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Task Scheduling Using Rasmussen's 1983 Skills, Rules, and Knowledge Framework to Maximize Mission Efficiency

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dc.contributor.authorBadger, Madeline Victoriaen
dc.contributor.committeechairWilliams, Ryan K.en
dc.contributor.committeememberLau, Nathan Ka Chingen
dc.contributor.committeememberDoan, Thinh Thanhen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2024-06-07T08:01:02Zen
dc.date.available2024-06-07T08:01:02Zen
dc.date.issued2024-06-06en
dc.description.abstractSearch and Rescue (SAR) operations are necessary during times of natural disaster or when individuals go missing. These missions mobilize individuals, both paid and volunteer, to find lost persons and are often carried out in treacherous areas. It is important for teammates to be focused and prepared. Specifically, the search coordinator's role and the head of command directing their teammates is vital to the outcome of a SAR mission. Their workload is significant, however, inviting the opportunity for autonomy to work in tandem with the search coordinator to ensure optimal, timely decisions are made for task scheduling. There has been a significant amount of investigation into task scheduling for human-autonomy teams, but there is a gap in the ordering methods used. One possible framework to investigate uses Rasmussen's SRK framework to classify individual responses to assigned tasks. There is also a significant body of work on this framework, but very little in a proactive task scheduling context. This thesis proposes a new approach to task scheduling utilizing Rasmussen's SRK framework. Scheduling tasks in this manner allows the characteristics of the tasks themselves to be considered as well as a more streamlined approach to reducing overall cognitive load for SAR teammates. An experimental study was conducted to determine the effectiveness of the proposed task scheduling methods based on the SRK framework. Initial results suggest there is an impact on scheduling tasks with respect to SRK, but further investigation is warranted to determine more specific factors.en
dc.description.abstractgeneralSearch and Rescue (SAR) operations are necessary during times of natural disaster or when individuals go missing. These missions mobilize individuals, both paid and volunteer, to find lost persons and are often carried out in treacherous areas. It is important for teammates to be focused and prepared. Specifically, the search coordinator's role and the head of command directing their teammates is vital to the outcome of a SAR mission. They have a significant number of responsibilities, however, inviting the potential for becoming overloaded with information and decisions. This does, however, suggest a significant opportunity for autonomy to work in tandem with the search coordinator to ensure optimal, timely decisions are made for task scheduling. There has been a significant amount of investigation into task scheduling for human-autonomy teams, but there is a gap in the ordering methods used. One possible framework to use to fill this gap is Rasmussen's Skill-Rule-Knowledge (SRK) framework to categorize and predict how individuals will respond to their assigned tasks. There is also a significant body of work on this framework, but very little in a proactive task scheduling context. This thesis proposes a new approach to task scheduling utilizing Rasmussen's SRK framework. Scheduling tasks in this manner allows the characteristics of the tasks themselves to be considered. In addition, the possibility of overwhelming SAR team members can be reduced by scheduling tasks intelligently. An experimental study was conducted to determine the effectiveness of the proposed task scheduling methods based on the SRK framework. Initial results suggest there is an impact on scheduling tasks with respect to SRK, but further investigation is warranted to determine more specific factors.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:40839en
dc.identifier.urihttps://hdl.handle.net/10919/119333en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSearch and Rescueen
dc.subjectSkillsen
dc.subjectRulesen
dc.subjectand Knowledgeen
dc.subjectTask Schedulingen
dc.titleTask Scheduling Using Rasmussen's 1983 Skills, Rules, and Knowledge Framework to Maximize Mission Efficiencyen
dc.typeThesisen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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