{"id":578422,"date":"2020-02-28T11:03:22","date_gmt":"2019-05-07T22:16:28","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=578422"},"modified":"2024-11-05T11:20:10","modified_gmt":"2024-11-05T19:20:10","slug":"human-understanding-and-empathy","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/human-understanding-and-empathy\/","title":{"rendered":"HUE: Human Understanding and Empathy"},"content":{"rendered":"
\n\t
\n\t\t
\n\t\t\t\"Human\t\t<\/div>\n\t\t\n\t\t
\n\t\t\t\n\t\t\t
\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tReturn to Microsoft Research Lab – Redmond\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n

HUE: Human Understanding and Empathy<\/h1>\n\n\n\n

Inventing new technologies that promote emotional resilience and well-being<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n

The mission of the HUE team is to empower people by inventing new technologies that promote emotional resilience and well-being. We achieve this by developing ideas and technologies that lead to systems having a richer understanding of people\u2019s knowledge, capabilities and context, and thus fueling intelligent systems and experiences that improve people\u2019s lives.<\/p>\n\n\n\n

Emotions are fundamental to human interaction and they influence learning, memory, decision-making, well-being, and other aspects of our lives. Computing can be a powerful tool in enabling people to be more productive, healthier, emotionally resilient. By using intelligent systems that leverage behavioral, contextual and physiological signals, we can build emotionally responsible systems. We are an interdisciplinary team working on different areas including HCI, Machine Learning, Psychology, and we are passionate about bringing emotional intelligence to technology.<\/p>\n\n\n\n

Workplace stress in our modern society has been quickly increasing during the last few decades which has only worsened by the unique demands imposed by COVID and remote\/hybrid work settings. These conditions are detrimental to the mental health and wellness of workers and lead to huge business costs in terms of productivity and medical costs around the world. To help alleviate this problem, the HUE team is advancing research in five main topic areas.<\/p>\n\n\n\n

\n\t\n\t
\n\t\t
\n\t\t\t

Our areas of focus<\/h3>\n\n\n\n
\n
\n

Passive sensing<\/strong><\/p>\n\n\n\n

Creating new sensing methods to comfortably capture relevant information about the user\u2019s stress (e.g., respiration, heart rate variability).<\/p>\n<\/div>\n\n\n\n

\n

Contextualized understanding<\/strong><\/p>\n\n\n\n

Developing effective methods to aggregate multimodal user and contextual data in a personalized and meaningful manner to understand stress.<\/p>\n<\/div>\n\n\n\n

\n

Personalized interaction<\/strong><\/p>\n\n\n\n

Evaluating different types of potential support considering the originating source of stress, work habits, and users\u2019 preferences.<\/p>\n<\/div>\n\n\n\n

\n

Human-AI collaboration<\/strong><\/p>\n\n\n\n

Designing meaningful interactions between the sensing, analytics, and recommendation systems and the users whose data the systems are reasoning about.<\/p>\n<\/div>\n\n\n\n

\n

Affective computing ethics<\/strong><\/p>\n\n\n\n

Defining appropriate uses of AI in the context of Affective Computing to help support users while ensuring their maximum privacy and respect.<\/p>\n<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"

The mission of the Human Understanding and Empathy group is to develop new technologies to promote emotional resilience and wellbeing such that every person can achieve more.<\/p>\n","protected":false},"featured_media":584578,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"2019-05-07","footnotes":""},"research-area":[13554],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[261667,261673,261670],"class_list":["post-578422","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-human-computer-interaction","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"2019-05-07","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199565],"related-researchers":[{"type":"user_nicename","display_name":"Judith Amores","user_id":42003,"people_section":"Research Team","alias":"judithamores"},{"type":"user_nicename","display_name":"Javier Hernandez","user_id":38413,"people_section":"Research Team","alias":"javierh"},{"type":"user_nicename","display_name":"Jenna Butler","user_id":39979,"people_section":"Collaborators","alias":"jennbu"},{"type":"user_nicename","display_name":"Tony Carbary","user_id":34252,"people_section":"Collaborators","alias":"tony"},{"type":"user_nicename","display_name":"Nick Craswell","user_id":33088,"people_section":"Collaborators","alias":"nickcr"},{"type":"user_nicename","display_name":"Brian Houck","user_id":43092,"people_section":"Collaborators","alias":"bhouck"},{"type":"user_nicename","display_name":"Shamsi Iqbal","user_id":33592,"people_section":"Collaborators","alias":"shamsi"},{"type":"user_nicename","display_name":"ThuVan Pham","user_id":34038,"people_section":"Collaborators","alias":"thuvanp"},{"type":"user_nicename","display_name":"Vanessa Rodrigues","user_id":40585,"people_section":"Collaborators","alias":"VRODRIGUESVA"},{"type":"user_nicename","display_name":"Sameer Segal","user_id":40861,"people_section":"Collaborators","alias":"sameersegal"},{"type":"user_nicename","display_name":"Robert Sim","user_id":36650,"people_section":"Collaborators","alias":"rsim"},{"type":"user_nicename","display_name":"Ivan Tashev","user_id":32127,"people_section":"Collaborators","alias":"ivantash"},{"type":"user_nicename","display_name":"Paul Thomas","user_id":36042,"people_section":"Collaborators","alias":"pathom"},{"type":"user_nicename","display_name":"Cha Zhang","user_id":31379,"people_section":"Collaborators","alias":"chazhang"}],"related-publications":[580846,584560,556293,475485,475509,481452,465426,450840,481419,481434,424284,428883,432087,452322,417221,481389,422487,373970,318926,332360,301436,301442,311249,238039,279995,162644,238018,238239,238240,238016,238017,215360,215361,215362,168404,301457,168420,301481,301469,301559,168485,166802,166217,166216,332573,164759,164611,301604,301610,385193,478359,576789,601428,634857,636882,638586,641715,641829,646842,655611,657327,657810,662283,662298,672366,688704,697354,718483,719014,719026,719092,730765,735382,740875,740884,763630,764092,771976,809032,833755,864429,864441,889614,894198,926838,926904,926943,936759,936822,941505,977235,977535,1011228,1016364,1023219,1029741,1032156,1032162,1032192,1040529,1050837,1088169,1150394,1150396,1150400,1150403,1150407,1150412,1150415,1150603,1150608,1150610,1150618,1150621,1150623],"related-downloads":[],"related-videos":[181819,181848,181910,182021,182026,182066,182161,182179,182287,182362,182438,182446,182514,182522,182541,182762,182953,182982,182984,183007,183157,183159,466320,374009,348779,306980,301820,284156,215017,192608,191990,191266,190646,190309,190019,189687,189522,189444,189232,189180,187776,184584,184564,184562,842743,841813,841423,841405,733273,726346,646200,629385,603864,602913],"related-projects":[611829,612117,280394],"related-events":[705430],"related-opportunities":[],"related-posts":[410,235421,307076,307289,479538,472518,611316,680358,940410,949350,958119,1015200,1059168],"tab-content":[],"msr_impact_theme":["Empowerment","Health","Resilience"],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/578422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":37,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/578422\/revisions"}],"predecessor-version":[{"id":1157545,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/578422\/revisions\/1157545"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/584578"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=578422"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=578422"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=578422"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=578422"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=578422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}