A vigilant approach is recommended towards the use of AI-generated imagery in medical education at present, underscoring the imperative for thorough validation and the importance of collaboration across disciplines.
This book discusses Peter Maximoff's childhood, sibling Bonding, Star Trek TOS References, and more about Peter and Erik Lehnsherr.
This work introduces a framework to evaluate cultural competence of T2I models along two crucial dimensions: cultural awareness and cultural diversity, and presents a scalable approach using a combination of structured knowledge bases and large language models to build a large dataset of cultural artifacts to enable this evaluation.
This paper unravels the potential of sketches for diffusion models, addressing the deceptive promise of direct sketch control in generative AI, and introduces an abstraction-aware framework, using a sketch adapter, adaptive time-step sampling, and discriminative guidance from a pre-trained fine-grained sketch-based image retrieval model, working synergistically to reinforce fine-grained sketch-photo association.
The finding indicates that the current conceptualization of ML as a design material needs to reframe the ML process as design elements, instead of technical details, and offers reflections on commonly held assumptions in HCI about ML uncertainty, dependability, and explainability.
This work introduces a new bipedal robot, designed with a focus on character-driven mechanical features, and presents a reinforcement learning-based control architecture to robustly execute artistic motions conditioned on command signals.
The study concluded that AR technology significantly improved student performance, flow state, and reduced cognitive load, highlighting its potential to enhance visual arts education.
This review aims to investigate the opportunities that soundscape design and advanced sonic interactions in virtual and augmented environments can bring to cultural heritage sites and museums in terms of presence, emotional content, and cultural dissemination.
An interactive application called SMKExplore is presented, which allows users to explore a museum’s digital collection of paintings by browsing through objects detected in the images, as a novel form of open-ended exploration.
A comprehensive review of generative AI’s evolution, significance, and applications, including the foundational architectures such as generative adversarial networks, variational autoencoders, autoregressive models, flow‐based models, and diffusion models, are provided.
An investigation into the integration of LLMs within MR environments, focusing on the context of virtual art exhibitions, and evaluates the user experience and perceived trustworthiness of this approach in enhancing the exploration of virtual art exhibitions.
It is found that participation in shared artistic experience was associated with lower levels of depression and anxiety, and group arts are an effective intervention for addressing depression and anxiety among older adults.
Results highlighted the effectiveness of the GAI-powered ABL learning system in enhancing students’ historical knowledge and motivation and reducing cognitive load.
An in-depth examination of the intersection of sustainable technologies, pedagogical theories, and assessment methods within visual art education indicates that the use of technology in art education is still in its nascent stages, yet it holds significant potential for sustainable development.
It is found that AI “hallucination” in computational visual storytelling is the opposite of groundedness: literary expression that is ungrounded in the visual or textual inputs, and can be a source of either creativity or harm entangled with bias and illusion.
A novel ontology named the Reactive Digital Twin Ontology is described, in which sensors, activators, and the decision processes are also semantically described, turning the previous synchronic approach to cultural heritage documentation into a diachronic one.
The benefits of this transition, the research findings obtained in the last years within the framework of the ARTISTIC project, and the actions to move from the authors' research to industrial products are discussed.
The revised RG-MBI checklist has a total of 12-items that pertain to eight different components of MBI interventions including name, theory/scientific rationale, content, interventionist, individual/group, setting, delivery schedule, and treatment fidelity and is recommended to accelerate and improve the scientific rigor of MBI research.
The results indicate that the AI-generated virtual instructor significantly enhances affective engagement and has a comparably beneficial effect on academic performance and cognitive load compared to the human instructor, and the conversational teaching style considerably improves students’ academic performance, reduces cognitive load, and fosters engagement.
The research aims to compare the first results obtained through the NeRF and Gaussian Splatting methodology which constitute the current state of the art of this type of processing, and to describe the video acquisition of a noble chapel of the Cemetery of Santa Maria dei Rotoli in Palermo to promote knowledge of ‘fragile’ artefacts.
An evaluation of the usability of SARD and its creativity support shows that while node-based visualization of the narrative may help writers build a mental model, it exerts unnecessary mental overhead to the writer and becomes a source of distraction as the story becomes more elaborated.
The results of this study concluded that there are various aesthetic values in the use of Arabic calligraphy that can be used to create contemporary furniture designs using artificial intelligence techniques to preserve its sustainability.
The findings suggest that NeRFs perform well in scenarios with homogeneous textures, variable lighting conditions, reflective surfaces, and fine details, however, they exhibit higher noise and lower texture quality compared to other consolidated image-based techniques as photogrammetry, especially in case of small-scale artifacts.
The design and development process of GenFrame is unpack, an image generating picture frame that utilizes generative AI capabilities to mimic traditional paintings to achieve specific design intents.
A substantial scoping pilot study that looks at the impact of AI on the scholarly communications of international ECRs and extends this to the arts and humanities and shows ECRs to be thinking, probing and, in some cases, experimenting with AI.
Evaluating the effectiveness of AR in student learning, focusing on a cohort of 64 visual communication design students at a university in Hefei, China, reveals that the interactivity and unique advantages of AR can create engaging teaching content, significantly enhancing students’ learning outcomes, motivation, and engagement.
Four state-of-the-art VA RecSys engines are investigated, evaluating the relevance of their recommendations for therapeutic purposes compared to expert-curated recommendations, and results suggest all recommendations enhance temporal affective states.
The effectiveness of XR for audience engagement and the added value that such technologies offer to the user experience as well as possible improvements are investigated.
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