Copertina

Explainable Interface for Human-Autonomy Teaming: A Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kong, Xiangqi, Xing, Yang, Tsourdos, Antonios, Wang, Ziyue, Guo, Weisi, Perrusquia, Adolfo, Wikander, Andreas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning What Matters Now: A Dual-Critic Context-Aware RL Framework for Priority-Driven Information Gain
di: Panagopoulos, Dimitris, et al.
Pubblicazione: (2025)

A Signal Contract for Online Language Grounding and Discovery in Decision-Making
di: Panagopoulos, Dimitris, et al.
Pubblicazione: (2025)

Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
di: Panda, Deepak Kumar, et al.
Pubblicazione: (2025)

Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
di: Wisniewski, Mariusz, et al.
Pubblicazione: (2024)

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
di: Shin, Hyo-Sang, et al.
Pubblicazione: (2019)

Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input
di: Panagopoulos, Dimitrios, et al.
Pubblicazione: (2024)

Dialogue Telemetry: Turn-Level Instrumentation for Autonomous Information Gathering
di: Panagopoulos, Dimitris, et al.
Pubblicazione: (2026)

Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing
di: Chen, Hongqian, et al.
Pubblicazione: (2025)

AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
di: Claudel, Noe, et al.
Pubblicazione: (2026)

How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
di: Nguyen, Thu, et al.
Pubblicazione: (2024)

Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics
di: Zou, Mengbang, et al.
Pubblicazione: (2025)

Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming
di: Lakhnati, Younes, et al.
Pubblicazione: (2023)

A Survey on Explainable Deep Reinforcement Learning
di: Cheng, Zelei, et al.
Pubblicazione: (2025)

Agent-Environment Alignment via Automated Interface Generation
di: Liu, Kaiming, et al.
Pubblicazione: (2025)

Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface
di: Wei, Zhuangkun, et al.
Pubblicazione: (2024)

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
di: Su, Hang, et al.
Pubblicazione: (2025)

Simulating Human-like Daily Activities with Desire-driven Autonomy
di: Wang, Yiding, et al.
Pubblicazione: (2024)

AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
di: Hagos, Desta Haileselassie, et al.
Pubblicazione: (2024)

Advancing Frontiers in SLAM: A Survey of Symbolic Representation and Human-Machine Teaming in Environmental Mapping
di: Colelough, Brandon Curtis
Pubblicazione: (2024)

Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace
di: Panda, Deepak Kumar, et al.
Pubblicazione: (2025)

Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
di: Panda, Deepak Kumar, et al.
Pubblicazione: (2025)

Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection
di: Yang, Ziyue, et al.
Pubblicazione: (2025)

A Decoupled Human-in-the-Loop System for Controlled Autonomy in Agentic Workflows
di: Cheng, Edward, et al.
Pubblicazione: (2026)

Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone
di: Gomez, Catalina, et al.
Pubblicazione: (2024)

Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
di: Wang, Yizhou, et al.
Pubblicazione: (2023)

Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
di: Zou, Mengbang, et al.
Pubblicazione: (2024)

Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
di: Yuan, Jinsheng, et al.
Pubblicazione: (2024)

Flight Testing an Optionally Piloted Aircraft: a Case Study on Trust Dynamics in Human-Autonomy Teaming
di: Wang, Jeremy C. -H., et al.
Pubblicazione: (2025)

SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework
di: Wu, Tianshu, et al.
Pubblicazione: (2026)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
di: Qing, Yunpeng, et al.
Pubblicazione: (2022)

A Critical Survey on Fairness Benefits of Explainable AI
di: Deck, Luca, et al.
Pubblicazione: (2023)

TeamLLM: A Human-Like Team-Oriented Collaboration Framework for Multi-Step Contextualized Tasks
di: Wang, Xiangyu, et al.
Pubblicazione: (2026)

HCAST: Human-Calibrated Autonomy Software Tasks
di: Rein, David, et al.
Pubblicazione: (2025)

Dual Optimal: Make Your LLM Peer-like with Dignity
di: Wang, Xiangqi, et al.
Pubblicazione: (2026)

Explainability in Practice: A Survey of Explainable NLP Across Various Domains
di: Mohammadi, Hadi, et al.
Pubblicazione: (2025)

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
di: Rong, Yao, et al.
Pubblicazione: (2022)

Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming
di: Sheng, Wei, et al.
Pubblicazione: (2026)

Human-AI Teaming Co-Learning in Military Operations
di: Maathuis, Clara, et al.
Pubblicazione: (2025)

Explainable Human-AI Interaction: A Planning Perspective
di: Sreedharan, Sarath, et al.
Pubblicazione: (2024)

Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research
di: Kapitonova, Maryna, et al.
Pubblicazione: (2024)