Cover Image

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tariq, Shahroz, Chhetri, Mohan Baruwal, Nepal, Surya, Paris, Cecile
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
by: Tariq, Shahroz, et al.
Published: (2025)

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres
by: Singh, Ronal, et al.
Published: (2025)

Optimizing Delegation in Collaborative Human-AI Hybrid Teams
by: Fuchs, Andrew, et al.
Published: (2024)

HRI-SA: A Multimodal Dataset for Online Assessment of Human Situational Awareness during Remote Human-Robot Teaming
by: Senaratne, Hashini, et al.
Published: (2026)

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
by: Singh, Ronal, et al.
Published: (2025)

Confounding-Robust Policy Improvement with Human-AI Teams
by: Gao, Ruijiang, et al.
Published: (2023)

Adaptive alert prioritisation in security operations centres via learning to defer with human feedback
by: Jalalvand, Fatemeh, et al.
Published: (2025)

Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
by: Lee, Min Hun, et al.
Published: (2025)

Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
by: Lee, Min Hun, et al.
Published: (2024)

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
by: Spitzer, Philipp, et al.
Published: (2024)

CREW: Facilitating Human-AI Teaming Research
by: Zhang, Lingyu, et al.
Published: (2024)

The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams
by: Baker, Christopher, et al.
Published: (2026)

Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
by: Lee, Min Hun, et al.
Published: (2024)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
by: Gambetti, Alessandro, et al.
Published: (2025)

A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study
by: Senaratne, Hashini, et al.
Published: (2025)

A No Free Lunch Theorem for Human-AI Collaboration
by: Peng, Kenny, et al.
Published: (2024)

Human-AI Collaborative Uncertainty Quantification
by: Noorani, Sima, et al.
Published: (2025)

On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
by: Yu, Guanghui, et al.
Published: (2024)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
by: Mozannar, Hussein, et al.
Published: (2023)

Collaborative Causal Sensemaking: Closing the Complementarity Gap in Human-AI Decision Support
by: Jain, Raunak
Published: (2025)

Human-Computer Interaction and Human-AI Collaboration in Advanced Air Mobility: A Comprehensive Review
by: Sagirli, Fatma Yamac, et al.
Published: (2024)

A Survey on Federated Learning in Human Sensing
by: Li, Mohan, et al.
Published: (2025)

Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)

MedSyn: Enhancing Diagnostics with Human-AI Collaboration
by: Sayin, Burcu, et al.
Published: (2025)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
by: He, Jinghai, et al.
Published: (2024)

Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration
by: McGrath, Melanie J., et al.
Published: (2024)

Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
by: Beck, Edgar, et al.
Published: (2024)

Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)

Conformal Prediction Sets Improve Human Decision Making
by: Cresswell, Jesse C., et al.
Published: (2024)

Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
by: Savage, Tom, et al.
Published: (2024)

From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
by: Lee, Min Hun
Published: (2026)

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
by: Punzi, Clara, et al.
Published: (2024)

ZIA: A Theoretical Framework for Zero-Input AI
by: De, Aditi
Published: (2025)

Towards a criteria-based approach to selecting human-AI interaction mode
by: Irons, Jessica, et al.
Published: (2024)

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
by: Chignell, Mark, et al.
Published: (2024)

Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration
by: Amin, Hasan, et al.
Published: (2026)

Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
by: Chen, Dian, et al.
Published: (2025)

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
by: Wang, Tianfu, et al.
Published: (2026)

The Collaboration Gap in Human-AI Work
by: Vishwarupe, Varad, et al.
Published: (2026)

A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
by: Deng, Ziquan, et al.
Published: (2024)