Difference between revisions of "AAAI HBM 2009"

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methods for creating models of individual and group behavior from data.
 
methods for creating models of individual and group behavior from data.
  
* Models include generative and discriminative statistical models,
+
* Models include generative and discriminative statistical models, relational models, and social network models
    relational models, and social network models
+
* Data includes low-level sensor data (GPS, RFID, accelerometers, physiological measures, etc.), video, speech, and text
* Data includes low-level sensor data (GPS, RFID, accelerometers,
+
* Behaviors include high-level descriptions of purposeful and meaningful activity or abstractions of cognitive and affective states. These include  activities of daily living (e.g., preparing a meal), interaction between small sets of individuals (e.g., having a conversation), mass behavior of groups (e.g. the flow of traffic in a city) and related internal user states.
    physiological measures, etc.), video, speech, and text
 
* Behaviors include high-level descriptions of purposeful and
 
    meaningful activity or abstractions of cognitive and affective
 
    states. These include  activities of daily living (e.g., preparing
 
    a meal), interaction between small sets of individuals (e.g.,
 
    having a conversation), mass behavior of groups (e.g. the flow of
 
    traffic in a city) and related internal user states.
 
  
 
While behavior modeling is part of many research communities, such as
 
While behavior modeling is part of many research communities, such as

Revision as of 20:06, 14 October 2008

AAAI HBM 2009
AAAI Spring 2009 Symposium on Human Behavior Modeling
Dates Mar 23, 2009 (iCal) - Mar 25, 2009
Homepage: www.aaai.org/Symposia/Spring/sss09symposia.php#ss04
Location
Location: Stanford, California, USA
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Important dates
Submissions: Oct 3, 2008
Notification: Nov 7, 2008
Table of Contents


The AAAI 2009 Spring Symposium on Human Behavior Modeling will explore methods for creating models of individual and group behavior from data.

  • Models include generative and discriminative statistical models, relational models, and social network models
  • Data includes low-level sensor data (GPS, RFID, accelerometers, physiological measures, etc.), video, speech, and text
  • Behaviors include high-level descriptions of purposeful and meaningful activity or abstractions of cognitive and affective states. These include activities of daily living (e.g., preparing a meal), interaction between small sets of individuals (e.g., having a conversation), mass behavior of groups (e.g. the flow of traffic in a city) and related internal user states.

While behavior modeling is part of many research communities, such as intelligent user interfaces, machine vision, smart homes for aging in place, discourse understanding, social network analysis, and others, this workshop will be distinguished by its emphasis on exploring general representations and reasoning methods that can apply across many different domains.

Facts about "AAAI HBM 2009"
AcronymAAAI HBM 2009 +
End dateMarch 25, 2009 +
Event typeConference +
Has coordinates37° 25' 39", -122° 10' 13"Latitude: 37.427466666667
Longitude: -122.17024444444
+
Has location cityStanford +
Has location countryCategory:USA +
Has location stateCalifornia +
Homepagehttp://www.aaai.org/Symposia/Spring/sss09symposia.php#ss04 +
IsAEvent +
NotificationNovember 7, 2008 +
Start dateMarch 23, 2009 +
Submission deadlineOctober 3, 2008 +
TitleAAAI Spring 2009 Symposium on Human Behavior Modeling +