2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)最新文献

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Adaptive Situational Leadership Framework 适应性情境领导框架

2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) Pub Date : 2018-06-01 DOI: 10.1109/COGSIMA.2018.8423977

Noam Ben-Asher, Jin-Hee Cho, Sibel Adali

{"title":"Adaptive Situational Leadership Framework","authors":"Noam Ben-Asher, Jin-Hee Cho, Sibel Adali","doi":"10.1109/COGSIMA.2018.8423977","DOIUrl":"https://doi.org/10.1109/COGSIMA.2018.8423977","url":null,"abstract":"This work proposes an adaptive leadership framework that provides intelligent decision making solutions for a leader to provide cost-effective feedback to followers with different levels of mission readiness. Useful, timely provided feedback can improve follower’s readiness and performance. However, feedback provision can be costly and strain the leader, especially when the leader’s resources are limited. To model adaptive feedback provision, we use instance-based learning (IBL) theory, a cognitive architecture that can account for human decision making and learning from experience in a dynamic environment. In addition, we leverage the concept of trust, to capture the dynamic performance of the follower. Trust in a follower is used as a key attribute for the leader’s decision making process. To evaluate the proposed framework and the interplay between leader’s trust in follower and utility from feedback provision, we devised four different feedback schemes with or without adaptive learning and with or without trust, and conducted comparative performance analysis among them. Our key findings show that in less resource constraint situations the adaptive feedback provision using IBL model and trust can significantly help increase decision utility, representing a balance between the follower’s trust improvement and the leader’s feedback cost. In addition, a leader’s high willingness to provide feedback does not necessarily lead to high decision utility, while a follower’s high learning capability is a key to maximize decision utility.","PeriodicalId":231353,"journal":{"name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"31 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116666156","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

Tactical Decision Support for UAV Deployment in MUM-T Helicopter Missions : Problem analysis and System Requirements MUM-T直升机任务中无人机部署的战术决策支持:问题分析和系统需求

2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) Pub Date : 2018-06-01 DOI: 10.1109/COGSIMA.2018.8423986

M. Frey, A. Schulte

{"title":"Tactical Decision Support for UAV Deployment in MUM-T Helicopter Missions : Problem analysis and System Requirements","authors":"M. Frey, A. Schulte","doi":"10.1109/COGSIMA.2018.8423986","DOIUrl":"https://doi.org/10.1109/COGSIMA.2018.8423986","url":null,"abstract":"At the University of the Bundeswehr Munich (UBM) a current field of research is in the area of military helicopter missions utilizing Manned-Unmanned Teaming (MUM-T), i.e., the coupling of a manned helicopter with unmanned aerial vehicles (UAVs). The focus lies in a task-based-guidance concept and a mixed-initiative planning module to support the crew onboard the helicopter to command UAVs. This article presents issues on the current system found by a conducted and evaluated experimental campaign with German military pilots. The analysis of the outcomes provides empirical evidence for a need of a tactical situation analysis support system to be incorporated in the current system architecture. The aim is to support the crew in the decision-making on how to use the UAVs to achieve an increasing survivability for the helicopter crew and success rate in accomplishing the mission. We present the findings of the experiments and outline requirements for the system needed for situation assessment and decision-making on a tactical level to support the deployment of the UAVs in transport helicopter missions for MUM-T scenarios.","PeriodicalId":231353,"journal":{"name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126693725","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: 6

CogSIMA 2018 Committees

2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) Pub Date : 2018-06-01 DOI: 10.1109/cogsima.2018.8423981

引用次数: 0

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