Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0
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2024
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| author | Pollini, Alessandro Sabatini, Tania Traversari, Sara |
| author_facet | Pollini, Alessandro Sabatini, Tania Traversari, Sara |
| contents | <p>In manufacturing, Human-Line Interactions (HLI) are characterised by three aspects: the operator’s loss of situational awareness due to the opacity of the systems [1], the complexity and interdependency of all the automation functions, and the machine autonomy that always requires to be clearly communicated. The PROXIMA project solves for these aspects by creating an Augmented Reality (AR) Training Kit that supports and enhances human cognition in the act of learning in HLI-based environments. With the focus on human cognition in the act of learning, the PROXIMA (AR) Training Kit will seamlessly integrate spatial guidance, machine and equipment training, and hazard identification, through virtual simulations and real-time contextual instructions [2, 3]. A key aspect of the Kit is proximity, both in terms of spatial factors (i.e. user’s position with relation to the line and workspace features) and human factors (i.e. the machine is shown differently based on the user’s knowledge and necessities).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19401634 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0 Pollini, Alessandro Sabatini, Tania Traversari, Sara Virtual reality Learning Educational Technology/education Machinery Augmented Reality Training <p>In manufacturing, Human-Line Interactions (HLI) are characterised by three aspects: the operator’s loss of situational awareness due to the opacity of the systems [1], the complexity and interdependency of all the automation functions, and the machine autonomy that always requires to be clearly communicated. The PROXIMA project solves for these aspects by creating an Augmented Reality (AR) Training Kit that supports and enhances human cognition in the act of learning in HLI-based environments. With the focus on human cognition in the act of learning, the PROXIMA (AR) Training Kit will seamlessly integrate spatial guidance, machine and equipment training, and hazard identification, through virtual simulations and real-time contextual instructions [2, 3]. A key aspect of the Kit is proximity, both in terms of spatial factors (i.e. user’s position with relation to the line and workspace features) and human factors (i.e. the machine is shown differently based on the user’s knowledge and necessities).</p> |
| title | Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0 |
| topic | Virtual reality Learning Educational Technology/education Machinery Augmented Reality Training |
| url | https://doi.org/10.5281/zenodo.19401634 |