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.

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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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.

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.

Human Systems Integration Capstone / Approved for public release;distribution is unlimited. / In the United States Air Force (USAF), a system is generally thought of in terms of technology; but there are other types of systems supporting our warfighters. A system is “a group of related parts that move or work together” (Merriam-Webster, 2014), suggesting that systems can also be a compilation of human activities and interactions. One such system is the Air Force Medical Service (AFMS). The AFMS has been charged with the delivery of healthcare for the USAF. It is an organization within which there are many workplaces, and these are prototypical of workplaces in the USAF. The USAF currently has no framework for developing organizations. This capstone project took an inside look into the organizational structure of the Keesler Air Force Base’s Base Operational Medicine Cell (BOMC). By conducting a macroergonomic analysis, I was able to make recommendations for an effective and fully harmonized organizational design. Human systems integration (HSI) played a pivotal role in the evaluation of the Keesler BOMC, as Manpower, Personnel, and Training (MPT) are key drivers in the development of organizations. The results of this analysis lead to the development of BOMC requirements and subsequently HSI requirements for organizations, or an HSI Framework for Organizations.

<p dir="ltr">This research explores the potential of AR for lunar missions via the xEMU spacesuit. A market analysis of commercial off-the-shelf AR devices identifies technological trends and constraints that inform the architectural decisions for AR integration with the xEMU. User evaluations in simulated work environments ensure lunar informatics align with crew needs. Drawing insights from human-in-the-loop testing of COTS AR devices, qualitative test results underscore the importance of display optimization, occlusion management, and environmental considerations for enhancing the AR experience during lunar EVAs. Grounded in a task analysis from JETT3 analog testing, crew workflows and communication dynamics are baselined, underscoring the vital role of communication and collaboration. Integrating AR into the EVA work environment holds the potential to streamline decision-making, improve navigation, and enhance overall efficiency, but may come with unintended operational consequences. The human-centered approach prioritizes crew involvement, ensuring that technology remains a facilitator rather than an encumbering element in lunar exploration. The study's significance lies in advancing AR technology for lunar EVAs, guiding hardware design, and enabling seamless integration into the EVA work environment. AR holds promise in reshaping the human-technology relationship, empowering crew members, maximizing science output, and contributing to the next chapter in lunar exploration.</p>