Search Results (370)

The global rise in childhood speech disorders highlights the need for accessible and engaging home-based rehabilitation tools. This study applied the Double Diamond design framework to enhance the user experience (UX) of Smart Speech, a gamified functional speech therapy program. Using heuristic evaluation, expert interviews, and benchmarking, six core UX problem areas were identified, including insufficient guidance, low personalized motivation, limited feedback, and accessibility issues. Through an iterative ideation process, 78 UX improvement concepts were generated, encompassing motivational reinforcement (e.g., praise stickers and character interaction), automated training guidance, enhanced feedback mechanisms, and error-prevention features. A usability evaluation with 20 participants, including speech-language pathologists (SLPs) and parents, showed significant improvements across key dimensions, with increases of 1.1 to 2.6 points on a 7-point scale. These findings demonstrate that systematic UX design can substantially improve engagement, usability, and the potential therapeutic utility of home-based speech therapy systems. Full article

In his innovative and creative attempt to reconcile empiricism and religion, William James made the case for finite theism and a pluralistic conception of the cosmos involving overlapping minds of several scales. In doing so, James also cautioned against abandoning functional psychology in favor of what he called entitative points of view. In his work, Ralph Barton Perry critiqued James for understating the role of embodiment in cognition. In Perry’s view, the central role the body plays in cognition suggests that so-called social or composite minds lack integration and are thus cognitively inferior to embodied minds. However, Perry also believed that the emergent character of embodied cognition provides grounds for an alternative, humanistic spirituality. In this article, I compare James and Perry on theology, and I argue that Perry’s concerns about the importance of embodiment in cognitive integration help illuminate a tripartite distinction between what I call impersonal, subpersonal, and personal theologies that scholars looking for more embodied approaches to theology would do well to consider. Full article

Feminist poets and scholars have transformed Queen Esther from a relatively silent biblical figure into a complex literary character, yet systematic analysis of their interpretive strategies remains limited. This study examines how these poets employ feminist hermeneutical frameworks to reimagine Esther’s experiences and choices. Using a close-reading methodology, the analysis applies Alicia Ostriker’s hermeneutical modes (suspicion, desire, and indeterminacy) and Wendy Zierler’s hermeneutics of identification to poems by Janet Ruth Heller, Carol Barrett, Caryn Mirriam-Goldberg, Stacey Zisook Robinson, Jill Hammer, Enid Dame, Yala Korwin, and Bonnie Lyons from the late twentieth and early twenty-first centuries. The poems organize into three thematic categories: transformation and identity formation during Esther’s preparation for queenship; the interior and moral costs of her heroic actions; and retrospective reflections comparing her strategic compliance with Vashti’s direct defiance. The analysis reveals that these poets challenge traditional binary oppositions between the two queens, positioning both strategic accommodation and direct refusal as legitimate forms of feminist resistance within patriarchal structures. By giving Esther a first-person voice and exploring her interior life, these works create a new literary midrash that addresses contemporary concerns about women’s agency while maintaining deep engagement with Jewish textual tradition. Full article

English is the first foreign language most Taiwanese have encountered, yet few have achieved proficient speaking skills. This paper presents a generative AI-based English speaking training system designed to enhance oral proficiency through interactive AI agents. The system employs ChatGPT version 5.2 to generate diverse and tailored conversational scenarios, enabling learners to practice in contextually relevant situations. Spoken responses are captured via speech recognition and analyzed by a large language model, which provides intelligent scoring and personalized feedback to guide improvement. Learners can automatically generate scenario-based scripts according to their learning needs. The D-ID AI system then produces a virtual character of the AI agent, whose lip movements are synchronized with the conversation, thereby creating realistic video interactions. Learning with an AI agent, the system maintains controlled emotional expression, reduces communication anxiety, and helps learners adapt to non-native interaction, fostering more natural and confident speech production. Accordingly, the proposed system supports compelling, immersive, and personalized language learning. The experimental results indicate that repeated practice with the proposed system substantially improves English speaking proficiency. Full article

Entrepreneurship is increasingly important for economic and societal innovation, yet the individual characteristics that encourage entrepreneurial entry remain insufficiently understood. This study examined whether character strengths, attention deficit hyperactivity disorder (ADHD), and highly sensitive person (HSP) traits influence entrepreneurial entry. Two independent web-based surveys were conducted, with ADHD assessed using a psychological scale in Study 1 and self-reported medical diagnosis in Study 2. The Character Strengths Test24 showed a revised factor structure, and an extracted factor (Drive) positively influenced entrepreneurial entry in both samples. ADHD (Hyperactivity/Impulsivity) consistently facilitated entrepreneurial entry, while HSP (Ease of Excitation) inhibited it. The robust positive contribution of ADHD traits across both symptomatic and clinically diagnosed individuals suggests that entrepreneurial potential is not limited by clinical labels and may also be found among individuals who are often marginalized, misunderstood, or discouraged in traditional career pathways. These findings highlight the importance of educational and support systems that not only develop character strengths linked to entrepreneurial drive but also recognize, accommodate, and strategically leverage diverse neuropsychological traits. Empowering individuals with varied cognitive profiles may expand pathways to innovation and contribute to a more inclusive entrepreneurial ecosystem. Full article

Background/Objectives: Sociocultural factors, including migration and acculturation, may influence the clinical profile and course of eating disorders (EDs). This study examined differences between immigrant and native-born Spanish patients with EDs in (1) clinical presentation and (2) treatment response. Methods: Consecutive outpatients from the Eating Disorders Unit at Bellvitge University Hospital (Barcelona, Spain) were assessed using the Eating Disorder Inventory-2 (EDI-2), Symptom Checklist-90-R (SCL-90-R), and Temperament and Character Inventory-Revised (TCI-R). Statistical analyses included chi-square tests, ANOVA, Cox regression for dropout, and logistic regression for predictors of poor outcome, adjusted for ED subtype. Results: The sample included 1104 patients (947 native-born; 157 immigrants). Immigrant patients showed a distinct clinical profile, with lower drive for thinness and body dissatisfaction but higher interpersonal distrust, maturity fears, perfectionism, anxiety-related symptoms, and self-transcendence. They also presented a worse treatment response, including higher dropout rates, poorer outcomes, and lower remission rates. Predictive models identified different risk factors for poor treatment response in each group: among native-born patients, younger age of ED onset, higher novelty seeking, and lower self-directedness were associated with worse outcomes, whereas among immigrant patients, greater ED severity, lower harm avoidance, and lower self-transcendence predicted poorer results. Conclusions: Immigrant patients with EDs exhibit a differentiated clinical presentation and less favorable treatment response compared to native-born patients. The differential predictors of poor outcome highlight the need for culturally informed and individually tailored interventions that consider both sociocultural context and personality-related vulnerabilities. Full article

Kindness, from the perspective of positive psychology and character strengths, is a virtue that supports others’ emotional and practical needs, strengthens relationships, and fosters a positive, inclusive social environment. Kindness can be defined as characterized by a set of behaviors, attitudes, and dispositions rooted in care, empathy, respect, and prosocial motivation. Kindness is a multidimensional, prosocial construct that developmentally evolves, shaped by cognitive development, personal and interpersonal factors, and social contexts. As individuals mature across childhood and adolescence, their understanding and expression of kindness become more complex, reflecting growing social and relational awareness and competency. Full article

The primary goal of my paper is to elaborate a methodology for literary interpretation that points out how a literary narrative prose text interprets its own characters, plots, and existential problems. In this context, one of the main premises of my remarks is that interpretation, is not the privilege of the act of reading. Misreading, or the “sins” of ideological interpretation can only be avoided if it is recognized that reading and interpretation are problems of the text itself. Beyond the formalist, structuralist, and poststructuralist methodologies of literary analysis, I found in Paul Ricœur’s Biblical hermeneutics the interpretive process and conceptual system that are able to reveal the self-interpretive functions of literary narrative works. According to him, there is a special type of text: the interpretive narrative. The interpretive narrative as a special genre designation refers to the Gospels’ narrative presentation of the passion. In a nutshell: the essence of interpretive narrative is that there is a text interpreting process, which is achieved by the narrative discourse itself (“before” any act of reading). In accordance with the results of Biblical hermeneutics but focusing on literary interpretation, I would like to elaborate on the notion of narrative parallelism in order to reveal those poetic conditions of literary narrative by which misreading or the “sins” of ideological reading can be eliminated. Narrative parallelism is a special type of metaphorical process in which a personal story is interpreted by the story of an object. Literary narrative prose has a specific and unique “virtue” compared to other literary genres or non-literary narratives: using descriptive discourse prose language recognizes, reveals, and narrativizes the significance of details. The second premise of my remarks is that the seemingly secondary narrativized details, or the seemingly insignificant stories of the objects, serve as the interpretation of the literary narrative’s central aspects, namely characters, plots, and existential problems. The interpretation of the presentation of the main character’s story is prefigured in a semantic way by the text itself. I would like to explore the main processes of narrative parallelism as an interpretive narrative by the explanation of a short story’s (A. Moravia: Friendship) twofold emplotment. Full article

Deep learning (DL) methods have revolutionized natural language processing (NLP), enabling industrial documentation systems to process and generate text with high accuracy and fluency. Modern deep learning models, such as transformers and recurrent neural networks (RNNs), learn contextual relationships in text, making them ideal for analyzing and creating complex industrial documentation. Transformer-based architectures, such as BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), are ideally suited for tasks such as text summarization, content generation, and question answering, which are crucial for documentation systems. Pre-trained language models, tuned to specific industrial datasets, support domain-specific vocabulary, ensuring the generated documentation complies with industry standards. Deep learning-based systems can use sequential models, such as those used in machine translation, to generate documentation in multiple languages, promoting accessibility, and global collaboration. Using attention mechanisms, these models identify and highlight critical sections of input data, resulting in the generation of accurate and concise documentation. Integration with optical character recognition (OCR) tools enables DL-based NLP systems to digitize and interpret legacy documents, streamlining the transition to automated workflows. Reinforcement learning and human feedback loops can enhance a system’s ability to generate consistent and contextually relevant text over time. These approaches are particularly effective in creating dynamic documentation that is automatically updated based on data from sensors, registers, or other sources in real time. The scalability of DL techniques enables industrial organizations to efficiently produce massive amounts of documentation, reducing manual effort and improving overall efficiency. NLP has become a fundamental technology for automating the generation, maintenance, and personalization of industrial documentation within the Industry 4.0, 5.0, and emerging Industry 6.0 paradigms. Recent advances in large language models, search-assisted generation, and multimodal architectures have significantly improved the accuracy and contextualization of technical manuals, maintenance reports, and compliance documents. However, persistent challenges such as domain-specific terminology, data scarcity, and the risk of hallucinations highlight the limitations of current approaches in safety-critical manufacturing environments. This review synthesizes state-of-the-art methods, comparing rule-based, neural, and hybrid systems while assessing their effectiveness in addressing industrial requirements for reliability, traceability, and real-time adaptation. Human–AI collaboration and the integration of knowledge graphs are transforming documentation workflows as factories evolve toward cognitive and autonomous systems. The review included 32 articles published between 2018 and 2025. The implications of these bibliometric findings suggest that a high percentage of conference papers (69.6%) may indicate a field still in its conceptual phase, which contextualizes the article’s emphasis on proposed architecture rather than their industrial validation. Most research was conducted in computer science, suggesting early stages of technological maturity. The leading countries were China and India, but these countries did not have large publication counts, nor were leading researchers or affiliations observed, suggesting significant research dispersion. However, the most frequently observed SDGs indicate a clear health context, focusing on “industry innovation and infrastructure” and “good health and well-being”. Full article

Obesity has increased in prevalence worldwide and is now recognized by the World Health Organization as a global epidemic. Conventional treatments remain predominantly weight-loss-oriented, and although weight is a relevant and necessary clinical indicator, relying on it alone fails to capture the full complexity of health and well-being for people living with obesity. This review proposes a comprehensive conceptual framework grounded in flourishing, advocating for a more holistic and person-centered approach to obesity care. Flourishing encompasses six key domains: life satisfaction and happiness, mental and physical health, meaning and purpose, character and virtue, close social relationships, and financial and material stability. Integrating these domains alongside traditional clinical outcomes allows obesity care to move beyond a narrow weight focus, incorporating strategies that also foster resilience, social connectedness, and purpose. This approach aligns with personalized medicine, supporting interdisciplinary and individualized care. Considering persistent weight stigma and discrimination, embracing a whole-person perspective is not optional but rather essential. By placing the individual, not only the disease or the body, at the center of care, a flourishing perspective complements biomedical indicators and offers a more compassionate and sustainable model of obesity management. However, progress will depend on the openness of healthcare, education, research, and policy stakeholders to adopt new approaches that align care with what truly constitutes well-being for people living with obesity. Full article

This study examines how emerging sensor-based technologies can augment the personality expression of digital characters across multiple media. While digital animation and games have traditionally relied on movement to convey traits, the integration of motion capture, wearable biosensors, and live coding introduces new opportunities for dynamic, embodied character design. Drawing on the MONOLOVE saga, we developed four prototypes across animation, games, interactive performance, and interactive networked environments. Central to our approach is the Wheel of Personality model, a structured taxonomy that organizes expressive parameters into four categories: Character Structure, Motion–Action, Interaction, and Environment. Each prototype was designed to explore how these categories, mediated through sensor technologies, contribute to the perception of personality traits. An evaluation with 14 participants from diverse backgrounds employed questionnaires and interviews to assess the alignment between intended and perceived character traits. The results show that movement and interaction were consistently identified as the most influential cues, while the impact of environmental factors varied across media. Additional influences included narration and the personality of the audience, underscoring the interpretive nature of perception. We conclude that personality expression emerges from the interplay of multimodal cues and context, offering methodological insights and frameworks for designing expressive and emotionally resonant digital characters in trans-media productions. Full article

Inspired by the bans on diversity, equity, and inclusion (DEI) efforts in the U.S., this article considers how DEI influences individualism. This study uses literature on Black racial identity development and the conceptual lens of individualism to examine how Black women define themselves. The data used for this study came from 22 college-educated Black women who discussed their paths towards wearing their natural hair, which included personalized descriptions of the ways that race, gender, White beauty norms, workplace expectations, and the perspectives of others influenced this process. The narratives provided by these Black women reveal that DEI helps to promote their individual identity development by helping them to sort through the various messages and opinions to arrive at both a hairstyle and an identity that corresponds to their character. Full article

This research discusses the application of Emotional Artificial Intelligence (EAI) in art learning to enhance the character education of elementary school students. The main objective of this research is to explore how EAI can help improve students’ emotional intelligence as well as support their character development through art learning. The method used is a descriptive qualitative approach with case studies in several elementary schools that have integrated EAI into the art learning process. The results showed that the use of EAI can improve students’ ability to recognize and manage their emotions. In addition, EAI also plays a role in creating a more supportive learning environment, strengthening students’ social interactions, and improving their empathy and social skills. Nonetheless, challenges include limited technological infrastructure, teacher readiness, and the cost of implementing this technology. This research provides practical recommendations for schools to develop an EAI-based curriculum and support the development of students’ emotional intelligence through a more personalized and adaptive approach. Full article

Background: Research in personalized medicine, with applications in oncology, dermatology, cardiology, urology, and general healthcare, requires facile and safe access to accurate data. Due to its particularly sensitive character, obtaining health-related data, storing it in repositories, and federating it are challenging, especially in the context of open science and FAIR data. Methods: An online survey was conducted among medical researchers to gain insights into their knowledge and experience regarding the following topics: health data repositories and data federation, as well as their opinions regarding data sharing and their willingness to participate in sharing data. Results: The survey was completed by 189 respondents, the majority of whom were attending physicians and PhD candidates. Most of them acknowledged the complex, beneficial implications of data federation in the medical field but had concerns about data protection, with 75% declaring that they would agree to share data. A general lack of awareness (80%) about the importance of interoperability for federated data repositories was observed. Conclusions: Implementing federated data repositories in the health field requires thorough understanding, knowledge, and collaboration, enabling translational medicine to reach its full potential. Understanding the needs of all involved parties can shape the success of medical data federation initiatives, with this study serving as a foundation for further research. Full article

With origins in video gaming, 3D virtual worlds (VWs) are digital environments where people engage and interact synchronously using digital characters called avatars. VWs may have future potential for delivering youth mental health (YMH) services. Despite progress in developing VW-based YMH interventions, limited consultation with young people may be contributing to mixed uptake and engagement. This study aimed to understand how young people with experiences accessing YMH services view the potential (i.e., hypothetical) use of VWs for YMH service delivery to understand qualitative factors influencing uptake. Eleven 18–25-year-old consumers (M = 22.91 years; five women, five men, and one non-binary person) took part in one-on-one, semi-structured interviews via videoconferencing. Interviews explored anticipated ease of use, helpfulness, and perceived intention to use VW-based YMH interventions if they were made available. Interviews were analysed using reflexive thematic analysis. Four themes were produced: (1) VWs as unique therapeutic spaces; (2) creative engagement for therapy; (3) VW communication promoting both connection and distance; (4) flexible access. All participants expressed a level of openness towards the potential use of VWs for YMH interventions. Features such as creative world-building and avatar customisation, increased anonymity, and remote accessibility were seen as ways to improve access to convenient, personalised, and engaging mental healthcare. Concerns included technology misuse, privacy risks, and reduced physical and emotional presence. Future research and service development should test real-world outcomes to ensure clinical benefit and employ codesign approaches that leverage servicer-users’ expectations to ensure accessible and acceptable delivery. Full article