Search Results (60)

McMahon Hall, an iconic Brutalist dormitory at the University of Washington, has become the site of an interdisciplinary experiment in cultural memory and machine-assisted storytelling. This article presents a method that combines remote sensing with AI-generated voices to produce a polyvocal narrative of architecture through the perspective of the building itself, its material (concrete), an architect, a journalist, and a bird. Drone photogrammetry and generated 3D models were combined with generative AI (text, image, and voice) to reconstruct the site digitally and imaginatively (AI-driven speculative narratives). Through speculative storytelling, the article and the project explore how cultural memory and perception of built heritage can be augmented by machines, offering plural perspectives that challenge singular historical narratives. The Introduction situates the work at the intersection of digital heritage documentation, AI storytelling, epistemology in machine learning, and spatial computing, emphasizing the perception of heritage through different actors. The Theoretical Framework draws on literature in photogrammetry for heritage preservation, polyvocal narrative, and knowledge frameworks of AI. The Materials and Methods detail the workflow: capturing McMahon Hall via UAV photogrammetry, producing a 3D model, and generating character-driven narratives with large language models and voice synthesis. The resulting multi-voiced narrative and its thematic insights are described. In the Discussion, the implications of this approach for architectural heritage interpretation are considered, including its capacity to amplify diverse voices and the risks of bias or hyperreality in AI-generated narratives. The study argues that this polyvocal, machine-augmented storytelling expands the toolkit of remote sensing and digital heritage by not only documenting the tangible form of the built environment but also speculating on its intangible cultural memory. The Conclusions reflect on how merging spatial computing techniques with AI narratives can support new modes of engagement with architecture, positioning this work as a building block toward richer human-machine co-created heritage experiences. Full article

This article traces the historical evolution of mural painting as a medium of cultural expression from prehistoric cave art to contemporary street interventions. Adopting a diachronic and interdisciplinary approach, it investigates how muralism has developed across civilizations in relation to techniques, symbolic systems, social function, and its embeddedness in architectural and urban contexts. The analysis is structured around key historical periods using emblematic case studies to examine the interplay between materiality, iconography, and socio-political meaning. From sacred enclosures and civic monuments to post-industrial walls and digital projections, murals reflect shifting cultural paradigms and spatial dynamics. This study emphasizes how mural painting, once integrated into sacred and imperial architecture, has become a tool for public participation, protests, and urban storytelling. Particular attention is paid to the evolving relationship between wall painting and the spaces it inhabits, highlighting the transition from permanence to ephemerality and from monumentality to immediacy. This article contributes to mural studies by offering a comprehensive framework for understanding the technical and symbolic transformations of the medium while proposing new directions for research in the context of digital urbanism and cultural memory. Full article

The quality of children’s early childhood education (ECE) experiences significantly impacts their long-term outcomes and wellbeing. While extensive research has explored quality from the perspectives of adult stakeholders, including educators and authorities, there remains a paucity of studies prioritizing the viewpoint of children, the main beneficiaries of ECE. This study sought to address this gap by investigating children’s preschool experiences at an Australian inner-city preschool center. Using child-friendly interview techniques, researchers engaged 32 children aged 3–4 years in discussions about their likes, dislikes, and desired changes in their preschool settings. Open-ended questions such as “What do you love about preschool?” and “What do you think makes a good preschool?” were used to encourage reflection and storytelling. To complement verbal responses, children were invited to illustrate their thoughts through drawings, offering a visual dimension to their perspectives. Deductive thematic analysis identified eight themes within the dimensions of structural and process quality. The findings highlight the unique and insightful ways young children interpret their experiences, shedding light on aspects of preschool life they value most. By amplifying children’s voices, this study highlights the importance of integrating their perspectives into the design and evaluation of ECE environments, promoting practices that better align with their needs and support their wellbeing. Full article

Immersive technologies (IMTs) have significantly impacted the tourism sector by offering experiences that enhance engagement with destinations. Although previous research confirms that IMT affects travelers’ behavioral intentions, there is a lack of studies specifically focusing on the post-experience context of agritourism and the factors contributing to technological resistance. This study introduces a conceptual model that combines the Diffusion of Innovation framework, the technology acceptance model, and the psychological factors related to innovation resistance to examine the decision-making processes of IMT users in the post-experience context of agritourism. The research model is evaluated through partial least squares structural equation modeling (PLS-SEM) techniques involving 400 users who engaged with IMT for a duration not exceeding 3 months. The findings indicate that the amount of storytelling content, which enhances engagement in agritourism, significantly affects users’ perceptions of IMT and their intentions to revisit and continue using IMT. Additionally, factors related to compatibility, along with privacy and security risks, influence the reluctance or readiness to adopt IMT and the decision to revisit a destination. These findings contribute to the understanding necessary to develop content and apply IMT in the agritourism sector to promote long-term sustainability. Full article

Background: Caregivers in urban settings often face unique challenges in providing nurturing care. This qualitative study explores the complex realities of caregiving among mothers and grandmothers in urban poor neighbourhoods of Bangalore, South India. Grounded in Bronfenbrenner’s ecological systems theory, this is the first study in urban India that examines how caregivers’ perceptions, along with individual and systemic factors, shape caregiving practices in this setting. Methods: In-depth interviews (IDIs) were conducted with 22 mothers and grandmothers of 4–6-year-old children from the urban MAASTHI cohort in Bangalore, South India. Topic guides were developed, pre-tested, and piloted. IDIs were conducted in local languages (Kannada and Hindi). Transcripts were coded using NVivo 12 plus and analyzed via a thematic analysis approach using Bronfenbrenner’s ecological systems framework to organize themes. Findings: At the microsystem level, caregivers engaged with children through storytelling and play, though competing demands like household chores often constrained these interactions. Disciplining techniques varied, and the absence of fathers placed additional burdens on mothers. The mesosystem revealed the critical role of extended family in providing support. At the exosystem level, unsafe neighbourhoods limited children’s opportunities for outdoor play. The macrosystem highlighted how religious values provided moral frameworks for parenting and the presence of stigma against single mothers. The chronosystem explored declining social support over time and challenges. Conclusions: These findings emphasize that caregiving inequities are not isolated but structurally embedded, demanding interventions that address sociocultural, economic, and spatial barriers to equitable support for caregivers, particularly those in disadvantaged settings. It calls for context-sensitive interventions, including community-based parenting programmes including maternal well-being, strengthening community and public support systems, improving safe play spaces, and longitudinal research. By amplifying marginalized caregivers’ voices, this research highlights the need for policies that support nurturing care in low-resource settings to break intergenerational cycles of disadvantage. Full article

This study aims to identify and evaluate the essential design features, strengths, and limitations of a virtual reality (VR) application that has been developed to train an international sales force effectively for a premium global wine brand. The study emphasizes the value of stakeholder-driven iterative development and systematic evaluations. A case study methodology was adopted for the research, focusing on a VR training application, developed for Marchesi Antinori. The Scrum framework was employed to facilitate iterative stakeholder collaboration. A qualitative evaluation was conducted using focus groups, comprising marketing, communications, and sales representatives. A systematic application of natural language processing (NLP) embedding techniques and recursive clustering analyses was undertaken to interpret stakeholder feedback. The findings suggest that stakeholder-driven, iterative processes can significantly enhance the effectiveness of VR applications by providing a clear structure for immersive storytelling that focuses on terroir characteristics, vineyard operations, and cellar practices. Stakeholders acknowledged the potent educational benefits of VR in regard to business-to-business (B2B) sales training. However, they also highlighted significant limitations, including user discomfort, concerns about authenticity, and variations in market receptivity. Alternative immersive technologies, including augmented reality and immersive multimedia environments, have emerged as valuable complementary approaches. This study addresses a significant gap in the literature by examining the application of VR technology for B2B sales training in the premium wine industry. The study integrates an iterative Scrum methodology with advanced natural language processing (NLP) analytical techniques to derive nuanced, context-rich insights. Full article

Rural agricultural markets face unique challenges, yet neuromarketing applications in this sector are understudied. This systematic review investigates how neuroscience has been applied to shape marketing narratives for rural agricultural producers. The objectives were to catalog relevant studies, identify key themes using inductive thematic synthesis, and derive practical implications for rural marketing strategy and future research. We systematically searched English-language, peer-reviewed studies published between 2016 and 2024 across multiple academic databases, following PRISMA guidelines. Two independent reviewers screened the records, resulting in the inclusion of 20 studies. Key data from each study were extracted and synthesized using an inductive thematic analysis approach. The synthesis revealed several recurrent findings. First, in terms of social and community context, farmers showed greater trust and engagement with familiar local buyers than with distant corporations, indicating that local relationships strongly influence producer behavior. Second, regarding product and narrative attributes, marketing narratives that emphasized local provenance, organic or sustainable production, and ethical values such as animal welfare and environmental sustainability resonated strongly with rural consumers. Third, sensory and emotional cues particularly visual elements and storytelling techniques including color, imagery, and packaging design consistently enhanced consumer attention and engagement. Overall, these neuroscience-informed themes suggest that marketing narratives emphasizing authenticity, trust-building, and community values can effectively strengthen rural agricultural marketing. This review provides neuroscience-informed interpretations of key rural marketing challenges, drawing on dual-process theory and consumer decision models for applying neuromarketing insights in this context. Practically, rural producers can leverage these findings by designing marketing messages and packaging that highlight local identity and ethical values, thereby building consumer trust and loyalty. The review also highlights gaps such as the need for more field-based neuromarketing studies and suggests directions for future research, offering guidance for both scholars and practitioners working at the intersection of neuroscience and rural consumer behavior. Full article

Stories are widely used by parents or educators to teach children the virtue of honesty. However, the existing empirical findings on the effect of story-telling on children’s honesty are limited and mixed. This study examined whether moral stories involving honesty can promote honesty in Chinese preschool children (N = 208). The Temptation Resistance Paradigm (TRP) was used to assess children’s honesty. Study 1 showed that children in the positive moral story condition were more likely to tell the truth than those in the control condition, while negative moral story-telling did not have this effect. Study 2 further examined whether combining external appeals with positive moral story-telling could further promote children’s honesty, and the results showed that the combination of the two techniques was equally as effective as moral story-telling alone. These findings have important implications for moral development and moral education. Full article

Traditional holographic printing techniques prove inadequate when only input data are available. Therefore, this paper proposes a new artificial-intelligence-based process for generating digital holographic stereograms from a single black-and-white photograph. This method eliminates the need for stereo cameras, photogrammetry, or 3D models. In this approach, a convolutional neural network and deep convolutional neural field model are used for image colorization and a depth-map estimation, respectively. Subsequently, the colored image and depth map are used to generate the multiview images required for creating holographic stereograms. This method efficiently preserves the visual characteristics of the original black-and-white images in the final digital holographic portraits. This provides a new and accessible method for holographic reconstruction using limited data, enabling the generation of 3D holographic content from existing images. Experiments were conducted using black-and-photographs of two historical figures, and highly realistic holograms were obtained successfully. This study has significant implications for cultural preservation, personal archiving, and the generation of life-like holographic images with minimal input data. By bridging the gap between historical photographic sources and modern holographic techniques, our approach opens up new possibilities for memory preservation and visual storytelling. Full article

Video-sharing platforms have significantly influenced social justice movements by creating unprecedented opportunities for mobilization and support. However, YouTube’s unique role and platform culture in facilitating social justice movements remain relatively understudied. This research addresses this gap by analyzing video content related to two prominent online social justice movements: #BLM and #StopAAPIHate. We conducted a comprehensive thematic analysis of a dataset comprising 489 videos obtained using the YouTube Data API. Thematic categories were developed to explore the identities of video creators, the type of information conveyed, storytelling techniques, and promotional features utilized. Our findings indicate that public figures, vloggers, and news reporters are the most frequent creators of videos supporting these movements. The primary purpose of these videos is to share movement-related knowledge and personal stories of discrimination. Most creators primarily promote their social media accounts and do not extensively utilize platform features such as live streaming, merchandise sales, donation requests, or sponsorships to actively support these social justice initiatives. Full article

Involving citizens in public decision making has become more and more important recently. However, activating citizens is challenging in urban planning, especially in post-socialist countries, such as Hungary, where civil activity is weak, and citizens’ attitudes are characterized by distrust towards decision-makers. The gamification of planning processes aims to address this issue and support a more democratic planning process. Gamification is the application of game-like elements (e.g., rewards, storytelling, feedback, competition, etc.) in non-game contexts, thus transforming them into more engaging and enjoyable activities. This study aims to present how gamification is used in the Hungarian urban planning processes and the obstacles to using gamified practices. The research is based on semi-structured interviews with urban planning experts in major Hungarian cities. Our results show that although decision-makers are open to using participatory approaches and gamification techniques, no clear guidelines and principles support these aspirations. The lack of trust and the apathy of citizens makes participatory planning a challenging task. Furthermore, the lack of resources is an obstacle and motivation at the same time when innovative planning methods are used. Full article

Informal soft system methodologies hold a significant role in developing complex systems. They bridge system knowledge and sensemaking among heterogeneous stakeholders. This article investigates the application of conceptual models to support such communication and understanding among transdisciplinary stakeholders, ensuring the translation of customer requirements and needs into suitable engineered systems. This article presents a case study incorporating observations, interviews, and a review of conceptual models utilized by an aerospace and defense case company for the development of future Manned–Unmanned Systems. It explores how practitioners employ conceptual modeling to support the Human Systems Integration (HSI) aspects of technological, organizational, and human elements of Manned–Unmanned Teaming (MUM-T) systems. The results indicate that practitioners utilize a mix of informal and formal types of conceptual models when developing Human Systems Integration aspects of the system. Formal models, such as sequence diagrams, requirement overviews, and functional flow models, are applied when addressing technology-focused aspects. Organization-centered modeling leverages representations like stakeholder maps and swimlane diagrams, while people-centered aspects rely more on informal techniques such as storytelling and user personas. The findings suggest a potential underestimation by practitioners of the value of quantification in conceptual modeling for Manned–Unmanned Systems development. This study highlights the important role that conceptual modeling methods play, particularly focusing on the informal aspects. These methods are instrumental in enhancing effective communication and understanding among transdisciplinary stakeholders. Furthermore, they facilitate mutual understanding, which is essential for fostering collaboration and shared vision in the development of complex systems. This facilitates deeper insights and reasoning into HSI for MUM-T applications. Full article

Over the last decade, AI has increasingly been adopted by newsrooms in the form of different tools aiming to support journalists and augment the capabilities of the profession. The main idea behind the adoption of AI is that it can make journalists’ work more efficient, freeing them up from some repetitive or routine tasks while enhancing their research and storytelling techniques. Against this idea, and drawing on the concept of “hype”, we employ a critical reflection on the lens often used to talk about journalism and AI. We suggest that the severe sustainability crisis of journalism, rooted in growing pressure from platforms and major corporate competitors, changing news consumption habits and rituals and the growing technologization of news media, leads to the obsessive pursuit of technology in the absence of clear and research-informed strategies which cater to journalism’s civic role. As AI is changing and (re)shaping norms and practices associated with news making, many questions and debates are raised pertaining to the quality and plurality of outputs created by AI. Given the disproportionate attention paid to technological innovation with little interpretation, the present article explores how AI is impacting journalism. Additionally, using the political economy framework, we analyze the fundamental issues and challenges journalism is faced with in terms of both practices and professional sustainability. In the process, we untangle the AI hype and attempt to shed light on how AI can help journalism regain its civic role. We argue that despite the advantages AI provides to journalism, we should avoid the “shiny things perspective”, which tends to emphasize productivity and profitability, and rather focus on the constructive synergy of humans and machines to achieve the six or seven things journalism can do for democracy. Otherwise, we are heading toward “alien intelligence” which is agnostic to the core normative values of journalism. Full article

In this article, we share our findings on patients’ experiences creating digital stories about living with advanced cancer, represented through found poetry. Over a period of 12 months, patients from the program “Managing Cancer and Living Meaningfully” (CALM) completed digital stories about their experiences living with cancer. Digital stories are short, personalized videos that combine photographs, imagery, narration, and music to communicate a personal experience about a topic of inquiry. Patient interviews were conducted about the digital storytelling process. Found poetry guided the analysis technique. It is a form of arts-based research that involves using words and phrases found in interview transcripts to create poems that represent research themes. This article begins with a brief overview of the psychosocial intervention CALM, arts in healthcare, and found poetry, followed by the project background. The found poems represent themes of emotional impact, legacy making, and support and collaboration. Findings also indicate the inherently relational aspect of digital storytelling as participants emphasized the integral role of the digital storytelling facilitator. What follows is a discussion on digital storytelling, which considers the role of found poetry in representing patient voices in the research process. Full article

This study proposes the Tourism Adaptable Digital Marketing Framework (TADMF), a flexible, cyclical model tailored to optimize digital marketing strategies for hotels and destinations. By leveraging data-driven insights and neuromarketing principles, the framework addresses critical gaps in traditional linear models to maximize bookings for hotels and enhance awareness of destinations. The three-stage cyclical process, attraction, engagement, and conversion, ensures continuous feedback and refinement across the customer journey. Hotels benefit from tailored techniques, such as dynamic pricing and personalized recommendations, while destinations focus on storytelling and user-generated content to forge emotional connections. Compared to traditional marketing models, this framework uniquely integrates online and offline interactions to create cohesive customer experiences. Key findings reveal that the TADMF fosters a dynamic interplay between theoretical innovation and practical applicability, demonstrating scalability and adaptability to diverse tourism contexts. The study concludes that the TADMF offers a robust foundation for addressing the evolving challenges of digital marketing in tourism, paving the way for future research into advanced technologies such as AR, VR, and AI. Full article