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Showing 1 to 17 of 17 for “"Conversational Ai"”.

  1. Seeing us through machines: designing and building conversational AI to understand humans

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms

    uiuc Repository record for Seeing us through machines: designing and building conversational AI to understand humans (opens in a new tab)

  2. The effect of immersive conversational AI on immigrant students' second language production and willingness to communicate

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for The effect of immersive conversational AI on immigrant students' second language production and willingness to communicate (opens in a new tab)

  3. Creating Your Own Conversational Artificial Intelligence Agents Using Convo, a Conversational Programming System

    … phones and homes. Despite their ubiquity, these conversational AI agents still largely remain a mystery to many, in terms of how they work and what they can do. To lower the barrier to entry to understanding and creating these conversational AI agents for young students, I expanded on Convo, a …

    mit Repository record for Creating Your Own Conversational Artificial Intelligence Agents Using Convo, a Conversational Programming System (opens in a new tab)

  4. Tools to create and democratize conversational artificial intelligence

    … more complex, the skill set needed to develop conversational AI applications increases as well. This work bridges the gap, democratizes AI technology, and empowers technology consumers to become technology developers. In this thesis, I develop block-based Alexa Skill programming tools, enabling …

    mit Repository record for Tools to create and democratize conversational artificial intelligence (opens in a new tab)

  5. Towards Human-AI Teaming for Skill Development: From Dyadic Interview Practice to Triadic Programming Collaboration

    … has become critical. This thesis explores how AI can support skill development in these domains, progressing from AI as a sole practice partner to AI as a collaborative teammate. Our first two studies investigate LLM-based conversational AI for interview preparation. Study 1 developed an …

    vt Repository record for Towards Human-AI Teaming for Skill Development: From Dyadic Interview Practice to Triadic Programming Collaboration (opens in a new tab)

  6. AI-Serve: Empowering Service Provisioning with Conversational and Generative AI

    The global conversational AI market has been growing rapidly with widely adopted applications in diverse domains, including customer service, finance, education, and healthcare. Voice-enabled assistants such as Siri, Alexa, and Google Assistant are used by hundreds of millions of people worldwide …

    queens Repository record for AI-Serve: Empowering Service Provisioning with Conversational and Generative AI (opens in a new tab)

  7. Providing Personalised Experience in Text-based Customer Service Conversations

    … a positive customer experience is essential to maintaining a competitive advantage. Delivering relevance to each customer at the right time through personalising interactions, information, and the customer experience is a fundamental com- ponent of an excellent customer experience. However, it is …

    cambridge Repository record for Providing Personalised Experience in Text-based Customer Service Conversations (opens in a new tab)

  8. CONDOR: Clinical Ontology-aware Networked Data Organization and Retrieval

    Until now, state-of-the-art research into AI-driven clinical workflows has been confined to proprietary, closed-source systems from vendors like Epic and Oracle, or private experiments like Stanford’s ChatEHR, creating a critical barrier to academic innovation. This thesis introduces CONDOR, the …

    mit Repository record for CONDOR: Clinical Ontology-aware Networked Data Organization and Retrieval (opens in a new tab)

  9. A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration

    … an intelligent system. Artificial intelligence (AI) research, including machine learning, computer vision, and natural language processing, requires large amounts of annotated data. The current research and development pipeline involves each group collecting their own datasets using an annotation …

    uoit Repository record for A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration (opens in a new tab)

  10. Accessible AI That’s Out of This World: Globalizing AI Literacy through Problem-Based Learning and Deep Learning Models in a Low Code Environment

    … phones, to advertisements, to search engines, AI is a constant presence in daily life. As AI continues to permeate our everyday behaviors, products, and relationships with the world, an urgent need for equitable, effective AI education emerges. While existing research has shown the importance …

    mit Repository record for Accessible AI That’s Out of This World: Globalizing AI Literacy through Problem-Based Learning and Deep Learning Models in a Low Code Environment (opens in a new tab)

  11. An XR-Driven Digital Twin Platform for Cybersecurity Education

    … twins as an educational tool within the domain of cybersecurity, specifically targeting the infrastructure of water treatment plants. A digital twin is a precise virtual model of a physical asset, process, or system, capturing its state, behavior, and interactions in real-time. By …

    vt Repository record for An XR-Driven Digital Twin Platform for Cybersecurity Education (opens in a new tab)

  12. Delocalized Photonic Deep Learning on the Internet's Edge

    Machine learning has become ubiquitous in our daily lives, providing unprecedented improvements in image recognition, autonomous driving and conversational AI. To enable this improvement the size of machine learning models has grown exponentially, requiring new hardware that scales accordingly. …

    mit Repository record for Delocalized Photonic Deep Learning on the Internet's Edge (opens in a new tab)

  13. Advancing Healthcare with GenerativeAI: A Multifaceted Approach to Reliable Medical Information and Innovation

    … rapid advancements in Artificial Intelligence (AI) have transformed the healthcare industry, reshaping the way we approach patient care, medical research, and healthcare delivery. This thesis explores the journey of AI in healthcare, from its early beginnings to the current landscape of highly …

    mit Repository record for Advancing Healthcare with GenerativeAI: A Multifaceted Approach to Reliable Medical Information and Innovation (opens in a new tab)

  14. Intelligent Automatic Treatment Planning for Radiation Therapy

    … the DNA of cancer cells, impeding their repair and division, ultimately causing cancer cell death. The goal of RT is to spare radiation dose to healthy cells while maintaining the dose to cancer cells. Modern RT employs advanced delivery techniques such as Intensity-modulated radiotherapy …

    utswmed Repository record for Intelligent Automatic Treatment Planning for Radiation Therapy (opens in a new tab)

  15. Sample-Efficient Reinforcement Learning for Spoken Dialogue Systems

    Conversational Artificial Intelligence (Conversational AI) platforms such as Siri or Alexa have become deeply integrated into human lives in recent years. Despite this widespread adoption, the development of a general open-domain dialogue system capable of engaging in natural conversations with …

    cambridge Repository record for Sample-Efficient Reinforcement Learning for Spoken Dialogue Systems (opens in a new tab)

  16. Designing metaphor-fluid voice user interfaces

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for Designing metaphor-fluid voice user interfaces (opens in a new tab)

  17. Towards collaborative dialogue in Minecraft

    … be successful at this task: specifically, A's main challenges arise in the task of generating situated instructions by comparing Built and Target, while B's responsibilities focus mainly on comprehending A's situated instructions using both dialogue and world context. Both agents must be able to …

    uiuc Repository record for Towards collaborative dialogue in Minecraft (opens in a new tab)