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SUMMARY:Physically Situated Spoken Language Interaction: Opportunities and
  Challenges - Dan Bohus (Microsoft Research\, Redmond)
DTSTART:20131030T123000Z
DTEND:20131030T133000Z
UID:TALK47243@talks.cam.ac.uk
CONTACT:Rogier van Dalen
DESCRIPTION:*Abstract*\n\nMost research to date on spoken language interac
 tion has focused on dialog with single users in limited\, predefined conte
 xts. Efforts in this space have led to the development and wide-scale depl
 oyment of telephony-based and\, more recently\, mobile voice-search applic
 ations. At the same time\, numerous and important challenges in the realm 
 of physically situated\, open-world interaction have remained largely unad
 dressed. \n\nIn this talk\, I will give an overview of the Situated Intera
 ction project\, a research effort which aims to address these challenges: 
 the long term goal is to enable interactive systems to reason more deeply 
 about their surroundings and embed spoken language interaction into the na
 tural flow of everyday tasks\, activities and collaborations. Specifically
 \, I will outline a core set of computational models required for supporti
 ng spoken language interactions in physically situated settings\, in dynam
 ic\, open\, and relatively unconstrained environments. I will discuss some
  of the challenges these models bring to the fore in areas of representati
 on\, inference and decision making. In the process\, I will highlight a nu
 mber of on-going research efforts\, and discuss and showcase several proto
 type systems we have developed to date. \n\n*Bio*\n\nDan Bohus is a Resear
 cher in the Adaptive Systems and Interaction Group at Microsoft Research. 
 The central question that drives his long term research agenda is: how can
  we develop systems that naturally embed interaction and computation deepl
 y into the flow of everyday tasks\, activities\, and collaborations? Speci
 fically\, in the last few years Dan's work has focused on developing compu
 tational models for multiparty engagement\, turn taking\, interaction plan
 ning\, and on addressing the challenges in inference and decision making t
 hat such models bring to the fore. Prior to joining Microsoft\, Dan obtain
 ed his Ph.D. degree from Carnegie Mellon University\, where his research f
 ocused on problems of dialog management and error handling in speech inter
 faces.\n
LOCATION:Department of Engineering - LR12
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