{"title":"Using iBeacon for intelligent in-room presence detection","authors":"Yang Yang, Zhouchi Li, K. Pahlavan","doi":"10.1109/COGSIMA.2016.7497808","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497808","url":null,"abstract":"iBeacon, a novel technique for proximity estimation, is utilized in our work to establish an intelligent in-room presence detection system. iBeacon is a kind of beacon device introduced in 2014 by Apple Inc. based on Bluetooth Low Energy (BLE) technology. The beacon signal can be broadcasted every certain interval. We collected data for line-of-sight (LOS) situation in in-room environment, and then recognize in-room presence according to path-loss readings. Data in other situations and environments such as obstructed-line-of-sight (OLOS) and outdoor scenario has been also considered to guarantee the in-room presence detection accuracy. Based on the empirical measurement results, we deeply investigate the system performance in terms of error detection possibility. This system is specifically promising for some particular purposes such as graduate seminar check-in, security system, in-and-out counting.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"40 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":"134374447","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}
Simone Imbrogno, Chiara Foglietta, Cosimo Palazzo, S. Panzieri
{"title":"Managing decisions for smart grid using interdependency modeling","authors":"Simone Imbrogno, Chiara Foglietta, Cosimo Palazzo, S. Panzieri","doi":"10.1109/COGSIMA.2016.7497810","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497810","url":null,"abstract":"Critical infrastructures are vital complex systems for our lives. Electrical grids, gas pipelines, telecommunication networks and transportation roads are examples of those critical infrastructures. Furthermore, critical infrastructures are tightly interconnected one to another, and their interdependencies are more evident during adverse events, such as faults, natural disasters or cyber attacks. Making smart decisions is a hard task for operators. This paper wants to suggest a complete procedure for helping critical infrastructure operators in managing assets during adverse events. CISIApro simulator is an agent-based simulator able to evaluate the risk associated with the consequences of adverse events. The agent ability to produce resources is summarized into the concept of operative level. The output of CISIApro, related to the power infrastructure, is used as input of the unit commitment algorithm as an example of decision making algorithm. In this paper, the unit commitment includes network topology security constraints and a risk-based objective function. This process is validated by means of a reference scenario made of four interconnected infrastructures, within a regional area. Results are presented in order to understand how unit commitment can suggest different solutions based on different risk assessment.","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":"130655080","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":"Will passengers trust driverless vehicles? Removing the steering wheel and pedals","authors":"Kristin E. Schaefer, E. Straub","doi":"10.1109/COGSIMA.2016.7497804","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497804","url":null,"abstract":"Driverless passenger vehicles are an emerging technology and a near-term eventuality. As such, the role of someone onboard the vehicle will change from the active role of a driver to the passive role of a passenger. The goal of this work is to provide an initial assessment of this interaction, with a specific focus on the impact of different available control interfaces on trust, usability, and performance. Participants interacted with two simulated driverless passenger vehicles that were designed to mirror a real-world prototype vehicle for Soldier transit on a U.S. military installation. Vehicle 1 had a traditional wheel and pedal control interface, as well as two buttons to disengage or re-engage the vehicle's automation system. Vehicle 2 only had the button system available with which to disengage the automation and bring the vehicle to a safe stop in the simulation and then re-engage. Both vehicles were designed to function optimally throughout the virtual environment. Findings suggested equal trust and usability ratings between the two vehicles. However, participants tended to intervene more often with the traditional control interface. Individual differences and preference ratings are reported.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"26 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":"114184678","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}
J. Waters, B. Plutchak, J. Pilcher, Arne Odland, David Jones
{"title":"A Dynamic Agile Process Model for situational awareness","authors":"J. Waters, B. Plutchak, J. Pilcher, Arne Odland, David Jones","doi":"10.1109/COGSIMA.2016.7497797","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497797","url":null,"abstract":"This position paper describes how a proposed Dynamic Agile Process Model (DAPM) can be a useful representation of situational awareness. The traditional definitions of situational awareness are highly conceptual and text-based, intended for human consumption, so a simpler, more specific machine-understandable definition is needed for computer processing. At its simplest, the authors suggest that situational awareness can be considered the intersection of processes. If the processes can be represented effectively and efficiently in a computer representation, then so can situational awareness. The Dynamic Agile Process Model (DAPM) has certain characteristics, including both static and dynamic aspects, as well as fractal characteristics such as self-similarity, complexity built from simplicity, and optimized information flow, which seem to match the similar characteristics of situational awareness. Using this process model, situational awareness can be represented in a manner amenable to machine processing for applications such as planning, training, command and control, intelligence, surveillance and reconnaissance, and after-action analysis. The authors are beginning to explore enabling situational awareness in smart avatars using this model for these applications in the SPAWAR Systems Center BEMR lab: Battlespace Exploitation of Mixed Reality. For more information or to participate or join the Advanced Exploitation of Mixed Reality (AEMR) Community of Interest, please send an email to BEMR@spawar.navy.mil.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"117 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":"124401468","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":"Towards reducing the reaction time of emergency services through improved situation assessment","authors":"Odd Erik Gundersen, F. Overgaard, Jannicke Roren","doi":"10.1109/COGSIMA.2016.7497811","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497811","url":null,"abstract":"Our goal is to reduce the reaction time between an emergency call is received and help has been dispatched. The hypothesis is that the situation assessment of the operators can be improved by relying less on oral communication by enabling a smart phone application to send pre-registered and real-time updated information. We identify some challenges of how emergency situations are assessed by operators, discuss these challenges, and present a computer system that addresses these. As experiments with the aim of measuring the performance of the presented system in an operational setting are on-going, only some initial results are presented.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"13 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":"129047882","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}
Stephen L. Dorton, B. Terry, Bobby Jaeger, Peter B. Shearer
{"title":"Development of a Recognition Primed Decision Agent for supervisory control of autonomy","authors":"Stephen L. Dorton, B. Terry, Bobby Jaeger, Peter B. Shearer","doi":"10.1109/COGSIMA.2016.7497806","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497806","url":null,"abstract":"Unmanned Systems (UxVs) are becoming increasingly prevalent across both the Department of Defense (DoD) and commercial sectors. As automation becomes increasingly robust and systems transition from being merely automated to being more autonomous, there is a need for Human Machine Interfaces (HMI) to enable effective supervisory control of these systems. An ontology-driven decision support system has been designed to emulate Recognition-Primed Decision Making (RPD) that is exhibited in experts. This RPD Agent (RPDA) fuses real-time sensor data and vehicle telemetry with static rulesets based on tacit domain knowledge elicited from experts to generate Courses of Action (COA) that a user can pick from. By querying ontologies of human expert knowledge, real-time world states can be rapidly compared to instantiated rulesets to provide relatively novice users with extended domain expertise. By presenting the operator with a list of logically permissible COAs rather than generating the COAs themselves, one can employ effective supervisory control over multi-domain, multi-mission autonomy. This paper discusses the conceptual and functional design of the RPDA, the development of component domain ontologies to power the agent, conclusions, and future work to be performed.","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":"121132090","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":"A new approach to customization of accident warning systems to individual drivers","authors":"Ali Rakhshan, Evan Ray, H. Pishro-Nik","doi":"10.1109/COGSIMA.2016.7497813","DOIUrl":"https://doi.org/10.1109/COGSIMA.2016.7497813","url":null,"abstract":"This paper discusses the need for individualizing safety systems and proposes an approach including the Real-Time estimation of the distribution of brake response times for an individual driver. In order to improve the safety, the accident warning system should send “tailored” responses to the driver. This method could be the first step to show that safety applications of intelligent transportation systems would potentially benefit from customizing to individual drivers' characteristics using vehicular ad hoc networks. Our simulation results show that, as one of the imminent and preliminary outcomes of the new improved system, the number of false alarms will be reduced by more than 40%.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115881391","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}