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 |
| − | + | * 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. |
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| − | * Behaviors include high-level descriptions of purposeful and | ||
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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
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| Dates | Mar 23, 2009 (iCal) - Mar 25, 2009 |
| Homepage: | www.aaai.org/Symposia/Spring/sss09symposia.php#ss04 |
| Location | |
| Location: | Stanford, California, USA |
Loading map... | |
| 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"
| Acronym | AAAI HBM 2009 + |
| End date | March 25, 2009 + |
| Event type | Conference + |
| Has coordinates | 37° 25' 36", -122° 10' 13"Latitude: 37.426541666667 Longitude: -122.17030555556 + |
| Has location city | Stanford + |
| Has location country | Category:USA + |
| Has location state | California + |
| Homepage | http://www.aaai.org/Symposia/Spring/sss09symposia.php#ss04 + |
| IsA | Event + |
| Notification | November 7, 2008 + |
| Start date | March 23, 2009 + |
| Submission deadline | October 3, 2008 + |
| Title | AAAI Spring 2009 Symposium on Human Behavior Modeling + |
