{"id":1134904,"date":"2025-03-21T09:50:57","date_gmt":"2025-03-21T16:50:57","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=1134904"},"modified":"2025-03-21T09:54:14","modified_gmt":"2025-03-21T16:54:14","slug":"situated-interaction-overview","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/situated-interaction-overview\/","title":{"rendered":"Situated Interaction overview"},"content":{"rendered":"<p>Interacting with computers via natural language is an enduring aspiration in artificial intelligence. The earliest attempts at dialog between computers and people were <em>text-based dialog systems<\/em>, such as Eliza [Weizenbaum 1966], a pattern-matching chat-bot that emulated a psychotherapist, and SHRLDU [Winograd 1971], a natural language understanding system that allowed interactions with a blocks world. Over the years, progress in large vocabulary speech recognition, natural language understanding, and speech synthesis have enabled the addition of speech capabilities. Attention shifted toward nurturing a new class of task-oriented spoken dialog systems, in which usere interact with a system via spoken language over multiple turns to accomplish specific tasks. Examples include the ATIS [Pallett et al. 1992] and Communicator projects [Walker et al. 2002], which aimed to provide information and make reservations for flights and hotels, the TRIPS system [Ferguson and Allen 1999] which explored collaborative planning tasks in various logistics domains, and CALO [Tur et al. 2010], which aimed to construct a personal assistant. The accumulated body of research and technical progress in <em>task-oriented spoken dialog systems<\/em> led to the personal assistants that are embedded in mobile phones, such as Siri, Google Assistant, and Cortana. More recently, these technologies have been deployed into fixed, standalone devices and smart speaker platforms running Alexa, Cortana, and Google Home.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interacting with computers via natural language is an enduring aspiration in artificial intelligence. The earliest attempts at dialog between computers and people were text-based dialog systems, such as Eliza [Weizenbaum 1966], a pattern-matching chat-bot that emulated a psychotherapist, and SHRLDU [Winograd 1971], a natural language understanding system that allowed interactions with a blocks world. Over [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193721],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[246691],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1134904","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-field-of-study-computer-science"],"msr_publishername":"Association for Computing Machinery and Morgan & 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