2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)最新文献_第2页

Effect of personality traits on trust and risk to phishing vulnerability: Modeling and analysis 人格特质对信任和网络钓鱼漏洞风险的影响:建模与分析

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497779

Jin-Hee Cho, H. Çam, A. Oltramari

{"title":"Effect of personality traits on trust and risk to phishing vulnerability: Modeling and analysis","authors":"Jin-Hee Cho, H. Çam, A. Oltramari","doi":"10.1109/COGSIMA.2016.7497779","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497779","url":null,"abstract":"In cyberspace, various types of social engineering attacks have made humans in a system more vulnerable than ever. One of the popular social engineering attacks is a phishing attack, exploiting humans' vulnerability in order to obtain individuals' private or credential information. Recent studies have found that the so called `phishing susceptibility' (i.e., the likelihood of being phished) is closely correlated with the individuals' personality traits. In particular, the relations between phishing susceptibility and Big Five personality traits have been analyzed via empirical studies in diverse domains. However, little prior work has proposed a mathematical model investigating the effect of an individual's personality traits on perceived trust or risk and decision performance. This work proposes a probability model using Stochastic Petri Nets in order to examine the effect of an individual human's personality traits on perceived trust and risk, and decision performance. Our results show that agreeableness and neuroticism have significant effect on perceived trust and risk, and decision performance particularly when openness and conscientiousness is very low. The developed mathematical model can be applied to predict what personality profiles in an organization are more exposed to social engineering, suggesting customized security training scenarios.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133665632","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}

引用次数: 42

The importance of psychophysiological methods in identifying and mitigating degraded situation awareness 心理生理学方法在识别和减轻情境意识退化中的重要性

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497794

K. Drnec, Amar R. Marathe, J. Metcalfe, Kristin E. Schaefer

{"title":"The importance of psychophysiological methods in identifying and mitigating degraded situation awareness","authors":"K. Drnec, Amar R. Marathe, J. Metcalfe, Kristin E. Schaefer","doi":"10.1109/COGSIMA.2016.7497794","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497794","url":null,"abstract":"Herein we delineate the relationship between poor joint human automation interaction (HAI) system performance and situation awareness (SA) focusing on the effect of system design. Degraded SA is one reason that human users make poor interaction decisions that cause joint system performance to suffer. One key reason for degraded SA is the hierarchical design where the human user is at the apex of the command hierarchy. Within this structure the human user is not able to be fully integrated into the system, which can lead to `out of the loop' performance issues. We propose that SA could be measured in real time by leveraging psychophysiological methods often used in cognitive neuroscience research. We then discuss a potential framework that could not only identify degraded SA in real time, but could mitigate these degradations. Such a framework would be successful because it would genuinely integrate the human user into the system, essentially closing the loop that underlies joint system failures.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115689346","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}

引用次数: 0

Cognitive biases in humanitarian sensemaking and decision-making lessons from field research 认知偏差在人道主义意义和决策的经验教训，从实地研究

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497786

T. Comes

{"title":"Cognitive biases in humanitarian sensemaking and decision-making lessons from field research","authors":"T. Comes","doi":"10.1109/COGSIMA.2016.7497786","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497786","url":null,"abstract":"Time and again, humanitarian decision-makers are confronted with stress and pressure, distorted, lacking and uncertain information, and thus they are working in conditions that are known to introduce or enforce biases. Decision analysis has been designed to overcome such biases, and a network of “digital responders” organized over the Internet has set out to improve judgments by providing better information. However, without any structured support to determine objectives, goals and preferences and detached from the context of operational decision-makers, remote analysts may face the very biases they are trying to help overcome. This article sets out to identify biases that matter for humanitarian decision support, reflecting on the role of field-based decision-makers and digital responders. The most important biases are reviewed to provide an assessment on their role in the course of a disaster response. To this end, a literature review is combined with results from fieldwork in three humanitarian disasters. I identify areas that are particularly sensitive to reinforced biases, and others, where digital volunteers can likely help, and conclude the paper with an agenda for future research.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126066419","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}

引用次数: 47

MoBI-Box: A next generation Mobile Brain-Body Imaging Platform MoBI-Box:下一代移动脑-体成像平台

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497793

Ying Choon Wu, Jeffery Wang, Andrew Tran, Alex Schperberg, John Caldwell, T. Jung, Po-Chih Kuo

引用次数: 0

Team communication behaviors of the human-automation teaming 人-自动化团队的团队沟通行为

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497782

Mustafa Demir, Nathan J. Mcneese, Nancy J. Cooke

{"title":"Team communication behaviors of the human-automation teaming","authors":"Mustafa Demir, Nathan J. Mcneese, Nancy J. Cooke","doi":"10.1109/COGSIMA.2016.7497782","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497782","url":null,"abstract":"If synthetic teammates are to be considered “team players”, then they must be better equipped to handle the subtleties of communication and coordination with their human teammates. In this study, the team communication behaviors of a human-automation team were analyzed for the identification of which are the best predictors of team performance. The LASSO (Least Absolute Shrinkage and Selection Operator) method was used to select the team communication behaviors that were the best predictors of team performance and, in the end, 16 such role related communication behaviors (at both the role and condition level) were included in the final model. Findings indicate that in general, negatively perceived communication behaviors are predictors of negative team performance. Through this study, we also learned that even when human team members follow their optimal and expected communication behaviors when communicating with a synthetic teammate, these behaviors are still predictors of negative team performance. This finding holds important future considerations: even if human team members are properly communicating with a synthetic teammate, the errors and lack of human-like behavior on the part of the latter can still result in a negative team performance.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131909368","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}

引用次数: 35

Human understanding of Controlled Natural Language in simulated tactical environments 模拟战术环境中人类对受控自然语言的理解

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497799

Erin G. Zaroukian

{"title":"Human understanding of Controlled Natural Language in simulated tactical environments","authors":"Erin G. Zaroukian","doi":"10.1109/COGSIMA.2016.7497799","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497799","url":null,"abstract":"Computational platforms with natural language interfaces have become commonplace, but they present limitations that make them less than ideal for military and other safety-critical environments. Controlled Natural Languages (languages built from a subset of natural language, which are both computer- and human-readable) hold promise for Human-Computer Collaboration via these platforms, especially when the human user needs to add information to a knowledgebase or make queries, as they provide a transparent, shared representation. Controlled Natural Languages, however, are typically not optimized for human use and understanding. This paper presents the development and implementation of a framework to test the relative ease of comprehension of different Controlled Natural Language statements. The experiments presented in this paper show an advantage for one particular Controlled Natural Language statement over another, but only when responses are made under strict time pressure. These types of experiments allow researchers to make recommendations on how to improve the use and design of a Controlled Natural Language for more robust comprehension, particularly in tactical environments.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810248","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}

引用次数: 2

Situations, identity, and the Semantic Web 情境、身份和语义网

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497796

Yenny Dominguez, William Nick, A. Esterline

{"title":"Situations, identity, and the Semantic Web","authors":"Yenny Dominguez, William Nick, A. Esterline","doi":"10.1109/COGSIMA.2016.7497796","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497796","url":null,"abstract":"We present a prototype of a computational framework for identity based on situation theory as developed by Barwise et al. Taking our cue from Kokar's Situation Theory Ontology (STO), we use Semantic Web standards to capture the information present in a constellation of situations that relate to identity attributions. We do so in a way that supports cross-situation queries and reasoning. Our ontology, however, differs substantially from STO. Central to our account are id-situations, where an id-action (pronouncing on the identity of an agent) is performed. Our account focuses on evidence, provenance of information, and appropriate actions that back evidence, so we also address situations that support id-situations by providing artifacts, collecting evidence, and generally enabling and informing id-actions. We note that Semantic Web resources are ideal for representing situations since the Semantic Web is open and situations are partial information structures. Situations in our application area, while not dynamic like those typically of interest in studies of situation awareness, like them, rely on trust in automation and in our collaborators. In presenting a computational approach to identity, this paper shows how situations can be used to model the support we have for judgments and how Semantic Web standards can be used to represent and reason about constellations of situations.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122452689","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}

引用次数: 5

Integrating GSO and SAW ontologies to enable Situation Awareness in Green Fleet Management 整合GSO和SAW本体，实现绿色舰队管理中的态势感知

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497801

Giuseppe D’aniello, Angelo Gaeta, V. Loia, F. Orciuoli

引用次数: 13

Assessing multidimensional complex decision making with Situational Judgment Tests 用情景判断测试评估多维复杂决策

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497785

L. Reinerman-Jones, G. Teo

{"title":"Assessing multidimensional complex decision making with Situational Judgment Tests","authors":"L. Reinerman-Jones, G. Teo","doi":"10.1109/COGSIMA.2016.7497785","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497785","url":null,"abstract":"The decisions that humans make are often multidimensional and complex, and system aids have been developed to support decision-making. However it is often difficult to evaluate the decision making of both the human or these system decision aids as decision making is a skill that is difficult to quantify. Traditionally, decision-making skill is assessed primarily through tasks or questionnaires. The challenge with those approaches is that measures of decision-making skill are often unidimensional. The Situation Judgment Test (SJT) is multidimensional and comprises scenarios obtained from accounts of real-world experiences, each with response options from which respondents select the most effective response. Although SJTs often show criterion-validity, this is typically obtained from post-hoc analysis. The present study seeks to evaluate the dimensionality of SJT scenarios, which are based on real-world decisions that are akin to the type of decisions that decision support systems seek to aid with. Fifteen SJT scenarios were administered to 94 participants, along with several measures of dimensions deemed relevant to real-world decision making. Most of the dimensions were able to predict performance on at least one scenario. Certain dimensions seemed to predict performance on more scenarios than others did. The results indicated that the SJT scenarios were able to incorporate some dimensions relevant to decision making. Future research should examine other measures for evaluating SJTs prior to using them to assess decision making.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134312502","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}

引用次数: 1

Timing within human-agent interaction and its effects on team performance and human behavior 人-代理交互中的时机及其对团队绩效和人类行为的影响

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2016-03-21 DOI: 10.1109/COGSIMA.2016.7497783

Tyler J. Goodman, Michael E. Miller, Christina F. Rusnock, Jason M. Bindewald

引用次数: 11