Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning

Embodiments are directed to a computer-implemented method that includes receiving, at a triggering system, input data about an environment. Machine learning (ML) algorithms extract features from the input data and analyze relationships among and between the features to generate user-interaction-read...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Fucs, Ana, Costa Villas Bôas Segura, Vinícius, Guimaraes, Rodrigo Laiola, Nogima, Julio
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Fucs, Ana
Costa Villas Bôas Segura, Vinícius
Guimaraes, Rodrigo Laiola
Nogima, Julio
description Embodiments are directed to a computer-implemented method that includes receiving, at a triggering system, input data about an environment. Machine learning (ML) algorithms extract features from the input data and analyze relationships among and between the features to generate user-interaction-readiness model of person-A's readiness to participate in a human interaction with other persons in the environment. The ML algorithms to apply real-world data about person-A to the user-interaction-readiness model to generate a first classification output comprising data representing person-A's readiness to participate in a human interaction with other persons in the environment. Based at least in part on a determination that person-A and another person(s) in the environment are interaction candidates, the triggering system triggers the initiation of human interaction strategies configured to facilitate human interactions between person-A and the previously identified another person(s) in the environment.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US10770072B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US10770072B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US10770072B23</originalsourceid><addsrcrecordid>eNqNjLEOwjAMRLswIOAfzF6kUobuVCB2YK5M6qaWgl0lbiX-ngx8ANNJ797dugitemHjhcAie0-RxYMOMM5vFGAxiuiMVSBZRCPPlMAUBnQc2DIBpyHgS3ObtRKmqP2cJwvbpwSUHgJhlPy7LVYDhkS7X26K_fXyaG8HmrSjNKEjIeue92PVNFXV1Of69I_zBbzrQu0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning</title><source>esp@cenet</source><creator>Fucs, Ana ; Costa Villas Bôas Segura, Vinícius ; Guimaraes, Rodrigo Laiola ; Nogima, Julio</creator><creatorcontrib>Fucs, Ana ; Costa Villas Bôas Segura, Vinícius ; Guimaraes, Rodrigo Laiola ; Nogima, Julio</creatorcontrib><description>Embodiments are directed to a computer-implemented method that includes receiving, at a triggering system, input data about an environment. Machine learning (ML) algorithms extract features from the input data and analyze relationships among and between the features to generate user-interaction-readiness model of person-A's readiness to participate in a human interaction with other persons in the environment. The ML algorithms to apply real-world data about person-A to the user-interaction-readiness model to generate a first classification output comprising data representing person-A's readiness to participate in a human interaction with other persons in the environment. Based at least in part on a determination that person-A and another person(s) in the environment are interaction candidates, the triggering system triggers the initiation of human interaction strategies configured to facilitate human interactions between person-A and the previously identified another person(s) in the environment.</description><language>eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200908&amp;DB=EPODOC&amp;CC=US&amp;NR=10770072B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200908&amp;DB=EPODOC&amp;CC=US&amp;NR=10770072B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Fucs, Ana</creatorcontrib><creatorcontrib>Costa Villas Bôas Segura, Vinícius</creatorcontrib><creatorcontrib>Guimaraes, Rodrigo Laiola</creatorcontrib><creatorcontrib>Nogima, Julio</creatorcontrib><title>Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning</title><description>Embodiments are directed to a computer-implemented method that includes receiving, at a triggering system, input data about an environment. Machine learning (ML) algorithms extract features from the input data and analyze relationships among and between the features to generate user-interaction-readiness model of person-A's readiness to participate in a human interaction with other persons in the environment. The ML algorithms to apply real-world data about person-A to the user-interaction-readiness model to generate a first classification output comprising data representing person-A's readiness to participate in a human interaction with other persons in the environment. Based at least in part on a determination that person-A and another person(s) in the environment are interaction candidates, the triggering system triggers the initiation of human interaction strategies configured to facilitate human interactions between person-A and the previously identified another person(s) in the environment.</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEOwjAMRLswIOAfzF6kUobuVCB2YK5M6qaWgl0lbiX-ngx8ANNJ797dugitemHjhcAie0-RxYMOMM5vFGAxiuiMVSBZRCPPlMAUBnQc2DIBpyHgS3ObtRKmqP2cJwvbpwSUHgJhlPy7LVYDhkS7X26K_fXyaG8HmrSjNKEjIeue92PVNFXV1Of69I_zBbzrQu0</recordid><startdate>20200908</startdate><enddate>20200908</enddate><creator>Fucs, Ana</creator><creator>Costa Villas Bôas Segura, Vinícius</creator><creator>Guimaraes, Rodrigo Laiola</creator><creator>Nogima, Julio</creator><scope>EVB</scope></search><sort><creationdate>20200908</creationdate><title>Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning</title><author>Fucs, Ana ; Costa Villas Bôas Segura, Vinícius ; Guimaraes, Rodrigo Laiola ; Nogima, Julio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10770072B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Fucs, Ana</creatorcontrib><creatorcontrib>Costa Villas Bôas Segura, Vinícius</creatorcontrib><creatorcontrib>Guimaraes, Rodrigo Laiola</creatorcontrib><creatorcontrib>Nogima, Julio</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fucs, Ana</au><au>Costa Villas Bôas Segura, Vinícius</au><au>Guimaraes, Rodrigo Laiola</au><au>Nogima, Julio</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning</title><date>2020-09-08</date><risdate>2020</risdate><abstract>Embodiments are directed to a computer-implemented method that includes receiving, at a triggering system, input data about an environment. Machine learning (ML) algorithms extract features from the input data and analyze relationships among and between the features to generate user-interaction-readiness model of person-A's readiness to participate in a human interaction with other persons in the environment. The ML algorithms to apply real-world data about person-A to the user-interaction-readiness model to generate a first classification output comprising data representing person-A's readiness to participate in a human interaction with other persons in the environment. Based at least in part on a determination that person-A and another person(s) in the environment are interaction candidates, the triggering system triggers the initiation of human interaction strategies configured to facilitate human interactions between person-A and the previously identified another person(s) in the environment.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US10770072B2
source esp@cenet
subjects ACOUSTICS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Cognitive triggering of human interaction strategies to facilitate collaboration, productivity, and learning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T08%3A00%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Fucs,%20Ana&rft.date=2020-09-08&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS10770072B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true