{"id":638886,"date":"2001-02-24T14:37:08","date_gmt":"2001-02-24T22:37:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=638886"},"modified":"2021-08-11T11:51:24","modified_gmt":"2021-08-11T18:51:24","slug":"information-agents-directions-and-futures-2001","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/information-agents-directions-and-futures-2001\/","title":{"rendered":"Information Agents: Directions and Futures (2001)"},"content":{"rendered":"<p>In this internal Microsoft video, produced in 2001 and released publicly in 2020, research scientist Eric Horvitz provides glimpses of a set of research systems developed within Microsoft\u2019s research division between 1998 and 2001. Projects featured in the video include <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/attention-sensitive-alerting\/\">Priorities<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/principles-mixed-initiative-user-interfaces-2\/\" rel=\"noopener noreferrer\">Lookout<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/models-attention-computing-communication-principles-application\/\" target=\"_blank\" rel=\"noopener noreferrer\">Notification Platform<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deeplistener-harnessing-expected-utility-guide-clarification-dialog-spoken-language-systems\/\" rel=\"noopener noreferrer\">DeepListener<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/experiences-with-the-design-fielding-and-evaluation-of-a\/\" rel=\"noopener noreferrer\">Bestcom<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. The projects show early uses of machine learning, perception, and reasoning aimed at supporting people in daily tasks and at making progress on longer-term missions of augmenting human intellect. The efforts are thematically related in their pursuit of broader understandings of people and context, including a person\u2019s attention, goals, activities, and location, via multimodal signals, involving the analysis of multiple streams of information. Several of the prototype systems were built within the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/models-attention-computing-communication-principles-application\/\" rel=\"noopener noreferrer\">Attentional User Interface (AUI) project<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, which had focused on using machine learning and reasoning to understand a computer users\u2019 cognitive load, changing focus of attention, and information needs across multiple devices (<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/archive.nytimes.com\/www.nytimes.com\/library\/tech\/00\/07\/biztech\/articles\/17lab.html\" target=\"_blank\" rel=\"noopener noreferrer\">NYTimes article, 2000)<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this internal Microsoft video, produced in 2001 and released publicly in 2020, research scientist Eric Horvitz provides glimpses of a set of research systems developed within Microsoft\u2019s research division between 1998 and 2001. Projects featured in the video include Priorities, Lookout, Notification Platform, DeepListener, and Bestcom. The projects show early uses of machine learning, [&hellip;]<\/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":[13556,13554,13555],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-638886","msr-video","type-msr-video","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/1KYxJMU8ks4","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/638886"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/638886\/revisions"}],"predecessor-version":[{"id":639051,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/638886\/revisions\/639051"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=638886"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=638886"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=638886"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=638886"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=638886"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=638886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}