2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)最新文献

{"title":"Service-based situational awareness on the Semantic Web","authors":"Stephen C. Dinkel, W. Hafner, P. Costa, Sumitra Mukherjee","doi":"10.1109/COGSIMA.2013.6523854","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523854","url":null,"abstract":"This research was focused on Endsley's [1] second-level situational awareness (understanding) as it applies to service-oriented information technology environments in the context of the Semantic Web. Specifically, this research addressed the problem of developing accurate situational assessments related to the status or health of IT services especially composite, dynamic IT services, when some of Endsley's [1] first level (perceived) information is inaccurate or incomplete. This research resulted in a Web Ontology Language for Services (OWL-S) and Probabilistic OWL (PR-OWL2) based ontology and an associated Multi-Entity Bayesian Network which are flexible and highly effective in calculating situational assessments through the propagation of posterior probabilities using Bayesian logic. This research (1) identifies sufficient information required for effective situational awareness reasoning, (2) specifies the predicates and semantics necessary to represent service components and dependencies, (3) applies Multi-Entity Bayesian Network to reason with situational awareness information, (4) ensures the correctness and consistency of the situational awareness ontology, and (5) accurately estimates posterior probabilities consistent with situational awareness information.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116832222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced situational awareness in autonomous mobile robots using context-based mapping (October 2012)","authors":"Charles V. Smith, M. V. Doran, R. J. Daigle, T. G. Thomas","doi":"10.1109/COGSIMA.2013.6523836","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523836","url":null,"abstract":"Our institution has on-going research projects which utilize autonomous mobile robots in a variety of settings. These robots navigate and interact with humans and their environment. As part of this effort a framework to integrate the navigational operation and the speech interaction to react to contextual stimuli is provided. This framework provides a system which is easy to configure and modify. The basis of this framework blends the rationale of human nature with the interpretation of sensor inputs. This combination of real-time and environmental information is at the core of having situational awareness. Context-based mapping allows the system to learn an environmental context and how to identify it from real-time interaction. Context-based mapping techniques link data prioritized by contextual value to physical locations on a visual or representative map. This system categorizes objects and events in an adaptive way. By determining the appropriate behavior in a given situation, a mobile robot uses only the relevant knowledge and data. This information is stored to allow both historical and real-time data to be used as appropriate. This approach allows the robot to access the previously collected data for statistical reference. As data are collected from various sensory inputs, the weighted contribution in that context is determined. This research examined the deployment of an autonomous mobile robot. The robot was able to function in the environment, which included both indoor and outdoor settings. Speech was used for input and as response explanations by the robot. The robot was trained initially in a supervised mode, but after the heuristics and adjustments had been reached, the robot was able to balance the sensors appropriately and learn without supervision. The result was a robot that could navigate autonomously and respond to the environment appropriately. Experiments were performed to demonstrate the ability of the robot to function effectively in indoor and outdoor environments and transition between them. The robot was also able to create a defined signature for a location using sensor information. After this training, the robot was able to exhibit situational awareness in dynamic environments, answering numerous questions regarding the state of the surrounding environment.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133308043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Context-based information quality for sequential decision making","authors":"G. Rogova, M. Hadzagic, M. St-Hilaire, M. Florea, P. Valin","doi":"10.1109/COGSIMA.2013.6523818","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523818","url":null,"abstract":"The context-dependent nature of information quality has been well recognized in the literature. Depending on the context, the overall information quality may relate to a single quality attribute, a combination of several, or all the attributes. Selection of quality attributes, methods for their combination as well as quality control strategies require consideration of decision makers' objectives and functions together with context parameters such as characteristics of the environment and current situations. This paper considers such context-dependent information quality attributes, namely, credibility, reliability, and timeliness, and presents a method of incorporating their combination into sequential decision making for pattern recognition. The context is represented by the time-dependent distance between an observed target and a sensor, and a situation-based time-dependent threshold on credibility. A case study involving an evidential learning system for sequential decision making designed for a quantitative evaluation of the described method, is also presented.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133078732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative estimation of the strength of agreements in goal-oriented meetings","authors":"Been Kim, L. Bush, J. Shah","doi":"10.1109/COGSIMA.2013.6523821","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523821","url":null,"abstract":"Ineffective meetings occur frequently and participants leave with different understandings of what has been decided upon. For meetings that require quick responses (e.g., disaster-response planning), everyone must leave the meeting on the same page to ensure the successful execution of the mission. Detecting patterns of weak agreements in planning meetings is the first step towards designing an intelligent agent that encourages team members to revisit decisions that may adversely affect the team's performance, and to spur dialog that results in higher quality plans. This paper presents a statistical approach to learning patterns of strong and weak agreements without using domain-specific content or keywords, meaning the algorithm takes as input information about how the team plans but does not require potentially sensitive data on what is being planned. Our approach applies statistical machine learning to dialog features, which prior studies in cognitive psychology have shown qualitatively capture the level of joint commitment to plan choices. We analyze a real-world conversation dataset, the AMI corpus, to quantitatively verify that dialog features improve the estimation of strength of agreements over prior approaches. We show these results are consistent across a number of different supervised and unsupervised learning algorithms, and that can achieve up to 94% average accuracy in estimating the strength of agreements.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129184928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Situational map integration of dose distribution on the ground surface using Unmanned Aerial Vehicles","authors":"K. Oyama, K. Nakamura, H. Wakabayashi, Atsushi Takeuchi, Naoki Ishitsuka","doi":"10.1109/COGSIMA.2013.6523843","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523843","url":null,"abstract":"Changing amount of radiation dose has become a great concern by citizen in Japan. Rigorous assessment of public safety including inaccessible areas is a key to resolution of this concern. Observation approach in this study is the application of UAV for extensively covering observation points. This paper presents map integration technique to create a distribution map in order for proving public safety at local spots. The distribution map is aggregated data from other online maps. Field test at a farmland is introduced to demonstrate the distribution map of radiation dose with different terrain conditions.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128111615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The “tunnel vision” effect: Structuring of attention and use of digital technologies in Emergency Operation Centers","authors":"Richard Arias-Hernández, Brian D. Fisher","doi":"10.1109/COGSIMA.2013.6523847","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523847","url":null,"abstract":"Preliminary fieldwork conducted in three Emergency Operations Centers (EOCs) in Canada and two in the United States has highlighted the relevance of a phenomenon that is affecting negatively collaborative work and shared situational awareness at EOCs. Namely, the observation that, in technologically dense EOCs, emergency management staff are affected by what emergency managers call “deep immersion” or “tunnel vision.” This phenomenon is characterized by channelized attention to individual interactions with computer-based systems, simultaneous disengagement from cooperative lines of work, and reduction in the use of alternative informational resources. Two consequences of this phenomenon are: reduced awareness of the alignment of other actors' actions with the ongoing situation, and impaired ability to anticipate individual actions that align timely and relevantly with collective ones. In this article, we provide a conceptual and methodological framework to structure the study of this phenomenon in EOCs and some preliminary findings.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127790415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Handling temporal and functional changes for mission impact assessment","authors":"J. Holsopple, S. Yang","doi":"10.1109/COGSIMA.2013.6523850","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523850","url":null,"abstract":"Mission impact assessment for computer networks has become increasingly important as the prevalent cyber assets support more and more mission critical infrastructure for daily operations as well as emergency responses. Existing work lacks comprehensive and systematic treatment and thus may not be able to provide timely assessment. Evolving from a general graphical representation of cyber assets, this work develops a Mission Tree model that adapts to both functional and temporal changes. The proposed approach will be shown to support the estimate of current impact as well as predict future impact based on an efficient upward propagation through the assets and aggregation functions that reflect how assets functionally support different tasks and missions.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing search term strength in spoken term detection","authors":"A. Torbati, J. Picone","doi":"10.1109/COGSIMA.2013.6523832","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523832","url":null,"abstract":"Spoken term detection (STD) is an extension of text-based searching that allows users to type keywords and search audio files containing recordings of spoken language. Performance is dependent on many external factors such as the acoustic channel, the language and the confusability of the search term. Unlike text-based searches, the quality of the search term plays a significant role in the overall perception of the usability of the system. In this paper, we present a system that predicts the strength of a search term from its spelling that is based on an analysis of spoken term detection output from several spoken term detection systems that participated in the NIST 2006 STD evaluation. We show that approximately 57% of the correlation can be explained from the search term, but that a significant amount of the confusability is due to other acoustic modeling issues.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115843696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing bandwidth requirements and optimizing data flow in distributed data acquisition and processing","authors":"J. Preden, L. Motus, R. Pahtma, M. Meriste","doi":"10.1109/COGSIMA.2013.6523844","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523844","url":null,"abstract":"With the advent of new more capable technologies and greater availability of sensing technologies the amount of sensor data available for creating situation awareness is also increasing in an exponential rate. Although technology has provided us with means to have access to more data, the processing methodology has not been able to keep up with that pace. Nature has provided humans and other animals with great means to handle this issue - we do not pay attention to the data that has no relevance to us at a given moment in a given situation. However, provided we observe relevant cues (e.g. danger) to indicate that the situation may be changing or that an entity is of interest we immediately start paying attention, collecting additional detailed information of the phenomena and storing that information for future use. Similar approach would be useful also with modern distributed data acquisition systems catering for our situational information needs - there is no need to process all available data from all sources if the data is not relevant at a given moment in a given situation.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126347094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of policies for agent collaborative decision-making in risk assessment and management of infrastructure networks","authors":"C. Gómez, Diego Castiblanco, M. Sánchez-Silva, L. Dueñas-Osorio","doi":"10.1109/COGSIMA.2013.6523860","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523860","url":null,"abstract":"Physical infrastructure networks are complex distributed systems which are vital for society. The human aspect of decision-making processes makes infrastructure engineering a socio-technical problem, which is commonly carried out in a decentralised way, particularly during major disruptions. The authors previously introduced the Complex Distributed Agent Network (CoDAN) framework for risk-based decision-making in complex systems. When analysing infrastructure systems with CoDAN, traditional physical and network features are combined with organisational decision-making processes involved in their operation. The latter is achieved by assigning agent capabilities to certain sub-units in the network, which are detected via pattern recognition techniques that provide reasonable physical partitions. CoDAN explored coordination amongst agents but did not consider cooperation, which may lead to improvements. This paper explores collaboration amongst CoDAN agents associated to infrastructure network sub-units, which perform risk assessment and make quasi-optimal decisions about network operation. The contribution of this paper is to allow and study information exchange policies amongst agents, determining the implications of which information agents share and with whom they share it. Illustrative examples suggest that interactions amongst agents frequently leads to improvements in their optimisation objectives (e.g., enhancing reliability); further improvements can be obtained by intelligently selecting with which agents to collaborate. For practical applications, it is essential to consider the cost for agents to transmit and process information as well as the possible obstacles to implement such policies in real environments.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127981985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}