{"id":356813,"date":"2017-01-25T10:56:19","date_gmt":"2017-01-25T18:56:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=356813"},"modified":"2021-03-15T14:59:08","modified_gmt":"2021-03-15T21:59:08","slug":"technology-for-enhancing-conversations","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/technology-for-enhancing-conversations\/","title":{"rendered":"Technology for Enhancing Conversations"},"content":{"rendered":"

2011-2015<\/p>\n

Face to face or remote conversations can sometimes be challenging, be it for the language barriers or because of lack of topics that may keep a conversation smoothly flowing. We look at technology solutions to help enhance conversations across a number of projects, including translating utterances seamlessly from one language to another and helping people find conversation topics of mutual interest based on prior context or existing context on the internet.<\/p>\n","protected":false},"excerpt":{"rendered":"

2011-2015 Face to face or remote conversations can sometimes be challenging, be it for the language barriers or because of lack of topics that may keep a conversation smoothly flowing. We look at technology solutions to help enhance conversations across a number of projects, including translating utterances seamlessly from one language to another and helping […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13554],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-356813","msr-project","type-msr-project","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2011-01-01","related-publications":[168367,168370,164431],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"kstrauss","display_name":"Karin Strauss","author_link":"Karin Strauss<\/a>","is_active":false,"user_id":32587,"last_first":"Strauss, Karin","people_section":0,"alias":"kstrauss"},{"type":"user_nicename","value":"shamsi","display_name":"Shamsi Iqbal","author_link":"Shamsi Iqbal<\/a>","is_active":false,"user_id":33592,"last_first":"Iqbal, Shamsi","people_section":0,"alias":"shamsi"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/356813"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/356813\/revisions"}],"predecessor-version":[{"id":733900,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/356813\/revisions\/733900"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=356813"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=356813"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=356813"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=356813"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=356813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}