{"id":355256,"date":"2017-01-19T03:03:19","date_gmt":"2017-01-19T11:03:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=355256"},"modified":"2017-01-19T03:03:19","modified_gmt":"2017-01-19T11:03:19","slug":"chatbots-for-young-urban-india","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/chatbots-for-young-urban-india\/","title":{"rendered":"Chatbots for young, urban India"},"content":{"rendered":"

As text-messaging chatbots become increasingly \u201chuman\u201d, it will be important to understand the personal interactions that users are seeking with a chatbot. What chatbot personalities are most compelling to young, urban users in India? To explore this question, we conducted Wizard-of-Oz (WoZ) studies with users that simulated interactions with a hypothetical chatbot. Participants\u00a0were told that there might be a human involved in the chat, although the extent to which the human would be involved was not revealed. We synthesize the results into a set of recommendations for future chatbots.<\/p>\n","protected":false},"excerpt":{"rendered":"

As text-messaging chatbots become increasingly \u201chuman\u201d, it will be important to understand the personal interactions that users are seeking with a chatbot. What chatbot personalities are most compelling to young, urban users in India? To explore this question, we conducted Wizard-of-Oz (WoZ) studies with users that simulated interactions with a hypothetical chatbot. Participants\u00a0were told that […]<\/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":[13556,13568],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-355256","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-technology-for-emerging-markets","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2016-08-01","related-publications":[430710],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"edited_text","value":"Jacki O'Neill (jaoneil)","user_id":32172,"display_name":"Jacki O'Neill (jaoneil)","author_link":"Jacki O'Neill (jaoneil)<\/a>","is_active":false,"last_first":"O'Neill, Jacki","people_section":0,"alias":"jaoneil"}],"msr_research_lab":[199562],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/355256"}],"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":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/355256\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=355256"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=355256"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=355256"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=355256"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=355256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}