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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=multimodal">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=multimodal]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for multimodal]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/68/Data-Management-in-Ad-Hoc-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1205/Impostors-Among-Us-An-Agentic-Approach-to-Identifying-and-Resolving-Conflicts-in-Collaborative-Network-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/114/The-Integrality-of-Speech-in-Multimodal-Interfaces"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/574/The-Effect-of-Perceptual-Structure-on-Multimodal-Speech-Recognition-Interfaces"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/258/Acceptance-of-a-Speech-Interface-for-Biomedical-Data-Collection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/199/Speech-Input-in-Multimodal-Environments-Effects-of-Perceptual-Structure-on-Speed-Accuracy-and-Acceptance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/259/Task-Integration-in-Multimodal-Speech-Recognition-Environments"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges">
  <title><![CDATA[Cyber-Physical Social Systems: Research Challenges]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges</link>
  <description><![CDATA[We are witnessing a new revolution in computing and communication. The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. The next generation of networks will utilize a wide variety of resources with significant sensing capabilities. Such networks will extend beyond physically linked computers to include multimodal information from biological, cognitive, semantic, and social networks. This paradigm shift will...]]></description>
  <dc:date>2012-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/68/Data-Management-in-Ad-Hoc-Networks">
  <title><![CDATA[Data Management in Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/68/Data-Management-in-Ad-Hoc-Networks</link>
  <description><![CDATA[Emergence of low power short-range wireless technologies, availabilty of
cheap and abundant storage, and enhanced multimodal interfaces for mobile
devices is an encouraging trend that further motivates use of ad hoc
networks. Ad Hoc networks are highly dynamic and thus serendipitous.
Getting prompt and reliable answers to queries in such environments is a
challenging problem. We present related work on trust, consistency and
location in peer-to-peer networks and conventional filesystems...]]></description>
  <dc:date>2004-11-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers">
  <title><![CDATA[Emerging Technologies from IBM Research for Mobile Workers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers</link>
  <description><![CDATA[This talk will include a presentation of several emerging technologies
from IBM Research related to supporting the way knowledge workers work
today including:

 MySpace, a web portal solution that supports personalized,
     role-based access to aplications through an interactive
     visualization of the physical space. MySpace combines localization
     information for colleagues, rooms and devices while aggregating
     data from various sources through a novel and simplified inter...]]></description>
  <dc:date>2004-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing">
  <title><![CDATA[Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing</link>
  <description><![CDATA[Disaster response requires sharing heterogeneous artifacts, from tabular assistance records to UAS imagery, under overlapping privacy mandates. Operational systems often reduce compliance to binary access control, which is brittle in time-critical workflows. We present a novel deontic knowledge graph-based framework that integrates a Disaster Management Knowledge Graph (DKG) with a Policy Knowledge Graph (PKG) derived from IoT-Reg and FEMA/DHS privacy drivers. Our release decision function su...]]></description>
  <dc:date>2026-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1205/Impostors-Among-Us-An-Agentic-Approach-to-Identifying-and-Resolving-Conflicts-in-Collaborative-Network-Environments">
  <title><![CDATA[Impostors Among Us: An Agentic Approach to Identifying and Resolving Conflicts in Collaborative Network Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1205/Impostors-Among-Us-An-Agentic-Approach-to-Identifying-and-Resolving-Conflicts-in-Collaborative-Network-Environments</link>
  <description><![CDATA[Today’s networked cyber-physical environments contain a wide range of agents, including fixed sensors, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs), which help accomplish the objective(s) of a given mission. These collaborating agents support informed decision making for humans to accomplish mission objectives such as surveillance or search and rescue. However, these agents and their sensors are subject to various failures, including power, communication, hardware, a...]]></description>
  <dc:date>2025-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities">
  <title><![CDATA[Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1150/Multimodal-Language-Learning-for-Object-Retrieval-in-Low-Data-Regimes-in-the-Face-of-Missing-Modalities</link>
  <description><![CDATA[Our study is motivated by robotics, where when dealing with robots or other physical systems, we often need to balance competing concerns of relying on complex, multimodal data coming from a variety of sensors with a general lack of large representative datasets.  Despite the complexity of modern robotic platforms and the need for multimodal interaction, there has been little research on integrating more than two modalities in a low data regime with the real-world constraint that sensors fail...]]></description>
  <dc:date>2023-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning">
  <title><![CDATA[Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning</link>
  <description><![CDATA[Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is a major area of research in robotics, NLP, and HCI. In practice, the data used for learning consists almost entirely of textual descriptions, which tend to be cleaner, clearer, and more grammatical than actual human interactions. In this work, we present the Grounded Language Dataset (GoLD), a multimodal dataset of common household objects described by people using either spoken or w...]]></description>
  <dc:date>2020-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/114/The-Integrality-of-Speech-in-Multimodal-Interfaces">
  <title><![CDATA[The Integrality of Speech in Multimodal Interfaces]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/114/The-Integrality-of-Speech-in-Multimodal-Interfaces</link>
  <description><![CDATA[A framework of complementary behavior has been proposed, which maintains that direct manipulation and speech interfaces have reciprocal strengths and weaknesses. This suggests that user interface performance and acceptance may increase by adopting a multimodal approach that combines speech and direct manipulation. This effort examined the hypothesis that the speed, accuracy, and acceptance of multimodal speech and direct manipulation interfaces will increase when the modalities match the perc...]]></description>
  <dc:date>1998-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/574/The-Effect-of-Perceptual-Structure-on-Multimodal-Speech-Recognition-Interfaces">
  <title><![CDATA[The Effect of Perceptual Structure on Multimodal Speech Recognition Interfaces]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/574/The-Effect-of-Perceptual-Structure-on-Multimodal-Speech-Recognition-Interfaces</link>
  <description><![CDATA[A framework of complementary behavior has been proposed which maintains that direct
manipulation and speech interfaces have reciprocal strengths and weaknesses. This suggests that
user interface performance and acceptance may increase by adopting a multimodal approach that
combines speech and direct manipulation. This effort examined the hypothesis that the speed,
accuracy, and acceptance of multimodal speech and direct manipulation interfaces will increase
when the modalities match the ...]]></description>
  <dc:date>1998-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/258/Acceptance-of-a-Speech-Interface-for-Biomedical-Data-Collection">
  <title><![CDATA[Acceptance of a Speech Interface for Biomedical Data Collection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/258/Acceptance-of-a-Speech-Interface-for-Biomedical-Data-Collection</link>
  <description><![CDATA[Speech interfaces have the potential to address the data entry bottleneck of many applications in the field of medical informatics. An experimental study evaluated the effect of perceptual structure on a multimodal speech interface for the collection of histopathology data. A perceptually structured multimodal interface, using speech and direct manipulation, was shown to increase speed and accuracy. Factors influencing user acceptance are also discussed.]]></description>
  <dc:date>1997-10-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/199/Speech-Input-in-Multimodal-Environments-Effects-of-Perceptual-Structure-on-Speed-Accuracy-and-Acceptance">
  <title><![CDATA[Speech Input in Multimodal Environments: Effects of Perceptual Structure on Speed, Accuracy, and Acceptance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/199/Speech-Input-in-Multimodal-Environments-Effects-of-Perceptual-Structure-on-Speed-Accuracy-and-Acceptance</link>
  <description><![CDATA[A framework of complementary behavior has been identified which maintains that direct manipulation and speech interface modalities have reciprocal strengths and weaknesses. This suggests that user interface performance and acceptance may increase by adopting a multimodal approach that combines speech and direct manipulation. Based on this concept and the theory of perceptual structures, this work examined the hypothesis that the speed, accuracy, and acceptance of a multimodal speech and direc...]]></description>
  <dc:date>1997-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/259/Task-Integration-in-Multimodal-Speech-Recognition-Environments">
  <title><![CDATA[Task Integration in Multimodal Speech Recognition Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/259/Task-Integration-in-Multimodal-Speech-Recognition-Environments</link>
  <description><![CDATA[A model of complementary behavior has been proposed based on arguments that direct manipulation and speech recognition interfaces have reciprocal strengths and weaknesses. This suggests that user interface performance and acceptance may increase by adopting a multimodal approach that combines speech and direct manipulation. More theoretical work is needed in order to understand how to leverage this advantage. In this paper, a framework is presented to empirically evaluate the types of tasks t...]]></description>
  <dc:date>1997-04-01</dc:date>
 </item>
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