{"id":169,"date":"2023-11-23T11:43:18","date_gmt":"2023-11-23T11:43:18","guid":{"rendered":"http:\/\/138.4.40.58:8080\/?page_id=169"},"modified":"2025-01-14T09:40:35","modified_gmt":"2025-01-14T08:40:35","slug":"about","status":"publish","type":"page","link":"https:\/\/iptc.upm.es\/coda\/about\/","title":{"rendered":"About"},"content":{"rendered":"
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Air traffic control is reputed as one of the five most stressful professions there is. Addressing the mental workload of controllers is therefore an important area of SESAR research and innovation and one that can be addressed using\n artificial intelligence. The project aims to develop a digital assistant capable of predicting future traffic, and assessing controllers\u2019 stress levels and attention span, and whether they would be capable of handling the anticipated\n workload. The assistant would decide how to act, following an adaptation strategy: it may, for instance, increase the level of automation, enable additional AI-based tools, or request changes to the airspace (sector splitting).<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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ACKNOWLEDGEMENT<\/h5>\n <\/div>\n <\/div>\n
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This project has received funding from the SESAR Joint Undertaking under the European Union\u2019s Horizon Europe research and innovation programme under grant agreement No 101114765<\/p>\n <\/div>\n <\/div>\n

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CONTACTS<\/h5>\n <\/div>\n <\/div>\n
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Project Coordinator<\/p>\n <\/div>\n <\/div>\n

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STEFANO BONELLI\n
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\n \n <\/path>\n <\/svg><\/span> stefano.bonelli@dblue.it<\/span><\/a>\n <\/span>\n <\/div>\n <\/div>\n
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Dissemination Leader\n
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JUAN ALBERTO BESADA PORTAS\n
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\n \n <\/path>\n <\/svg><\/span> juanalberto.besada@upm.es<\/span><\/a>\n <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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FOLLOW US<\/h5>\n <\/div>\n <\/div>\n
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Air traffic control is reputed as one of the five most stressful professions there is. Addressing the mental workload of controllers is therefore an important area of SESAR research and innovation and one that can be addressed using artificial intelligence. The project aims to develop a digital assistant capable of predicting future traffic, and assessing […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-169","page","type-page","status-publish","hentry"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/pages\/169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/comments?post=169"}],"version-history":[{"count":12,"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/pages\/169\/revisions"}],"predecessor-version":[{"id":951,"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/pages\/169\/revisions\/951"}],"wp:attachment":[{"href":"https:\/\/iptc.upm.es\/coda\/wp-json\/wp\/v2\/media?parent=169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}