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1
Strong Artificial Intelligence and National Security: Operational and Strategic Implications
In: DTIC (2015)
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2
IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
In: DTIC (2015)
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3
Mobile Active Authentication via Linguistic Modalities
In: DTIC (2015)
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4
Uncertainty Can Increase Explanatory Credibility
In: DTIC (2013)
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5
Representing and Reasoning with Functional Knowledge for Spatial Language Understanding
In: DTIC (2011)
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6
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
In: DTIC (2011)
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7
Transfer Learning in Integrated Cognitive Systems
In: DTIC (2010)
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8
Analysis of Discourse Accent and Discursive Practices I&W
In: DTIC (2010)
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9
Transformational Impact of "Digital Natives" on Cultures, Commerce and Societies
In: DTIC (2010)
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10
Plastic Machines: Behavioural Diversity and the Turing Test
Wheeler, Michael. - : Emerald, 2010
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11
Dual-Task Performance with Center-Surround Auditory-Only Displays
In: DTIC (2009)
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12
Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
In: DTIC (2009)
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13
The Use of a Context-Based Information Retrieval Technique
In: DTIC (2009)
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14
A Sensemaking Visualization Tool with Military Doctrinal Elements
In: DTIC (2008)
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15
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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16
Common Navy Warfighting Display Symbology Implementation Guide
In: DTIC (2007)
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17
Error Awareness and Recovery in Conversational Spoken Language Interfaces
In: DTIC (2007)
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18
The Error Is the Clue: Breakdown In Human-Machine Interaction
In: DTIC (2006)
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19
Virtual Rapport
In: DTIC (2006)
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20
Dealing with Out of Domain Questions in Virtual Characters
In: DTIC (2006)
Abstract: We consider the problem of designing virtual characters that support speech-based interactions in a limited domain. Previously we have shown that classification can be an effective and robust tool for selecting appropriate in-domain responses. In this paper, we consider the problem of dealing with out-of-domain user questions. We introduce a taxonomy of out-of-domain response types. We consider three classification architectures for selecting the most appropriate out-of-domain responses. We evaluate these architectures and show that they significantly improve the quality of the response selection making the user's interaction with the virtual character more natural and engaging. ; Presented at the International Conference of Virtual Agents (6th), IVA'06, held in Marina del Rey, CA on 21-23 Aug 2006. Published in proceedings of the same; ISBN 3540375937. The original document contains color images.
Keyword: *ARTIFICIAL INTELLIGENCE; CLASSIFICATION; CLASSIFICATION-BASED ARCHITECTURES; Cybernetics; Linguistics; MAN COMPUTER INTERFACE; Psychology; SPEECH-BASED INTERACTIONS; SYMPOSIA; VIRTUAL HUMANS
URL: http://www.dtic.mil/docs/citations/ADA459219
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459219
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