{"id":887826,"date":"2022-10-17T17:05:48","date_gmt":"2022-10-18T00:05:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2022-10-17T17:36:23","modified_gmt":"2022-10-18T00:36:23","slug":"modelling-the-training-process","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/modelling-the-training-process\/","title":{"rendered":"Modelling the Training Process"},"content":{"rendered":"

In this paper we propose a parametric model of the training process which includes the skill increase and retention during training. The model is verified with the data from 22 subjects performing tasks in a flight simulator. The resulting computational model estimates the behavioral score.<\/p>\n","protected":false},"excerpt":{"rendered":"

In this paper we propose a parametric model of the training process which includes the skill increase and retention during training. The model is verified with the data from 22 subjects performing tasks in a flight simulator. The resulting computational model estimates the behavioral score.<\/p>\n","protected":false},"featured_media":887847,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13552,13554],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[247711],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-887826","msr-research-item","type-msr-research-item","status-publish","has-post-thumbnail","hentry","msr-research-area-hardware-devices","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-field-of-study-brain-computer-interface"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2022-9-13","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"IEEE","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/10\/ModellingTheTrainingProcess_final.pdf","id":"887832","title":"modellingthetrainingprocess_final","label_id":"243109","label":0}],"msr_related_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/10\/RAPID2022_ModellingTheTrainingProcess.pdf","id":"887835","title":"rapid2022_modellingthetrainingprocess","label_id":"243115","label":0}],"msr_attachments":[{"id":887835,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/10\/RAPID2022_ModellingTheTrainingProcess.pdf"},{"id":887832,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/10\/ModellingTheTrainingProcess_final.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Ivan Tashev","user_id":32127,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ivan Tashev"},{"type":"user_nicename","value":"Mike Winters","user_id":40621,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Mike Winters"},{"type":"user_nicename","value":"Yu-Te Wang","user_id":40564,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Yu-Te Wang"},{"type":"user_nicename","value":"David Johnston","user_id":31562,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=David Johnston"},{"type":"text","value":"Alexander Reyes","user_id":0,"rest_url":false},{"type":"text","value":"Justin Estepp","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144923],"msr_project":[661380],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":661380,"post_title":"Brain-Computer Interfaces","post_name":"brain-computer-interfaces","post_type":"msr-project","post_date":"2020-05-21 13:38:22","post_modified":"2024-11-07 16:24:14","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/brain-computer-interfaces\/","post_excerpt":"The Brain-Computer Interfaces (BCI) project in Microsoft Research aims to enable BCI for the general population. 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