University of Wales Trinity Saint David

We present MobiPhysio, a 2D video-based dataset designed to support AI-driven physiotherapy assessment and monitoring. The dataset contains 3686 segmented videos of 9 Active Range of Motion physiotherapy exercises performed by 58 male and female participants. The recordings are done under the variations in lighting, camera angles, occlusion, and jitter in order to mimic real-world conditions. Data collection occurred in two phases: first from non-expert participants at Stamford University Bangladesh, and later from expert participants at the Department of Physiotherapy and Rehabilitation, Jashore University of Science and Technology. The entire process was conducted under the guidance of certified physiotherapists. Each video is further annotated with assessment scores derived from the exercise-specific Exercise Accuracy Assessment Questionnaire (EAAQ), developed under expert guidance. This dataset would enable researchers to build and test AI-powered physiotherapy and rehabilitation systems, examine human motion, and create exercise monitoring solutions using available 2D camera devices like mobile phones without the need of external body-reliant sensors.

Lars Hertzberg suggests that it is obvious that “getting clear about the sense of our moral utterances is a matter of getting clear about the nature of the interchanges to which they belong”. The paper explores the significance of this through illustrations, drawn from Hertzberg’s work, of the importance of paying proper attention to two ranges of variation in such interchanges: first, to the distinctions between first, second and third person contexts of discussion and, second, to those between tenses, between, for example, discussions of what she should do and of what she should have done. Hertzberg brings out the importance of these distinctions through critical discussion of themes in Williams, Winch and Anscombe. In an extended discussion of an example of his own, Hertzberg speaks of the temptation “to think that we could, in some sense, take part in the very same discussion that Horthy may have carried out with his advisers, or with his family, or with himself, in wrestling with the issue” of what he should have done. A parallel is drawn with philosophical treatments of fatalism, where differences in the practical relations in which individuals stand to particular actions tend to be overlooked.

Abstract The rapid expansion of artificial intelligence (AI) across sectors has accelerated the development of AI-focused credentials in higher education, including degrees, certificates, and micro-credentials. Central to many of these credentials is Python programming, which underpins machine learning, data science, and applied AI development. This study examines how immersive learning strategies—such as virtual simulation environments, gamified coding platforms, and project-based immersive learning—are integrated into AI credential programs in Wales and how they transform teaching and learning practices. Using a mixed-methods research design combining document analysis, surveys, and semi-structured interviews, the study explores pedagogical change, faculty development, student learning outcomes, and workforce alignment. Findings indicate that immersive learning functions as a catalyst for curricular innovation, enhances conceptual understanding of AI through Python, and supports responsible AI education. The paper contributes empirical evidence to international discussions on AI credentials as drivers of pedagogical and institutional transformation in higher education.

IntroductionDigital media and immersive technologies have introduced new modes of grieving, particularly within virtual reality (VR) environments where users inhabit emotionally meaningful avatars. While existing research focuses mostly on commemorating real-world deceased individuals, little is known about how people experience grief when virtual avatars—embodied extensions of identity—are lost, deleted, or symbolically “died.” This study addresses this gap by examining generational differences in how users interpret and respond to avatar loss within VR-based memorial ceremonies.MethodsTwo avatar-based funerals were conducted on VRChat using qualitative research methods: a solemn ceremony for a retired World of Warcraft “Death Knight” and a playful sea-burial for a Sea of Thieves “Pirate.” Data were collected through participant observation and sixteen semi-structured interviews with users aged 18–65. Thematic analysis was conducted to identify key dimensions of emotional and cultural meaning.ResultsTwo overarching thematic dimensions emerged: (1) Generational Differences and Cultural Influence, and (2) Emotional Experience During Digital Mourning. Younger participants tended to approach avatar loss with humor, narrative play, and flexible identity experimentation, whereas older participants engaged with greater solemnity, ritual structure, and symbolic continuity in memorial practices.DiscussionIntegrating grief theory with socio-technical perspectives, the study proposes the Hybrid Grief Model of Virtual Mourning (HGM-VM), conceptualizing digital grief as a dynamic interplay of emotional transition, oscillatory coping, and continuing bonds within virtual spaces. The findings show that virtual mourning does not diminish emotional authenticity but reconfigures it through immersive, participatory, and generationally shaped practices, offering theoretical and practical implications for designing inclusive and emotionally resonant virtual memorial environments.

BackgroundEating fish regularly can lower the risks of heart disease, brain disorders, and overall mortality, especially in older adults. Even with these benefits, older people tend to eat less fish than younger people, and the reasons behind these eating habits are not well understood.AimThis study investigated the determinants of fish consumption among older adults in the UK. It focused on what they see as helpful or limiting factors and their beliefs about health.MethodsThe study used a qualitative approach with two focus group discussions involving 12 participants aged 60 and older, recruited from a local religious organisation in Wolverhampton, UK. Data was collected through semi-structured interviews based on available literature and expert advice. The transcripts were analysed using thematic analysis to find key themes. Rigour was maintained through reflection, the use of different moderators, and repeated coding.ResultsParticipants explained that their fish consumption is influenced by cultural traditions, religious beliefs, family habits, and personal tastes. Helpful factors included taste, health beliefs, and convenience. Barriers included cost, difficulty in preparation, and availability. Many participants acknowledged the physical and mental health benefits of eating fish, but they also expressed concerns about quality, authenticity, and misconceptions regarding frozen fish. These results show how dietary choices are affected by a mix of personal, social, and environmental factors.ConclusionAlthough older adults acknowledge the nutritional and health benefits of fish, practical barriers such as affordability, accessibility, and preparation challenges continue to limit intake. Addressing these barriers and promoting lifelong positive habits may support improved consumption and healthier ageing.

The rapid advancement of artificial intelligence (AI) technology has led to its widespread application across various fields, including e-commerce platforms. AI chatbots, powered by large data models, have emerged as a crucial tool for enhancing customer service and user experience. This study aims to investigate the impact of AI chatbot problem-solving capabilities on users’ intention to continue using these services within e-commerce platforms. By integrating elements from the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM), a comprehensive research model is proposed to examine the relationships between problem-solving, confirmation, perceived ease of use, satisfaction, trust, and continued usage intention. The study employs structural equation modelling (SEM) to analyse data collected from 315 participants through an online questionnaire. The findings reveal that problem-solving abilities positively influence users’ confirmation, which in turn positively affects satisfaction, perceived ease of use, and trust. Furthermore, perceived ease of use exhibits a positive impact on satisfaction, trust, and continued usage intention. Satisfaction and trust have a positive impact on continued usage intention, with satisfaction showing a stronger influence than both problem-solving ability and ease of use. The study contributes to the theoretical understanding of user perceptions and behaviours in AI-driven interactions within e-commerce platforms. It highlights the importance of problem-solving capabilities, perceived ease of use, satisfaction, and trust in driving users’ continued engagement with AI chatbots. Practical implications for AI technology developers and e-commerce companies are discussed, emphasizing the need to focus on enhancing chatbots’ problem-solving proficiency and user-friendliness to foster long-term user retention. Future research directions are proposed, addressing the study’s limitations and exploring the generalizability of the findings beyond the e-commerce context.