Human Systems Integration Capstone / Approved for public release;distribution is unlimited / MANPRINT efforts have the greatest impact when initiated early in the acquisition process, when changes to a system can be made most easily. At this point in time, MANPRINT activities are funded directly by the Program Manager (PM)/Program Executive Office (PEO), who do not tend to allocate appropriate funding for early MANPRINT efforts. For this reason, HRED FE personnel must become MANPRINT salesmen and promote the value of their inclusion and market themselves to the acquisition managers. As support of acquisition programs early in their lifecycle has the greatest need for guidance, this document will largely discuss methods for moving MANPRINT â to the leftâ that can be undertaken at the HRED FE working level. Specifically, this document will detail how to become part of the PMâ s team and what activities would best support the PM once included.

abstract: This research evaluates a cyber test-bed, DEXTAR (Defense Exercises for Team Awareness Research), and examines the relationship between good and bad team performance in increasingly difficult scenarios. Twenty-one computer science graduate students (seven three-person teams), with experience in cybersecurity, participated in a team-based cyber defense exercise in the context of DEXTAR, a high fidelity cybersecurity testbed. Performance measures were analyzed in addition to team process, team behavior, and workload to examine the relationship between good and bad teams. Lessons learned are reported that will inform the next generation of DEXTAR. / Dissertation/Thesis / Masters Thesis Applied Psychology 2016

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / The Human Resources (HR) outsourcing market in Peru is growing; however, it is dominated by large companies in this area, which prevents the development of new organizations or small- and medium-sized enterprises (SMEs). The latter, in spite of providing the same services, fail to reach the expected sales volume, thus reporting low profitability. This article analyzes the different factors that impede the growth of SMEs through a fishbone (Ishikawa) diagram and the assessment of initial indicators. It also proposes a model that is based on the three pillars of Digital Transformation and the importance of their alignment in its implementation. A pilot model has been conducted for validation in an SME that provides HR outsourcing services. The research results denote an increase in the company’s profitability and capacity.

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The Direction Orientation Test (DOT) on the current version of the Aviation Selection Test Battery has seen ceiling effects in recent years necessitating a need for a change in how the Navy assesses spatial reasoning, and in part due to techniques which had been taught to examinees prior to their taking the exam. This exam impacts the selection of 1,000 naval aviators across the Marine Corps, Navy, and Coast Guard. As new tests were placed into developmental stages, questions arose whether it was the test that mattered or the techniques, including the ability to extend cognition by utilizing available tools in the environment. This study aims to investigate whether the extension of cognition, or the integration of affordances and techniques improves human performance on the TOT. The study intended to provide metrics for the extension of cognition and compare performance in accuracy and questions attempted. The study included 144 Sailors and Marines participating in one of three conditions: Control, Experimental Condition 1 (EC1), and Experimental Condition 2 (EC2). EC1 participants conducted the trial with the allowance to use paper or pencil (as tools to extend their cognition). EC2 allowed the participants the same utilization as EC1, while integrating spatial reasoning methods taught during the trial. The results showed that the extension of cognition alone, EC1, did not outperform the other groups in accuracy, or questions attempted but yielded the shortest response time. EC2 outperformed the groups in accuracy and questions attempted but yielded the longest response time. These results demonstrate that when seeking overall effectiveness with a new training tool or method that considerations must be given to how the human in the loop will interact with the tools and techniques, and their basic understanding of the intended utilization will show performance improvements. This approach applies to many designers and developers across the modeling and simulation space to drive at improved efficiencies in transitioning innovations.

Drivers of environmental change in one location can have profound effects on ecosystem services and human well-being in distant locations, often across international borders. The telecoupling provides a conceptual framework for describing these interactions-for example, locations can be defined as sending areas (sources of flows of ecosystem services, energy, or information) or receiving areas (recipients of flows). However, the ability to quantify feedbacks between ecosystem change in one area and societal benefits in other areas requires analytical approaches. We use spatial subsidies-an approach developed to measure the degree to which a migratory species' ability to provide services in one location depends on habitat in another location-as an example of how telecoupling can be operationalized. Using the cotton pest control and ecotourism services of Mexican free-tailed bats as an example, we determined that of the 16 states in the United States and Mexico where the species resides, three states (Texas, New Mexico, and Colorado) are receiving areas, while the rest of the states are sending areas. In addition, the magnitude of spatial subsidy can be used as an indicator of the degree to which different locations are telecoupled to other locations. In this example, the Mexican free-tailed bat ecosystem services to cotton production and ecotourism in Texas and New Mexico are heavily dependent on winter habitat in four states in central and southern Mexico. In sum, spatial subsidies can be used to operationalize the telecoupling conceptual framework by identifying sending and receiving areas, and by indicating the degree to which locations are telecoupled to other locations.

National and state-based assessments have been a common practice for the past several decades. These assessments often come with high-stake consequences for students and schools, which tends towards the creation of a test-centric environment where educators prioritize test-based instruction to prepare students to be successful on those assessments. The over-arching purpose of this qualitative study was to explore how mandated high-stakes testing influences educators specifically within a complex system by first seeking to identify ways educators at different levels within the system—the classroom, campus, and district levels—perceive these testing influences. This study is based on complexity theory with a particular focus on complex adaptive systems (CAS) and frameworks from human systems dynamics (HSD), which helped to identify key tensions within a complex learning ecology. This study used thematic analysis of interview data from the classroom, campus, and district levels. Analysis also included mapping the emergent themes and patterns onto a CAS model for each level. Findings revealed a tension between a complicated, linear approach and a complex approach to curricular and instructional decisions that is moving those decisions ever closer to standardization. This study includes implications and recommendations for balancing these tensions for a healthy, complex learning ecology.

Indiana University-Purdue University Indianapolis (IUPUI) / The rapid infusion of artificial intelligence into everyday technologies means that consumers are likely to interact with intelligent systems that provide suggestions and recommendations on a daily basis in the very near future. While these technologies promise much, current issues in low transparency create high potential to confuse end-users, limiting the market viability of these technologies. While efforts are underway to make machine learning models more transparent, HCI currently lacks an understanding of how these model-generated explanations should best translate into the practicalities of system design. To address this gap, my research took a pragmatic approach to improving system transparency for end-users. Through a series of three studies, I investigated the need and value of transparency to end-users, and explored methods to improve system designs to accomplish greater transparency in intelligent systems offering recommendations. My research resulted in a summarized taxonomy that outlines a variety of motivations for why users ask questions of intelligent systems; useful for considering the type and category of information users might appreciate when interacting with AI-based recommendations. I also developed a categorization of explanation types, known as explanation vectors, that is organized into groups that correspond to user knowledge goals. Explanation vectors provide system designers options for delivering explanations of system processes beyond those of basic explainability. I developed a detailed user typology, which is a four-factor categorization of the predominant attitudes and opinion schemes of everyday users interacting with AI-based recommendations; useful to understand the range of user sentiment towards AI-based recommender features, and possibly useful for tailoring interface design by user type. Lastly, I developed and tested an evaluation method known as the System Transparency Evaluation Method (STEv), which allows for real-world systems and prototypes to be evaluated and improved through a low-cost query method. Results from this dissertation offer concrete direction to interaction designers as to how these results might manifest in the design of interfaces that are more transparent to end users. These studies provide a framework and methodology that is complementary to existing HCI evaluation methods, and lay the groundwork upon which other research into improving system transparency might build.

This dissertation provides an innovative mechanism to collaborate two geographically separated people on a physical task and a novel method to measure Complexity Index (CI) and calculate Minimal Complexity Index (MCI) of a collaboration protocol. The protocol is represented as a structure, and the information content of it is measured in bits to understand the complex nature of the protocol. Using the complexity metrics, one can analyze the performance of a collaborative system and a collaboration protocol. Security and privacy of the consumers are vital while seeking remote help; this dissertation also provides a novel authorization framework for dynamic access control of resources on an input-constrained appliance used for completing the physical task. Using the innovative Collaborative Appliance for REmote-help (CARE) and with the support of a remotely located expert, fifty-nine subjects with minimal or no prior mechanical knowledge are able to elevate a car for replacing a tire in an average time of six minutes and 53 seconds and with an average protocol complexity of 171.6 bits. Moreover, thirty subjects with minimal or no prior plumbing knowledge are able to change the cartridge of a faucet in an average time of ten minutes and with an average protocol complexity of 250.6 bits. Our experiments and results show that one can use the developed mechanism and methods for expanding the protocols for a variety of home, vehicle, and appliance repairs and installations.

Most organizations today understand the valuable contribution employees as people (rather than simply bodies) provide to their overall performance. Although efforts are made to make the most of the human in organizations, there is still much room for improvement. Focus in the reduction of employee injuries such as cumulative trauma disorders rose in the 80 s. Attempts at increasing performance by addressing employee satisfaction through various methods have also been ongoing for several years now. Knowledge Management is one of the most recent attempts at controlling and making the best use of employees knowledge. All of these efforts and more towards that same goal of making the most of people s performance at work are encompassed within the domain of the Human Factors Engineering/Ergonomics field. HFE/E provides still untapped potential for organizational performance as the human and its optimal performance are the reason for this discipline s being. Although Human Factors programs have been generated and implemented, there is still the need for a method to help organizations fully integrate this discipline into the enterprise as a whole. The purpose of this research is to develop a method to help organizations integrate HFE/E into it business processes. This research begun with a review of the ways in which the HFE/E discipline is currently used by organizations. The need and desire to integrate HFE/E into organizations was identified, and a method to accomplish this integration was conceptualized. This method consisted on the generation of two domain-specific ontologies (a Human Factors Engineering/Ergonomics ontology, and a Business ontology), and mapping the two creating a concept map that can be used to integrate HFE/E into businesses. The HFE/E ontology was built by generating two concept maps that were merged and then joined with a HFE/E discipline taxonomy. A total of four concept maps, two ontologies and a taxonomy were created, all of which are contributions to the HFE/E, and the business- and management-related fields.