1,721,002 research outputs found
Cooperazione allo sviluppo e giustizia socio spaziale: il ruolo delle ong italiane nei processi di riequilibrio
No full textDI BLASI A. (a cura di) Geografia dialogo tra generazioni, Atti del XXIX Congresso Geografico Italian
First Steps in Constructing an AI-Powered Digital Twin Teacher: Harnessing Large Language Models in a Metaverse Classroom
No full text
Exploiting Augmented Reality in LEGO Therapy for Children with Autism Spectrum Disorder
No full textNumerous computer-based therapies have been designed for cognitive-behavioral interventions to support children with Autism Spectrum Disorder (ASD) in recent years. Among these technologies, Augmented Reality (AR) offers unique educational benefits because it provides children with direct guidance on their learning tasks. In this work, we propose “AR-brickhouse,” an AR application to support ASD children during LEGO therapy. It combines the benefits derived from AR technology and the LEGO tangible user interface with caregivers’ involvement. The novelty of our system concerns the improvement of ASD children’s basic skills such as positioning in space; focusing on tasks; acquisition of concepts of shape, color, and size. A preliminary user study involved eight ASD children and twelve therapists from a real medical center. Our results suggest that the proposed system is easy for therapists and allows children to improve the aforementioned basic skills. In fact, they were able to accomplish LEGO assembly tasks with better accuracy and in less time than traditional LEGO therapy
From Therbligs to Visual Assets: A Technique to Convey Work Instructions in Augmented Reality Technical Documentation
No full textIn this work, we present a technique to simplify the authoring of Augmented Reality Technical Documentation, allowing technical writers with limited knowledge in Augmented Reality (AR) to produce this new type of documentation in their companies. Contrarily to Traditional Technical Documentation, AR offers the opportunity to provide the exact amount of information needed through a careful design of the AR interface. However, in the literature, there are no established techniques to break work instructions down into elemental pieces of information and define how to convey this information through visual assets in AR. In this work, we proposed identifying the information contained in work instructions of technical documentation, extending the method of “Therbligs,” already used in the literature to describe assembly tasks. First, we defined six classes of information types: identity, location, order, way-to, notification, and orientation. Then, we showed how to use these information types to break down the work instructions of an assembly manual used as a case study. We found that the six information types were enough to analyze the complete manual. The second contribution of this work is the proposal of the most suitable visual asset and its properties for each information type. This goal was accomplished through a technical discussion in a focus group with ten experts in the design of AR technical documentation
The minimal AR authoring approach: Validation in a real assembly scenario
No full textThis work aims to validate the “minimal AR” authoring approach in a real industrial assembly scenario. It focuses on optimizing visual assets in Augmented Reality (AR) work instructions. The design of AR assembly documentation is influenced by three main variables: work instructions, affordance (dependent on equipment components and operator capabilities), and AR signifiers (combination of visual assets with their properties). In this study, we fixed the instruction complexity while exploring the relationship between affordance and AR signifiers. First, we set up a focus group of 10 experts in AR technical documentation to extract guidelines for the design of minimal AR signifiers for assembly instructions with a variable affordance. Then, we validated these guidelines through an industrial case study involving 34 participants in four assembly tasks. We verified if the candidate minimal AR signifier, obtained using the proposed guidelines, corresponded to the minimal AR signifier established by users. The results showed that in 33% of the cases, users exploited the candidate minimal AR signifier to accomplish the task successfully. Beyond the minimal AR signifier, an additional one conveying the notification about the task success must always be provided to ensure failure by those operators with reduced capabilities. We also found that, in 29% of the cases, users needed less information than the candidate minimal AR signifier due to their higher capabilities. However, as expected, this condition leads users to make more errors than with the candidate minimal AR signifier. Moreover, the study confirms that AR signifiers with redundant information or attractive appearance, such as animated product models, are unnecessary to improve task comprehension. Still, animations could be beneficial in reinforcing understanding when object properties are difficult to detect
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