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ItemEnhancing Organizational Transformation for Design-Build Infrastructure Projects: Design Liability, Construction Quality Assurance, and New Engineering Leadership Requirements(Georgia Institute of Technology, 2022-07-29) Lee, Jung HyunMajor transportation infrastructure projects have used alternative project delivery, such as design-build (DB), to streamline and expedite project delivery, transferring many roles and responsibilities from state departments of transportation (DOTs) to private actors. One challenge that state DOTs face in their major DB projects is ensuring that the DB team upholds the highest standards of design and construction quality in the integrated design and construction environment. The overarching objectives of this study are to support decision-makers in streamlining project delivery by identifying challenges related to understanding gaps between public owners' expectations and the industry's perception and suggesting recommendations to mitigate the gaps. Most specifically, this study addresses issues found in DB transportation infrastructure projects and recommends innovative solutions to overcome those issues in the following areas: (1) design liability, (2) construction quality assurance, and (3) a new engineering leadership requirement on the DB team. This study utilizes a mixed-method research methodology, combining quantitative and qualitative techniques to identify key areas of variances in the integrated DB infrastructure projects. The data in this study come from a survey and semi-structured interviews. Because of the interdisciplinary nature of the research, it is necessary to capture several viewpoints from a wide range of subject-matter experts (SMEs) from multiple domains, including design consultants, highway contractors, public owners, owner representatives, insurance and legal advisors, and construction engineering and inspection (CEI) specialists. The results show that SMEs had considerably different perceptions regarding the frequency and severity of design claim sources in the DB environment. Inconsistencies between CEI perceptions and DOT requirements for quality assurance roles and responsibilities are identified. The results also highlight that a new engineering leadership requirement on the DB team will add value to large and complex projects. This study contributes to the body of knowledge in proactive design and construction quality management by providing decision-makers insights into design liability issues and opportunities to reduce them, providing guidance on reinforcing the quality assurance program for current and future DB projects, and mitigating gaps between the DOT's expectations and the industry's perceptions. The findings of this study have important implications for future practice and offer constructive guidance on streamlining project delivery in the DB transportation infrastructure market.
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ItemHaptic Interface Design Support: Assisting Designers in Analyzing the Design Space of and Prototyping Haptic Interfaces(Georgia Institute of Technology, 2022-05-27) Lin, HongnanHaptic interfaces, which enable human-computer interaction through touch, have the potential to benefit a wide range of life activities, including communication, education, creation, entertainment, and transportation. The development of practical haptic interface design requires the involvement of designers with their user-centered design perspectives and creative design expertise. Designers entering the haptic domain need support. Previous efforts have focused on providing hardware and software platforms for designers to design haptic experiences on top. In this dissertation, we study how to support designers to create new haptic hardware with emerging technologies. Specifically, we focus on two main challenges: analyzing the design space of haptic interfaces and prototyping haptic interfaces. Our inquiry is embodied in two projects respectively: Hapticology and FlexHaptics. In both projects, we design, build, and evaluate artifacts, i.e. tools and approaches, to transform haptic interface design from its current state to a preferred state and reflect on implications for future efforts on supporting designing haptic interfaces. Hapticology project proposes a rational design process for haptic interfaces adapted from design space analysis and morphological analysis. It provides a combination of design artifacts needed to perform the analysis, including a space of design options, discussions of the impact of the design options, and data visualization of the design options and impacts. FlexHaptics project studies the prototyping problem, focused on passive haptic interfaces. FlexHaptics method to design passive haptic interfaces comprises the modules, mathematical models, and editor. It combines important advantages of previous techniques, including extensive and fine-tunable haptic profiles and computer-aided design and fabrication. It also introduces beam structures to the field of passive haptic interfaces, which benefit predictable haptic properties, accessible fabrication, and compact form factors. The workshop explores passive haptic inputs with novice designers using FlexHaptics method. It reveals the design process followed by novice designers, challenges encountered in designing haptic hardware, and informs implications for future design support for creating passive-haptic interfaces. The two projects form a T-shape research structure; Hapticology builds the horizontal line as it navigates through extensive possibilities of haptic interface designs, and FlexHaptics builds the vertical line as it focuses on one haptic interface type identified from Hapticology and dives into the design processes. Synthesizing the findings from the projects, we discuss haptic interface design processes integrating the outcomes of this work and depict a framework to promote innovation in haptic interfaces.
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ItemDevelopment and evaluation of a design tool for occupational therapists to facilitate co-design of assistive technology with designers(Georgia Institute of Technology, 2022-05-05) Lee, Su JinDevelopment of effective assistive technology (AT) for individuals for disabilities necessitates close collaboration between occupational therapists (OTs) and designers. Currently, their successful collaboration is hampered by absence of a common language; as a result, clinical insight necessary for creating effective AT are poorly integrated into the design process. This problem can be attributed, in large part, to OTs’ inability to communicate with designers in design-actionable language. For successful ATs to be developed, OTs must be able to translate their clinical understanding of task-performance deficits into task-relevant design attributes that are necessary for designers to make informed design decisions. To enhance OT’s ability to communicate their expertise to designers and, therefore, be a better co-design partner in the co-design process, the aims of this dissertation were to: 1) develop the Dyadic Transfer Performance Instrument (DTPI), a tool designed to help OTs articulate, in design-relevant terms, clinical knowledge pertinent to designing AT interventions for caregiver-assisted transfers, 2) Conduct co-design workshops to engage OTs and designers to i) identify task-related problems with transfers from a pre-recorded video; ii) generate concepts for AT solutions, with and without DTPI, for a real-life case (based on a caregiving dyad experiencing transfer performance difficulties), and 3) Evaluate the usefulness of the DTPI, as measured by the extent to which its use: 1) increases OT’s active engagement in the co-design process; 2) increases OT’s use of design-relevant terms, and 3) improves the experience of participants during the co-design process. The primary output of this dissertation is a tool that empowers OTs to be co-equals in the co-design process, a pre-requisite for co-design teams to create more informative design criteria grounded in task-relevant design characteristics. The DTPI consists of several features: 1) a tag function that allow users to analyze environmental interactions during performance at fine-gained task levels, 2) prompts that facilitate consideration of all relevant design characteristics and attributes, and 3) compilation of data to easily visualize results in a way that supports generating design insights. Analysis of the co-design workshops indicate that the DTPI helps OTs to anchor their clinical assessments in more design relevant terms, increase the efficiency at which their assessments are communicated to designers, and increase their proactive contribution in the brainstorming phase of the co-design process. This project has several short- and long-term outcomes. Most immediately, it demonstrates the feasibility of a tool-mediated co-design method to foster more effective collaboration between OTs and designers. Adoption of more effective co-design methods will, over time, result in more effective AT solutions for transfer performance for which there are persisting unmet needs. Further, more effective AT solutions will improve transfer performance, thus enabling individuals aging with disability to remain at home longer, as well as reduce the physical strain on caregivers.
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ItemHuman-building interaction: Supporting students’ performance and wellbeing through built environments on campus(Georgia Institute of Technology, 2022-05-03) Kim, YujinFacility management aims to ensure buildings' quality and components to support occupants in achieving their goals and objectives. Campus environments play a vital role in student success by providing supportive spaces for learning, living, resting, and socializing. However, studies about the built environment of higher education have mainly focused on the ways of learning and teaching instead of physical components, and built environments on campus and their effects on students have been little studied. This study aims to 1) propose and investigate a theoretical framework on the relationship between built environments and students’ outcomes (i.e., academic performance and wellbeing) in higher education and 2) identify the preferred physical and functional environments on campus depending on student activities. This study proposed a theoretical framework based on the socio-materiality theory to explain the complex relationship between materiality and social practice in built environments. The proposed framework was tested in three-fold. First, study 1 investigated how students’ space usage of a library changed after the COVID-19 pandemic and was related to indoor environmental features. Data were collected via survey with 66 responses in pre-pandemic and interviews with 12 students during the pandemic. One of the main findings was that, even though students used the library less during the pandemic, they expected to use it as much as pre-pandemic or even more after the pandemic. Furthermore, students required different environmental features depending on their purpose of space usage, and the physical environment cultivated a sense of belonging and community. Second, study 2 tested the restorative effect in indoor settings using an eye-tracking device. Data were collected through a true experiment with 34 students randomly assigned to biophilic vs. non-biophilic design settings. The findings indicated that biophilic design itself was not decisive to restorative effects. Students in both settings selectively looked at nature-like (natural material) and views of nature and reported restoration effects. Lastly, study 3 analyzed how multi-dimensional environments (i.e., physical and functional environments) affected students’ outcomes in dormitories. A total of 128 self-reported survey responses revealed that the physical and functional environments were related to each other and directly and indirectly affected students’ perceived learning performance and wellbeing. In conclusion, this thesis provides a theoretical framework to explain the iterative process of physical and functional environments on campus and empirical evidence of the importance of built environments for enhancing student experiences and supporting different activities, such as learning, collaborating, socializing, and resting. For this, academic leadership, building managers, and designers should actively adopt the evidence-based design approach to provide appropriate environments and support student activities.
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ItemProduct Model Exchange Standards for Cast-in-Place Reinforced Concrete: Implementation Methods, Value Considerations, and Application to Design Indicators(Georgia Institute of Technology, 2022-04-27) Garcia Bottia, LeonardoBuilding Information Modeling (BIM) has changed the way information in design and construction is communicated by allowing the possibility of exchanging project models and data together. To optimize the process, standards have been developed to define what is required in each exchange and how to represent it. For several years Cast-in-Place (CIP) reinforced concrete (RC), one of the most important construction materials worldwide, has been subject to considerable efforts toward the development of its standards. However, the monolithic nature of the material and its complex supply chain makes it difficult for this development to be properly carried out. This dissertation presents the results of a study with four key aims: (1) identify how exchange standards for CIP RC fit into current engineering and construction practices, (2) develop the requirements and methods for implementation, (3) study the value considerations of implementing the standards in practice, and (4) apply the information available in exchange standards to enhance the design and construction processes through the estimation of design indicators. This research is developed in the context of the undergoing efforts of the American Concrete Institute (ACI) to develop industry-wide standards for CIP RC concrete. To map the current engineering practices and challenges regarding CIP RC model exchanges, the dissertation presents the results of an ethnographic-action study performed to allow a description of current behaviors, the acquisition of qualitative data regarding the advantages of implementing BIM standards on a practical level, and to inform of potential additional requirements for standardization. To assist the implementation of standards in practice, this dissertation presents a set of methods for implementation that adapt to current tools and practices. To study the value considerations of implementing exchange standards, the same CIP RC processes captured in the ethnographic study are reproduced using the methods developed for model exchange standards. Finally, the study presents the results of a logistic regression model developed to use the parametrized information made available through these exchanges, to estimate indicators that improve the design and construction processes. In conclusion, this research provides recommendations to further develop CIP RC modeling and exchange standards, studies how design and construction practice aligns with new CIP RC standard workflows, provides methods for implementation, and develops a model useful to predict design indicators during early stages using the valuable information embedded in CIP RC exchange standards.
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ItemAnalyzing Physical Workplace and Service Management Using Natural Language Processing and Machine Learning Approaches(Georgia Institute of Technology, 2022-04-26) Hong, SungilThe demand for workplace flexibility has emerged according to ever-changing environments, such as sharing and gig economy, alternative work arrangement, and COVID-19. This study proposes a redefined facility management model corresponding to the changing circumstances, which provides not only space but also activity support and leisure services. Coworking space (CWS) is one of the embodiments of the model. This research aims to develop CWS management strategies for 1) user preferences in physical workplace environments and services during COVID-19 and 2) data management methods utilizing natural language processing (NLP) and machine learning techniques. Two main studies in this research address three research objectives: 1) identifying preferences for facilities and services factors in CWSs during COVID-19; 2) detecting changing preferences for factors about facilities and services during COVID-19; 3) proposing the applications of machine learning and NLP techniques and demonstrating the applicability of computational data collection and analysis methods in the physical workplace management research. First, Study I proposes a thematic categorization scheme of CWS spatial and service factors and elements. Based on the categories, a mixed-method approach was utilized for the comprehensive data analysis, including content analysis, classification, and clustering. The results show that CWS users have become sensitive to disruptive behaviors and hygienic responses to infectious diseases after the pandemic. The findings also present a need for a sense of community and various technology needs for virtual interactions. Second, Study II performed the data integration of a large computerized maintenance management system dataset of a public college campus into a single CWS building maintenance dataset to build robust machine learning-based text classification models for a small dataset. The results show the qualitative and quantitative increase in prediction performance of text classifications. Study II implies that data integration will accelerate smart facility management, including small or single buildings, by sharing public datasets. In conclusion, this research sheds light on online big data collection and analysis in physical workplace management research. It also presents how the facility management industry can apply such state-of-the-art technology in utilizing historical data to make data-driven decisions.
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ItemTowards Understanding an Imperfect Built Environment: A Methodology for In-Situ Characterization of Building Envelope Thermal Performance(Georgia Institute of Technology, 2022-04-01) Pilet, Tyler J.As buildings age, retrofits are becoming an increasingly important topic for the ever-growing and aging existing building stock. Following construction, a building's energy footprint typically remains relatively stagnant, effectively locking-in that building's energy usage for its lifetime. With 50% of America’s building stock built before 1980 and only 0.5–1% of existing buildings retrofitted annually, it is essential to reduce guesswork and make building energy retrofits more accessible to reduce the energy footprint of the building sector. Building retrofits are plagued by a lack of original design documentation and general uncertainty regarding the building's envelope composition and integrity. The goal is this work is to utilize the power of transient heat transfer modeling to non-intrusively characterize the thermal properties of a building's envelope to inform energy modeling, facade design, and project appraisal. This thesis presents a literature survey of the state-of-the-art in in-situ thermal testing, a thermal characterization methodology to non-destructively identify representative thermal properties for existing building envelopes, a simulation-based study to verify the thermal characterization method, two physical experiments to validate the thermal characterization method, and a proof-of-concept machine learning approach to classify in-service assemblies via the proposed thermal characterization methodology. This dissertation is designed to bridge the gap between the discrete procedures of building audits and building energy modeling processes to enable a better understanding of existing building envelopes and reduce guesswork from envelope retrofits.
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ItemSocial Learning for Social Transformation: A Case for Economic Democracy(Georgia Institute of Technology, 2022-03-14) Igietseme, Nene VeronicaThis research investigates planning theory and education from a critical race and radical planning perspective. While planning theory includes strands that explore the social determinants of health, regime power, and equity planning, it will often miss how these operate as interconnected economic, political, and ideological forces that maintain mass imprisonment, poverty, and neoliberalism as the dominant development paradigm. This study explores the relationship between racial capitalism, regime power, and collaborative rationality and the impact of capitalist institutions and planning on neighborhood development. It concludes with suggestions for the social learning that must occur in order to reorient students and professional planners, as well as the field, to social transformation.