evaluation metrics, and high operational costs. InterviewEase introduces a novel multimodal AI framework that orchestrates the complete interview lifecycle—from intelligent resume parsing and dynamic question generation to comprehensive multimodal response evaluation. The system integrates large language models (LLMs), neural speech processing, computer vision, and machine learning algorithms to deliver standardized, scalable, and objective candidate assessments. Experimental evaluation involving 50+ simulated interviews demonstrates 89.7% accuracy correlation with human expert evaluations, 67.3% reduction in recruitment cycle time, and 94.2% elimination of unconscious bias in preliminary screening. The platform establishes a new benchmark in recruitment technology by balancing algorithmic sophistication with human-centric design principles while addressing critical ethical considerations in AI-powered hiring systems. Index Terms—Artificial Intelligence, Recruitment Technology, Automated Interviewing, Bias Mitigation, Multimodal AI, Natural Language Processing, Machine Learning, Fairness in AI

Advanced drug delivery systems (ADDS) have revolutionized modern pharmaceutics with controlled release, targeted release, implantable systems and digitally networked technologies. In spite of these developments, therapeutic efficacy in practice is severely reliant on patient adherence. Psychological factors, such as cognitive appraisal of the need to seek treatment, emotional barriers, such as anxiety and fatigue in treatment, social reinforcement, and culturally based beliefs, play a great role in initiating, implementing, and, maintaining treatment. While ADDS can reduce behavioral burden by minimizing dosing frequency and enhancing pharmacokinetic stability, they may also introduce distinct barriers, including perceived invasiveness, reduced reversibility, technology anxiety, and data privacy concerns in connected systems. Technological determinants such as human-centered design, adaptive automation, artificial intelligence–driven personalization, and biomaterial biocompatibility can either mitigate or amplify these behavioral influences. Compliance functions as the critical mediator between engineered drug delivery performance and measurable outcomes, stabilizing pharmacokinetic–pharmacodynamic relationships, preserving targeting efficiency, improving patient-reported outcomes, and reducing healthcare utilization. Integrating behavioral science with pharmaceutical innovation is therefore essential to ensure that advanced delivery technologies achieve sustained clinical impact. Aligning technological sophistication with psychological acceptability represents a central requirement for translating precision drug delivery into durable, patient-centered therapeutic success.

Food Is Medicine (FIM) programs integrate interventions such as medically tailored meals or produce prescriptions into clinical care. However, there is limited evidence on how to design these programs to be responsive to the lived experiences of participants to optimize initiation, engagement, and long-term retention. The objective of the study was to develop interventions to promote initiation, engagement, and retention in FIM programs that are responsive to the lived experiences of participants. We used a human-centered design approach to engage current and former cardiac rehabilitation participants in the development of interventions to promote participation and engagement in a FIM program. We recruited participants through invitations sent via electronic health record messages. We interviewed participants about their experiences, preferences, and unmet needs related to healthy eating and program design. Additionally, we elicited participant feedback on draft versions of patient navigator scripts and text messages promoting healthy eating habits. A total of six participants identified themes across Theory of Planned Behavior constructs and emergent themes, including the cost of healthy food, cultural appropriateness, clear and timely communication, transportation, local food access, scheduling flexibility, the ability to provide feedback to the program, and personalized support for navigating food resources. Participants described financial strain as a key barrier to healthy eating and noted that social influence often shaped eating behaviors. Feedback on navigator scripts led to revisions clarifying program logistics, addressing barriers such as language and cultural dietary restrictions, and tailoring positive endorsements to individual health goals. Based on participant feedback, text messages were made more concise, reframed positively (eg, humor and gratitude), and encouraged to be warmer, with respectful language that is easy to understand, while avoiding stigmatizing or overly clinical phrasing. Participants also suggested that messages should reflect empathy and offer actionable information to increase trust and engagement with the program. Trust in the health care system and a sense of dignity in receiving food support emerged as critical themes influencing overall satisfaction and retention. Participants emphasized that endorsement from their health care team and cardiologist was important for building trust in the program. Communication between health care navigators and FIM navigators could help reduce the burden placed on patients to navigate food resources. Using a human-centered design approach, we gained insights about participant-identified needs for navigation scripts and text messages that are culturally sensitive and personalized to promote optimal participation in a FIM program.

Cyber-Physical Systems (CPS), in which computation and physical processes converge, have found application in many domains and will only gain further importance. Faced with such developments, recent research emphasized the need to not lose sight of affected humans. Two important notions to that respect are human-centric and socio-technical CPS. Moving towards such a vision poses challenges concerning how CPS design should best be done. Therefore, we conducted a systematic review to identify and qualitatively evaluate CPS design support showing human-centric and/or socio-technical characteristics, focusing on its embedding into design processes. We first conceptualized the two terms, trying to account for conceptual ambiguity, and then characterized each identified work. We recognized the central role of interactions between human and machine components for both paradigms, with design activities targeting different levels of abstraction. Positive reports on active involvement of affected humans indicated future research potential. Investigated concepts and ideas relating to CPS architectures that enable design support showed the need to properly address inherent CPS complexity. We also found a need to focus validation activities on achieved outcomes for targeted design support user groups as well as people affected by the CPS.

High-quality professional development can help teachers build the skills and confidence needed to implement evidence-based practices, such as classroom physical activity breaks. While in-person training is often preferred, virtual asynchronous training offers a flexible alternative for teachers. However, its effectiveness may be limited by design and usability challenges. The aim of this study was to conduct a usability assessment of the Interrupting Prolonged Sitting with Activity (InPACT) virtual teacher training modules, using a human-centered design (HCD) approach to align the training with end-user preferences and needs. The InPACT professional development program includes nine modules delivered through an online platform (Qualtrics XM). A usability assessment was conducted using (1) structured online surveys with elementary school teachers who had completed the modules, (2) a heuristic evaluation based on the Jakob Nielsen 10 usability heuristics, and (3) a competitive analysis of three learning management systems (Moodle, Teachable, and Thinkific) to identify platform strengths, limitations, and insights. Findings and recommendations were compiled to inform module improvements. Eleven teachers completed the survey. They reported that the modules were easy to use, the content was informative and relevant, and they valued the interactive and practical components. Areas for improvement included enhancing content engagement and increasing technical flexibility. The heuristic evaluation identified 14 usability issues across nine of the Nielsen heuristics (eg, navigation difficulties and text-heavy pages). The competitive analysis highlighted features that enhance user experience, such as progress tracking, estimated completion times, interactive elements, and feedback on quiz answers. Usability assessments grounded in an HCD approach can enhance virtual training for educators, improving the uptake and implementation of evidence-based practices, such as classroom physical activity breaks. Five overarching recommendations emerged as follows: (1) removing video time constraints, (2) implementing accurate progress bars, (3) incorporating active learning or retention activities, (4) creating consistent and actionable end pages, and (5) ensuring consistency in titles and references to physical materials. Building on preliminary positive data from revised modules, future research should evaluate the impact of HCD revisions on teacher self-efficacy, training completion, and fidelity of program implementation.

Identification of appropriate patients for hospital-in-the-home (HITH) remains a significant challenge. We hypothesise that a human-centred design (HCD) approach can assist in developing a computerised clinical decision support system (CDSS) to address this issue via leveraging data within the electronic medical record (EMR). We describe the design, development, validation and implementation outcomes of the HITH Eligibility Identifier (HEI), a CDSS for identifying inpatients suitable for HITH in Melbourne, Australia. Approaches include: (a) describing digital algorithmic design and workflow development via the iterative HCD process; (b) validation of the HEI algorithm, interface and performance using Message Understanding Conference and Miettinen-Nurminen analyses; and (c) evaluation of system impact and outcomes post-implementation. The HEI CDSS integrates algorithmic decision support with clinician judgement through an interactive user interface embedded within the EMR. It ranks hospitalised patients from most to least likely eligible for HITH using administrative data, clinical information and markers of illness severity. Validation of HEI performance found that high-ranking patients were twice as likely to be eligible for HITH (improvement in eligibility probability of 46%; 95% confidence interval: 38%-54%). Post-implementation metrics show improvements in HITH utilisation, service delivery and efficiency. The HEI CDSS illustrates the importance of an HCD approach in ensuring local relevancy and clinical adoption of digital healthcare projects. Principles from its design and implementation can improve patient identification for HITH programs and be adapted for other CDSSsrelevant to hospitalised patient cohorts.

This article analyzes how artificial intelligence changes the strategic management of product value in multi-sided digital marketplaces. The relevance of the topic stems from the rapid diffusion of generative and analytical AI across business functions and from the growing need to redesign product work around data, governance, and cross-functional coordination. The purpose of the study is to clarify how AI shifts product management from execution-heavy routines toward higher-order decisions concerning system behavior, marketplace balance, and value capture. The article uses source analysis, comparative interpretation, conceptual synthesis, and analytical generalization. The materials combine recent studies on product management, platform economics, marketplace value co-creation, human-centered AI design, responsible AI governance, and large-scale reports on enterprise AI adoption. The analytical section shows that AI compresses drafting, coordination, and first-pass analysis, while expanding the strategic significance of instrumentation, boundary-resource design, exception handling, governance, and ecosystem alignment. The findings apply to product teams operating in platform businesses that must coordinate buyers, sellers, data, models, and institutional constraints within one evolving decision system.

Purpose This paper introduces the concept of holdership as a psychoanalytically informed explanatory framework that reconceptualises leadership not as an individual role, behavior, or style, but as a distributed organisational holding function. Drawing on D. W. Winnicott's notion of the holding environment, the study explicates how organizations design and sustain relational, structural, and emotional conditions that regulate anxiety, support developmental progression, and enable innovation and organisational resilience under conditions of uncertainty. Design/methodology/approach The study adopts an integrative conceptual review approach explicitly oriented toward theory development rather than empirical aggregation or hypothesis testing. It synthesizes Winnicott's psychoanalytic concepts with contemporary leadership, organisational behavior, and organisational psychodynamics literatures. Through structured comparative analysis of established leadership perspectives and a theory-driven synthesis, the paper develops a multi-level conceptual model of holdership, articulates its developmental logic, and derives organisational design implications. Illustrative organisational examples are employed to support interpretive clarity rather than empirical validation. Findings The analysis advances holdership as a distributed, relational, and system-level holding function through which organizations enable the developmental movement from dependence to mature autonomy. By sustaining holding environments characterized by emotional containment, psychological safety, authenticity, and shared responsibility, organizations foster conditions conducive to learning, creativity, and innovation in complex and uncertain contexts. Innovation and resilience are thus conceptualized as emergent developmental outcomes rather than as leader-driven interventions or static capabilities. Practical implications The framework offers diagnostic and design-oriented guidance for leaders, executives, and HR professionals seeking to cultivate effective holding environments. Rather than prescribing idealized leader behaviors, it highlights organisational practices and arrangements, including empathy, emotional containment, shared decision-making, and developmental support, that enhance engagement, reduce turnover, and sustain resilient and innovative organisational cultures over time. Social implications By foregrounding emotionally attuned, inclusive, and non-heroic modes of organizing, the study contributes to debates on ethical leadership, sustainable use of power, and human-centered organisational design. Holdership supports healthier workplaces and strengthens collective capacity to respond creatively and responsibly to social, environmental, and institutional challenges in contemporary societies. Originality/value This study contributes to organisation and leadership theory by extending existing post-heroic and distributed leadership scholarship through a systemic and psychodynamic account of organising under uncertainty. By conceptualising leadership as an embedded organisational holding function, the paper introduces previously under-theorized mechanisms of anxiety regulation, emotional containment, and developmental support, offering a novel theoretical lens and a coherent set of actionable design principles for resilient, innovative, and humanly sustainable organizing.

The widespread use of innovative pedagogies at all educational levels, from early childhood to higher education, has signaled a significant change in educational practice in the twenty-first century. Emerging pedagogical strategies such as gamification, play-based learning, flipped classrooms, blended and hybrid models, and AI-driven adaptive systems are all thoroughly analyzed in this review. The reviewed literature also reveals enduring structural challenges, including gaps in teacher preparation, digital inequities, curriculum misalignment, exclusion of marginalized learners, and ethical concerns regarding student data, even though these approaches have raised opportunities for personalized learning, learner engagement, and skill development. This review incorporates details about health-related consequences that are frequently only briefly discussed in pedagogical research, in addition to instructional results. Screen fatigue, cognitive overload in younger pupils, psychological anguish, digital burnout, and social isolation are among the reported results the effect both students and teachers. The review shows that the health effects of innovative pedagogies differ significantly by educational level and instructional design by combining evidence from various foreign contexts and developmental stages. The paper stresses how important it is to match technology advancement with human-centered teaching methods and design concepts that prioritize health. In order to promote fair, sustainable, and health-promoting learning environments across the educational lifecycle, it ends with specific suggestions for educators, educational technology developers, legislators, and medical professionals.

Purpose As digital interactions increasingly replace traditional face-to-face exchanges, the ability to embed empathy into technological systems has become a critical frontier. This study aims to examine the growing role of artificial empathy (AE) in human–AI interactions, focusing on its transformative impact within the marketing domain, where empathy-driven technologies are increasingly vital for fostering long-term consumer relationships. Design/methodology/approach This study uses a systematic literature review of AE research published over the past two decades. Relevant articles were identified through structured keyword searches in selected academic databases, applying predefined inclusion and exclusion criteria (e.g. peer-reviewed journal articles, relevance to marketing and consumer behavior and English language publications). The final sample (n = 85) was analyzed using bibliometric mapping and qualitative content analysis to trace the conceptual development of AE, identify its key antecedents and consequences and propose future research trajectories. Findings The analysis reveals five dominant research streams: emotion recognition technologies, AI-driven emotional engagement, AE in marketing analytics, sentiment analysis in social media and emotion detection in wearable and immersive environments. Antecedents of AE include technological infrastructure, consumer emotional dynamics, human-centered design and relational marketing practices. AE is linked to both positive outcomes, such as increased trust, personalization and customer experience, and critical challenges. Research limitations/implications While this review synthesizes key trends and gaps in the literature, future empirical studies are needed to validate proposed frameworks and assess the real-world implications of AE adoption across diverse marketing contexts. Originality/value This study develops a theoretical framework of the antecedents and consequences of AE in marketing while providing a comprehensive and integrative overview of the field. It further identifies four emerging research frontiers that offer a strategic foundation for advancing theory and designing emotionally intelligent marketing systems.

Background: The rapid digitization of healthcare has transformed the Emergency Department (ED) into a complex socio-technical system. While Digital Workflow Systems (DWS), including Electronic Health Records (EHR) and Clinical Decision Support Systems (CDSS), aim to optimize operational metrics, their impact on the cognitive ecosystem of healthcare professionals is often overlooked. This article conducts a socio-technical analysis of the dichotomy between IT-driven efficiency and staff well-being. Methods: Employing a hybrid systematic–narrative review approach underpinned by the SEIPS 2.0 framework, this study synthesizes literature published between 2018 and 2025. The analysis focuses on identifying how poorly designed interfaces contribute to systemic failures within the ED work system. Results: The findings reveal that interface design flaws significantly contribute to "technostress," cognitive overload, and moral injury among staff. The review identifies a "productivity paradox" where digital tools, intended to assist clinical workflows, instead become primary sources of professional burnout. Conclusion: To address these challenges, the paper proposes a framework for resilient, human-centric design. It emphasizes the critical need for integrating cognitive ergonomics and explainable AI into future ED information systems to ensure both patient safety and operator well-being.

This paper presents a bibliometric analysis of published research on Extended Reality (XR), encompassing Virtual Reality, Augmented Reality, and Mixed Reality, in the field of urban heritage preservation. The study maps research trends, key contributors, geographical distribution, thematic clusters, and collaboration patterns within this emerging interdisciplinary domain. The findings indicate substantial growth in XR related heritage studies between 2020 and 2024, reflecting increasing scholarly attention to immersive technologies in conservation, interpretation, and public engagement. The analysis further shows that research output is dominated by a limited number of countries and authors, while Malaysia remains an emerging contributor. Thematic clustering reveals that current scholarship extends beyond technological experimentation to include educational applications, human centered design, and heritage interpretation. These findings suggest strong potential for XR to support urban heritage safeguarding in Malaysia through context sensitive innovation, strategic collaboration, and improved institutional support. The study contributes a structured overview of the field and offers practical insights for policymakers, researchers, and heritage practitioners seeking to strengthen digitally enabled preservation strategies.

Abstract: Artificial Intelligence (AI) is increasingly influencing both technological progress and societal development, acting as a key driver of innovation across multiple domains. This paper examines how AI contributes to improved efficiency, intelligent decision-making, and advanced human–machine collaboration. Technologies such as machine learning, natural language processing, and computer vision are enabling new possibilities in sectors like healthcare, education, finance, and transportation. The study examines both the opportunities and challenges associated with widespread AI adoption. On one hand, AI offers significant benefits such as improved decision-making, automation of complex tasks, and the creation of new economic value. On the other hand, it raises critical concerns related to ethics, data privacy, job displacement, and algorithmic bias. The paper also highlights the importance of responsible AI development, emphasising the need for regulatory frameworks, transparency, and human-centred design. Ultimately, this research underscores that while AI has the potential to revolutionise the future of technology and society, its impact will depend on how effectively stakeholders balance innovation with ethical considerations. The findings contribute to a deeper understanding of AI’s transformative power and provide insights for policymakers, researchers, and industry leaders navigating this rapidly evolving domain.

With the advent of the Fourth Industrial Revolution and the rise of new forms of productive forces, the ways humans interact with space, objects, and information are being profoundly reshaped, bringing unprecedented possibilities for upgrading interactive spaces—human settlements that integrate physical and digital environments. Against this background, using the literature on interactive space research from the Web of Science (WoS) Core Collection between 1990 and 2025 as the data source, this study employs CiteSpace software to generate scientific knowledge maps, analyzing the historic development, hotspots, and trends in the research of interactive space, providing both theoretical and data support. In terms of results, a total of 458 papers were collected, demonstrating a consistent year-on-year increase. The research spans multiple fields, including computer science, architecture, ecology, physics, design, and behavioristics. Specifically, results indicate that research hotspots in interactive spaces include collaborative governance, social coexistence, and sustainable renewal, all of which are highly relevant to activating human settlements. The vitality of interactive spaces can be constructed across multiple dimensions, (for instance, enhancement based on ecology, environment, culture, and other factors of the space). However, research on interactive spaces still suffers from a lack of interdisciplinary collaboration and multi-domain integration; therefore, it is essential to strengthen cooperation among relevant fields. Current research lacks interdisciplinary integration and dynamic response mechanisms. Based on these findings, this study, through visual analysis, reveals the research hotspots and evolutionary trajectory of interactive spaces and proposes a “technology–humanism–governance” trinity framework. This system should be based on technology as the means, humanism as the guiding principle, and effective governance as the goal. It aims to explore how to leverage the service-oriented and convenient nature of technology in interactive spaces to deepen human-centric design and thereby drive the optimization of systems. Based on these findings, future research on interactive spaces should shift its design philosophy to be more human-centric, establish a multidisciplinary research system, utilize local empirical cases, and develop scalable, applicable theories to construct harmonious, open spaces, enhance human–environment relationships, and provide other countries undergoing urbanization with practical solutions.