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human-computer interaction

GeneTech 知识引擎共收录 1586 篇相关科研实体，横跨 27 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Human– AI partnerships: Living and working with AI Assistants, AI Agents, and AI Companions
  2026 · AI Agent 生态 · Abstract As the use of interactive artificial intelligence (AI) expands exponentially, it will permeate into many aspects of consumers' lives, including decision‐making and consumption. As marketers, it is important to u…
• On AI glasses and wearable AI in assessment
  2026 · AI 安全与对齐 · AI-enabled smart glasses with real-time AI capabilities are now mass-market consumer products, in many cases indistinguishable from ordinary eyewear. They can display AI-generated text within the wearer’s line of sight, …
• Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
  2026 · AI 安全与对齐 · Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action models, have opened new avenues for embodied AI in mobile ser…
• A five-Step AI-Information problem solving (AI-IPS) model for critical, ethical, and responsible usage
  2026 · AI 安全与对齐 · The rapid advancement of generative artificial intelligence (AI) has fundamentally reshaped information problem-solving (IPS), creating a need for new frameworks in academic and professional contexts. This study proposes…
• Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
  2025 · AI Agent 生态 · Recommender models capture ever-changing user preferences by training with in-domain user behavior data. These models are typically lightweight, facilitating real-time and large-scale online services. However, these mode…
• Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning
  2025 · AI Agent 生态 · Large Language Models (LLMs) provide cognitive capabilities that enable robots to interpret and reason about their workspace, especially when paired with semantically rich representations like semantic maps. However, the…
• RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
  2025 · AI Agent 生态 · Retrieval-augmented generation (RAG) has emerged as a pivotal technology in natural language processing, owing to its efficacy in generating factual content.However, its informative inputs and complex paradigms often lea…
• A Dual-Agent Collaboration Framework Based on LLMs for Nursing Robots to Perform Bimanual Coordination Tasks
  2025 · AI Agent 生态 · Dual-arm coordination is a fundamental problem in humanoid nursing robot. Large language model (LLM)-driven dual-arm collaboration is gradually becoming a research hotspot in this field. However, the single-thread LLM ta…
• Edge Large AI Model Agent-Empowered Cognitive Multimodal Semantic Communication
  2025 · AI 安全与对齐 · Semantic communications (SemCom) provide efficient transmission for mobile edge computing (MEC) services by extracting critical semantics from raw information. Although widely adopted in various scenarios, existing singl…
• China’s policies and investments in metaverse and AI development: implications for academic research
  2025 · AI 安全与对齐 · Abstract Purpose This study analyzes China’s strategic initiatives in metaverse and artificial intelligence (AI) development, examining their impact on academic research, industry innovation, and policy formulation. It a…
• Interaction Configurations and Prompt Guidance in Conversational AI for Question Answering in Human-AI Teams
  2025 · AI 安全与对齐 · Understanding the dynamics of human-AI interaction in question answering is crucial for enhancing collaborative efficiency. Extending from our initial formative study, which revealed challenges in human utilization of co…
• A scoping review of inclusive and adaptive human–AI interaction design for neurodivergent users
  2025 · AI 安全与对齐 · PURPOSE: This review explored the design and application of Artificial Intelligence (AI) technologies supporting neurodiverse users, including individuals with Autism Spectrum Disorder (ASD), ADHD, and dyslexia. It exami…
• Integration of wearable technology and artificial intelligence in digital health for remote patient care
  2025 · AI 安全与对齐 · Wearable technology has transformed patient care in the digital health era, offering real-time health monitoring and personalized interventions. However, its full potential is hindered by several challenges, such as data…
• Design and evaluation of ChatGPT-MWPS: an AI-enhanced learning system for improving primary students’ mathematical word problem solving
  2025 · AI 安全与对齐 · Abstract Mathematical word problem solving is a fundamental aspect of primary mathematics education, yet students often struggle with translating textual descriptions into structured mathematical representations. In resp…
• Generative AI personas considered harmful? Putting forth twenty challenges of algorithmic user representation in human-computer interaction
  2025 · AI 安全与对齐 · • Shows how GenAI fundamentally transforms existing persona development issues through evolutionary amplification rather than creating entirely new problems, with traditional biases becoming algorithmic discrimination an…
• Towards Enhancing Industrial Training Through Conversational AI
  2025 · AI 安全与对齐 · Conversational AI (CAI) has proven effective in educational settings, however its potential in industrial training, where higher precision and reliability are required, remains under-explored. This work-in-progress paper…
• Empowering Instructors With AI: Evaluating the Impact of an AI-Driven Feedback Tool in Learning Analytics
  2025 · AI 安全与对齐 · Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning…
• From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
  2025 · AI 安全与对齐 · Recent gains in popularity of AI conversational agents have led to their increased use for improving productivity and supporting well-being.While previous research has aimed to understand the risks associated with intera…
• The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
  2025 · AI 安全与对齐 · Large Language Model (LLM) agents are increasingly being deployed as conversational assistants capable of performing complex realworld tasks through tool integration.This enhanced ability to interact with external system…
• A Perspective on Quality Evaluation for AI-Generated Videos
  2025 · AI 安全与对齐 · Recent breakthroughs in AI-generated content (AIGC) have transformed video creation, empowering systems to translate text, images, or audio into visually compelling stories. Yet reliable evaluation of these machine-craft…
• Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations
  2025 · AI 安全与对齐 · Due to the rapid expansion of e-commerce and urbanization, Last-Mile Delivery (LMD) faces increasing challenges related to cost, timeliness, and sustainability. Artificial intelligence (AI) techniques are widely used to …
• Designing and implementing SMILE: An AI-driven platform for enhancing clinical decision-making in mental health and neurodivergence management
  2025 · AI 安全与对齐 · Rising levels of anxiety, depression, and burnout among healthcare professionals (HCPs) underscore the urgent need for technology-driven interventions that optimize both clinical decision-making and workforce well-being.…
• Building LLM-based AI Agents in Social Virtual Reality
  2024 · AI Agent 生态 · In this paper, we introduce the design and evaluation of an LLM-based AI agent for human-agent interaction in Virtual Reality (VR). Our AI agent system leverages GPT-4, a Large Language Model (LLM) to simulate human beha…
• Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design
  2024 · AI Agent 生态 · Creative design is a nonlinear process where designers generate diverse ideas in the pursuit of an open-ended goal and converge towards consensus through iterative remixing. In contrast, AI-powered design tools often emp…
• Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  2024 · AI Agent 生态 · The rapid growth in the use of Large Language Models (LLMs) and AI Agents as part of software development and deployment is revolutionizing the information technology landscape. While code generation receives significant…
• AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
  2024 · AI Agent 生态 · Foundation models that incorporate language, vision, and more recently actions have revolutionized the ability to harness internet scale data to reason about useful tasks. However, one of the key challenges of training e…
• Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
  2024 · AI Agent 生态 · This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome the limitations of previous models by ef…
• STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making
  2024 · AI Agent 生态 · Large Language Models (LLMs) like GPT-4 have revolutionized natural language processing, showing remarkable linguistic proficiency and reasoning capabilities. However, their application in strategic multi-agent decision-…
• SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
  2024 · AI Agent 生态 · In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models (LLMs), harnesses the power of L…
• SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers’ Driving-thinking Data
  2024 · AI Agent 生态 · Leveraging advanced reasoning capabilities and extensive world knowledge of large language models (LLMs) to construct generative agents for solving complex real-world problems is a major trend. However, LLMs inherently l…
• Automated test generation to evaluate tool-augmented LLMs as conversational AI agents
  2024 · AI Agent 生态 · Tool-augmented LLMs are a promising approach to create AI agents that can have realistic conversations, follow procedures, and call appropriate functions.However, evaluating them is challenging due to the diversity of po…
• Understanding Human-AI Workflows for Generating Personas
  2024 · AI 安全与对齐 · One barrier to deeper adoption of user-research methods is the amount of labor required to create high-quality representations of collected data. Trained user researchers need to analyze datasets and produce informative …
• Human–AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM Era
  2024 · AI 安全与对齐 · Remote sighted assistance (RSA) has emerged as a conversational technology aiding people with visual impairments (VI) through real-time video chat communication with sighted agents. We conducted a literature review and i…
• Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
  2024 · AI 安全与对齐 · AI intent alignment, ensuring that AI produces outcomes as intended by users, is a critical challenge in human-AI interaction. The emergence of generative AI, including LLMs, has intensified the significance of this prob…
• Co-designing Generative AI Technologies with Older Adults to Support Daily Tasks
  2024 · AI 安全与对齐 · designing Generative AI Technologies with Older Adults to Support Daily Tasks An MIT Exploration of Generative AI • From Novel Chemicals to Opera Co-designing Generative AI Technologies with Older Adults to Support Daily…
• Exploring Lexical Alignment in a Price Bargain Chatbot
  2024 · AI 安全与对齐 · This study investigates the integration of lexical alignment into text-based negotiation chatbots, including its impact on user satisfaction, perceived trustworthiness, and potential influences on negotiation results. Le…
• SOAP.AI: A Collaborative Tool for Documenting Human Behavior in Videos through Multimodal Generative AI
  2024 · AI 安全与对齐 · Large Multimodal Models offer new opportunities for analyzing human activities and social behavior in fields requiring expert knowledge. Their in-context learning and adaptive abilities make customization possible for ex…
• Annotation alignment: Comparing LLM and human annotations of conversational safety
  2024 · AI 安全与对齐 · Do LLMs align with human perceptions of safety?We study this question via annotation alignment, the extent to which LLMs and humans agree when annotating the safety of userchatbot conversations.We leverage the recent DIC…
• The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  2024 · AI 安全与对齐 · Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetin…
• Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment
  2024 · AI 安全与对齐 · Lexical alignment is a form of personalization frequently found in human-human conversations. Recently, attempts have been made to incorporate it in human-computer conversations. We describe an experiment to investigate …
• BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
  2023 · AI Agent 生态 · The massive successes of large language models (LLMs) encourage the emerging exploration of LLM-augmented Autonomous Agents (LAAs). An LAA is able to generate actions with its core LLM and interact with environments, whi…
• Conversational Health Agents: A Personalized LLM-Powered Agent Framework
  2023 · AI Agent 生态 · Conversational Health Agents (CHAs) are interactive systems that provide healthcare services, such as assistance and diagnosis. Current CHAs, especially those utilizing Large Language Models (LLMs), primarily focus on co…
• SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data
  2023 · AI Agent 生态 · Leveraging advanced reasoning capabilities and extensive world knowledge of large language models (LLMs) to construct generative agents for solving complex real-world problems is a major trend. However, LLMs inherently l…
• UX OPTIMIZATION IN DIGITAL WORKPLACE SOLUTIONS: AI TOOLS FOR REMOTE SUPPORT AND USER ENGAGEMENT IN HYBRID ENVIRONMENTS
  2023 · AI 安全与对齐 · The evolving structure of the modern workplace—driven by hybrid work models and remote collaboration—has necessitated a redefinition of User Experience (UX) frameworks in digital enterprise ecosystems. In this context, A…
• Can an AI Play Skribbl.io? A Behavioral Analysis of a Large Language Model Agent Competing in a Real-Time Multiplayer Drawing and Word-Guessing Game
  2026 · AI Agent 生态 · This paper presents a first-person observational study of Comet, a large language model (LLM)-based AI agent developed by Perplexity, autonomously participating in a complete, live session of Skribbl.io -- a real-time, m…
• Can an AI Play Skribbl.io? A Behavioral Analysis of a Large Language Model Agent Competing in a Real-Time Multiplayer Drawing and Word-Guessing Game
  2026 · AI Agent 生态 · This paper presents a first-person observational study of Comet, a large language model (LLM)-based AI agent developed by Perplexity, autonomously participating in a complete, live session of Skribbl.io -- a real-time, m…
• MoSAIC: A Hybrid Framework for Understanding Social Curiosity in Digital Learning Environments
  2026 · AI 安全与对齐 · As learning moves to digital and AI-supported platforms, we risk losing the rich social dynamics that drive curiosity, deep engagement, and social development in collaborative learning. MoSaIC (Methods for Social and Ind…
• Editorial: The convergence of AI, LLMs, and industry 4.0: enhancing BCI, HMI, and neuroscience research
  2026 · AI 安全与对齐 · models that infer and adapt to human state, moving beyond static prediction toward neuroadaptive control: models must handle non-stationary signals, inter-subject variability, and context dependence, and must deliver unc…
• Agentic AI as a coordination paradigm in digital health and agri-food systems
  2026 · AI 安全与对齐 · Digital health and agri-food data systems increasingly rely on sophisticated machine learning and data-sharing infrastructures. Yet persistent challenges in scalability, accountability, and public trust indicate that tec…
• Evaluating sentiment and spatial patterns of EV charging station user experience with AI-agents
  2025 · AI Agent 生态 · As electric vehicle charging stations (EVCSs) continue to expand in urban settings, evaluating user experiences is critical for ensuring functional, accessible, and context-sensitive infrastructure. This study applies AI…
• Enhancing Trust in Human-AI Collaboration: A Conceptual Review of Operator-AI Teamwork
  2025 · AI 安全与对齐 · Trust is vital to collaborative work between opera-tors and AI. Yet, important elements of its nature remain to be investigated, including the dynamic process of trust formation, growth, decline, and even death between a…
• Emergent Cooperation Between Human and Artificial Intelligence: A Reflexive Case Study
  2025 · AI 安全与对齐 · This study presents a reflexive case analysis of emergent cooperation between a human researcher and the GPT-5 model. Based on more than 16,000 recorded human–AI interactions, the research explores how reflexivity, conce…
• Cognition-Inspired Interactive Frameworks for Human-AI Alignment
  2025 · AI 安全与对齐 · Ensuring human-AI alignment is crucial as AI systems increasingly influence high-stake decision-making.However, existing approaches often rely on static interpretations of user intentions, failing to account for the dyna…
• EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support
  2024 · AI Agent 生态 · In general, educational support with Large Language Models (LLMs) faces challenges in knowledge organization, expertise integration, and contextual adaptation. So, we present EduMAS, a novel multi-agent framework that co…
• Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
  2024 · AI Agent 生态 · Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However, existing editable scene simulation approaches face limitations in terms of us…
• Resonance as a Design Strategy for AI and Social Robots
  2022 · AI 安全与对齐 · Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of reson…
• Preserving paradata for accountability of semi-autonomous AI agents in dynamic environments: An archival perspective
  2024 · AI Agent 生态 · This paper proposes the category of real-time artificial intelligence (AI) systems as an application of computerized control systems in dynamic, time-constrained contexts normally managed by human intelligence. Noting th…
• Enhancing Human-Computer Interaction in Socially Inclusive Contexts: Flow Heuristics and AI Systems in Compliance with DIN EN ISO 9241 Standards
  2024 · AI 安全与对齐 · In the domain of generative Artificial Intelligence (AI), the deployment of user-centered Human-Computer Interaction (HCI) methodologies, compliant with the DIN EN ISO 9241 standard, furnishes a substantive methodologica…
• Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced User Adoption
  2024 · AI 安全与对齐 · My research centers on the development of context-adaptive AI systems to improve end-user adoption through the integration of technical methods. I deploy these AI systems across various interaction modalities, including …
• Chemical Detection Using Mobile Platforms and AI-Based Data Processing Technologies
  2025 · AI 安全与对齐 · The development of reliable gas sensors is very important in many fields such as safety, environment, and agriculture, and is especially essential for industrial waste and air pollution monitoring. As the performance of …

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