{"id":601977,"date":"2019-07-17T09:30:21","date_gmt":"2019-07-17T16:30:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=601977"},"modified":"2019-08-05T14:42:33","modified_gmt":"2019-08-05T21:42:33","slug":"understanding-workplace-well-being-and-productivity-through-sensor-tracking","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/understanding-workplace-well-being-and-productivity-through-sensor-tracking\/","title":{"rendered":"Understanding Workplace Well-Being and Productivity through Sensor Tracking"},"content":{"rendered":"<p>The future of work will involve gaining a deep understanding of people\u2019s workplace experience and use that understanding to develop solutions that improve health, mood, and productivity. Using wearable sensors, computer logging, and experience sampling data, we can analyze digital media use and how attention varies over the workday. Our goal is to leverage this data to design custom interfaces and interventions that people can use to promote well-being and productivity.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The future of work will involve gaining a deep understanding of people\u2019s workplace experience and use that understanding to develop solutions that improve health, mood, and productivity. Using wearable sensors, computer logging, and experience sampling data, we can analyze digital media use and how attention varies over the workday. Our goal is to leverage this [&hellip;]<\/p>\n","protected":false},"featured_media":601983,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13552],"msr-video-type":[238872],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-601977","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-hardware-devices","msr-video-type-faculty-summit","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/lmdm2ty_onQ","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/601977"}],"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":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/601977\/revisions"}],"predecessor-version":[{"id":601980,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/601977\/revisions\/601980"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/601983"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=601977"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=601977"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=601977"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=601977"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=601977"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=601977"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=601977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}