{"id":1155866,"date":"2025-11-17T16:07:59","date_gmt":"2025-11-18T00:07:59","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=1155866"},"modified":"2025-11-17T16:08:00","modified_gmt":"2025-11-18T00:08:00","slug":"physiological-feedback-for-predictive-models","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/physiological-feedback-for-predictive-models\/","title":{"rendered":"Physiological feedback for predictive models"},"content":{"rendered":"
US Patent App. 18\/118,849. This document relates to employing biosignals to evaluate predictions made by predictive models. For example, user attention can be inferred from a user attention signal such as gaze. When the user directs attention to a prediction output by a given predictive model, a user reaction signal such as an electroencephalogram or pupillary diameter measurement can be processed to determine whether the user perceives an error. If the user perceives an error, an error indication can be output. Error indications can be used to evaluate the predictive model, replace predictions generated by the predictive model, train the predictive model, etc.<\/p>\n","protected":false},"excerpt":{"rendered":"
US Patent App. 18\/118,849. This document relates to employing biosignals to evaluate predictions made by predictive models. For example, user attention can be inferred from a user attention signal such as gaze. When the user directs attention to a prediction output by a given predictive model, a user reaction signal such as an electroencephalogram or […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"U.S. Patent","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2024-9-12","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":null,"footnotes":""},"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193724],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[269148,269142],"msr-field-of-study":[254053,250690,253618],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1155866","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-post-option-approved-for-river","msr-post-option-include-in-river","msr-field-of-study-cognitive-neuroscience-of-visual-object-recognition","msr-field-of-study-neuroscience","msr-field-of-study-predictive-modelling"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2024-9-12","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":"","msr_how_published":"U.S. Patent","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":"url","viewUrl":"false","id":"false","title":"https:\/\/patents.google.com\/patent\/US20240298946A1\/en","label_id":"243109","label":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Yu-Te Wang","user_id":0,"rest_url":false},{"type":"text","value":"Nemanja Djuric","user_id":0,"rest_url":false},{"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":"text","value":"Raymond Michael Winters","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Dimitra Emmanouilidou","user_id":37461,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Dimitra Emmanouilidou"},{"type":"user_nicename","value":"Hannes Gamper","user_id":31943,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Hannes Gamper"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144923],"msr_project":[661380],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"miscellaneous","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":"2026-03-05 17:38:09","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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