Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"human-machine collaboration"”.
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Human-machine collaboration for rapid speech transcription
… of little use. While advances in data mining and machine learning have helped to automate some types of analysis, the need for human annotation still exists and remains expensive. The Human Speechome Project is a heavily data-driven longitudinal study of language acquisition. More than 100,000 …
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UNEARTHING ENTANGLEMENTS: HUMAN/MACHINE COLLABORATION IN THE WRITING CLASSROOM
… focuses on the dynamics between teachers and machines at the intersections of design, teaching labor, and pedagogy when automation is deployed in writing classrooms. The sites of analysis are Eli Review and Turnitin, two technologies that represent different design approaches that center …
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Interactive and interpretable machine learning models for human machine collaboration
I envision a system that enables successful collaborations between humans and machine learning models by harnessing the relative strength to accomplish what neither can do alone. Machine learning techniques and humans have skills that complement each other - machine learning techniques are good at …
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Designing interaction for human-machine collaboration in multi-agent scheduling
In the field of multi-agent task scheduling, there are many algorithms that are capable of minimizing objective functions when the user is able to specify them. However, there is a need for systems and algorithms that are able to include user preferences or domain knowledge into the final solution. …
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Artificial Intelligence for Cyber Security Threats
… By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.</p> <p>This study also addresses the need for human-machine collaboration, …
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Synthetic tutor : profiling students and mass-customizing learning processes dynamically in design scripting education
Artificial intelligence is substituting human intelligence and robots are replacing human workers. Instead of settling for this competitive relationship between humans and machines, this thesis proposes a novel framework in which humans and machines work together to solve the complex problems of …
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Human Traders need new Tools
… proposes new methods and tools for helping human traders to compete in a highfrequency trading environment. Human traders have difficulty trading against predatory algorithms and the thesis proposes methods that support the creation of assistive tools that can help human traders to compete …
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Human machine collaborative decision making in a complex optimization system
… solutions. Our research focuses on inserting a human "in-the-loop" of the decision-making or problem solving process in order to generate solutions in a timely manner that improve upon those that are generated either scolely by a human or solely by a computer. We refer to this as Human-Machine …
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Human-centric verification for software safety and security
… verification process was correct. We propose a human-centric approach to software verification. This involves enabling human-machine collaboration to detect vulnerabilities and to prove the correctness of the verification.</p> <p>We discuss two classes of vulnerabilities. The first class is …
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News Matter : embedding human intuition in machine intelligence through interactive data visualizations
… they come in as an unstructured text that for machines is hard to generalize. While numerous tools exist that use Natural Language Processing to identify features of news articles, few use NLP to help readers navigate the universe of news stories. This thesis proposes a novel interaction …
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Building trust in autonomous systems with an AI framework for privacy, safety, and reliability in data, software, and robotics
… explainable and predictable measures of trust in human-machine collaboration, ensuring that these advanced processes remain transparent, accessible, and interpretable for all users, thereby increasing their overall trustworthiness. Within autonomous systems, robotics has been considered the most …
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Towards Human-Centered Optimality Criteria
Despite the transformational success of machine learning across various applications, examples of deployed models failing to recognize and support human-centered (HC) criteria are abundant. In this thesis, I conceptualize the space of human-machine collaboration with respect to two components: …
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Game-Theoretic and Machine Learning-based Defensive Deception for Dependable and Secure Cyber-Physical Systems
Cyber-physical systems (CPSs) and Human-Machine Teaming Systems (HMTSs) face growing risks from sophisticated cyber threats, particularly Advanced Persistent Threats (APTs), which conventional security measures struggle to counter effectively. These threats can subvert controls or launch …
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Human Computer Interaction Design for Assisted Bridge Inspections via Augmented Reality
… In case of CV assistance, emphasis was placed on human-computer interaction (HCI) to understand whether partial, collaborative automation could address some of the limitations of fully automated inspection methods. The project began with comprehensive data collection through interviews, surveys, …
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Reliable Inference from Unreliable Agents
… in the system can be sensors and/or humans. The system components can be unreliable due to a variety of reasons: faulty sensors, security attacks causing sensors to send falsified information, or unskilled human workers sending imperfect information. This thesis first quantifies the …
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Innovations in Urban Computing: Uncertainty Quantification, Data Fusion, and Generative Urban Design
… and social welfare. The last part develops a human-machine collaboration framework for generative urban design and then instantiates the framework with a model trained to generate satellite imagery from a land use text description and a constraint image depicting the unaltered major road …
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Augmented Human Machine Intelligence for Distributed Inference
… wireless sensor networks (WSNs), interactions of humans and machine data are everywhere. In numerous applications, humans are essential parts in the decision making process, where they may either serve as information sources or act as the final decision makers. For various tasks including …
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Organizational Decision-making in the Age of Big Data and Artificial Intelligence
… context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, while study 2 and 3 in the context of artificial intelligence.</p> …
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Artificial intelligence perception of strategic decision-makers: an exploratory study [La percezione dell'Intelligenza Artificiale da parte dei decisori strategici: uno studio esplorativo]
La presente tesi di dottorato si propone di indagare il ruolo dell'Intelligenza Artificiale (IA) nei contesti decisionali strategici. La tesi si articola in tre capitoli principali. Il primo presenta una revisione sistematica della letteratura manageriale che ha esplorato le interazioni …