{"id":295553,"date":"2020-03-04T08:04:13","date_gmt":"2020-01-29T17:00:09","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=295553"},"modified":"2024-07-08T11:32:27","modified_gmt":"2024-07-08T18:32:27","slug":"project-tokyo","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-tokyo\/","title":{"rendered":"Project Tokyo"},"content":{"rendered":"
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Project Tokyo<\/h1>\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

Project Tokyo aims to understand how to create a visual agent technology that is both useful and usable in the real world by focusing on how AI technology can help to augment people\u2019s own capabilities. Specifically, how can agent technologies amplify existing skills and abilities to help people do more? Project Tokyo explores these questions through human-centric technical innovation, partnering closely with users. The project has worked closely with people who are blind and low vision to concretely anchor our exploration into their needs, interests, and abilities. As early adopters of agent technologies, we have found that blind and low-vision users are particularly well suited for this research.<\/p>\n\n\n\n

Project Tokyo has inspired a wide variety of research: Ethnographic work with Paralympic athletes and spectators guided system concept and design. Work with a team of blind and low-vision users helped to refine interaction approaches. Recent work is exploring how such a system might support blind children building up their social skills. Not least, we are researching how to customize such AI systems through machine teaching techniques so that they are right for the user, regardless of disability label.<\/p>\n\n\n\n

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Past interns<\/h3>\n\n\n\n

Lee Stearns (opens in new tab)<\/span><\/a>
Arthur Carabott (opens in new tab)<\/span><\/a>
Ruixue Liu (opens in new tab)<\/span><\/a>
Stephan Garbin (opens in new tab)<\/span><\/a>
Thomas Roddick (opens in new tab)<\/span><\/a>
Cynthia Bennett (opens in new tab)<\/span><\/a>
Harshadha Balasubramanian (opens in new tab)<\/span><\/a>
Daniel \u200bCoelho de Castro\u200b (opens in new tab)<\/span><\/a>
Vasiliki Kladouchou (opens in new tab)<\/span><\/a>
Geert Roumen (opens in new tab)<\/span><\/a>
Kai Arulkumaran (opens in new tab)<\/span><\/a>
Elena Falomo (opens in new tab)<\/span><\/a>
Christian A. Naesseth (opens in new tab)<\/span><\/a>
Daniela Massiceti (opens in new tab)<\/span><\/a>
Esben S\u00f8rig (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

PhD students<\/h3>\n\n\n\n

Luisa Zintgraf (opens in new tab)<\/span><\/a>
Esben S\u00f8rig (opens in new tab)<\/span><\/a>
Sarah Bennett (opens in new tab)<\/span><\/a><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"

Project Tokyo aims to understand how to create a visual agent technology that is both useful and usable in the real world by focusing on how AI technology can help to augment people\u2019s own capabilities.<\/p>\n","protected":false},"featured_media":633282,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13562,13545,13554],"msr-locale":[268875],"msr-impact-theme":[261667],"msr-pillar":[],"class_list":["post-295553","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-human-language-technologies","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[633447,853434,774382,774328,757495,752956,717130,691599,638919,431538,633438,633429,593947,593941,574524,488048,463683],"related-downloads":[],"related-videos":[748942],"related-groups":[283244,371909],"related-events":[641895],"related-opportunities":[],"related-posts":[562767,598893,657531,747019,823765,965166,994098],"related-articles":[],"tab-content":[{"id":0,"name":"Past collaborators","content":"

Past Interns<\/h3>\r\nLee Stearns<\/a>\r\nArthur Carabott<\/a>\r\nRuixue Liu<\/a>\r\nStephan Garbin<\/a>\r\nThomas Roddick<\/a>\r\nCynthia Bennett<\/a>\r\nHarshadha Balasubramanian<\/a>\r\nDaniel \u200bCoelho de Castro\u200b<\/a>\r\nVasiliki Kladouchou<\/a>\r\nGeert Roumen<\/a>\r\nKai Arulkumaran<\/a>\r\nElena Falomo<\/a>\r\nChristian A. Naesseth<\/a>\r\nDaniela Massiceti<\/a>\r\nEsben S\u00f8rig<\/a>\r\n

PhD Students<\/h3>\r\nLuisa Zintgraf<\/a>\r\nEsben S\u00f8rig<\/a>\r\nSarah Bennett<\/a>"}],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Ed Cutrell","user_id":31490,"people_section":"Project members","alias":"cutrell"},{"type":"user_nicename","display_name":"Martin Grayson","user_id":32893,"people_section":"Project members","alias":"mgrayson"},{"type":"user_nicename","display_name":"Camilla Longden","user_id":36311,"people_section":"Project members","alias":"calongde"},{"type":"user_nicename","display_name":"Cecily Morrison","user_id":31356,"people_section":"Project members","alias":"cecilym"},{"type":"user_nicename","display_name":"Katja Hofmann","user_id":32468,"people_section":"Past members","alias":"kahofman"},{"type":"user_nicename","display_name":"Advait Sarkar","user_id":37146,"people_section":"Past members","alias":"advait"},{"type":"user_nicename","display_name":"David Sweeney","user_id":31553,"people_section":"Past members","alias":"dasweene"},{"type":"guest","display_name":"Alex Taylor","user_id":633402,"people_section":"Past members","alias":""},{"type":"user_nicename","display_name":"Anja Thieme","user_id":35948,"people_section":"Past members","alias":"anthie"},{"type":"guest","display_name":"Sebastian Tschiatschek","user_id":633534,"people_section":"Past members","alias":""},{"type":"guest","display_name":"Peter Bosher","user_id":636300,"people_section":"External collaborators","alias":""},{"type":"guest","display_name":"Rebecca Fiebrink","user_id":434226,"people_section":"External collaborators","alias":""},{"type":"guest","display_name":"Ewa Luger","user_id":633411,"people_section":"External collaborators","alias":""},{"type":"guest","display_name":"Linda Pring","user_id":633543,"people_section":"External collaborators","alias":""},{"type":"guest","display_name":"Shimon Whiteson","user_id":633408,"people_section":"External collaborators","alias":""}],"msr_research_lab":[199561],"msr_impact_theme":["Empowerment"],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/295553","targetHints":{"allow":["GET"]}}],"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":23,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/295553\/revisions"}],"predecessor-version":[{"id":1109727,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/295553\/revisions\/1109727"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/633282"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=295553"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=295553"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=295553"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=295553"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=295553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}