:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	De, Aditi
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Machine Learning
Online Access:	https://arxiv.org/abs/2502.16124
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Typing Reinvented: Towards Hands-Free Input via sEMG
by: Lee, Kunwoo, et al.
Published: (2025)

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
by: Tariq, Shahroz, et al.
Published: (2024)

A Hands-free Spatial Selection and Interaction Technique using Gaze and Blink Input with Blink Prediction for Extended Reality
by: Rolff, Tim, et al.
Published: (2025)

Translating Multimodal AI into Real-World Inspection: TEMAI Evaluation Framework and Pathways for Implementation
by: Li, Zehan, et al.
Published: (2025)

A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction
by: Christensen, Kristoffer, et al.
Published: (2025)

Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
by: Rabiee, Ali, et al.
Published: (2025)

Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework
by: Carvell, Ben, et al.
Published: (2026)

Towards Human-AI Complementarity with Prediction Sets
by: De Toni, Giovanni, et al.
Published: (2024)

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

TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks
by: Chen, Yuexi, et al.
Published: (2024)

A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
by: Huang, Zeyang, et al.
Published: (2026)

AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
by: Tang, Jinwen, et al.
Published: (2025)

The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations
by: Wolczynski, Nicholas, et al.
Published: (2024)

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

Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
by: Barbu, Eduard, et al.
Published: (2024)

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
by: Ayan, Md Muntasir Jahid, et al.
Published: (2026)

Towards Human-AI Complementarity in Matching Tasks
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2025)

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework
by: Metz, Yannick, 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)

The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment
by: Rosenberger, Julian, et al.
Published: (2025)

CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
by: Sun, Black, et al.
Published: (2025)

Visualizing Routes with AI-Discovered Street-View Patterns
by: Wu, Tsung Heng, et al.
Published: (2024)

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

KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI
by: Barua, Saikat, et al.
Published: (2023)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
by: Chari, Shruthi, et al.
Published: (2025)

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by: Huang, Yiran, et al.
Published: (2024)

A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
by: Chen, Chi-Sheng, et al.
Published: (2026)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
by: Gong, Jiahui, et al.
Published: (2024)

Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
by: Tarun, Bhavishya, et al.
Published: (2025)

Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
by: Beck, Jacob, et al.
Published: (2025)

Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
by: Ding, Shi, et al.
Published: (2025)

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
by: Cadavid, Héctor, et al.
Published: (2025)

SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers
by: Cao, Hangcheng, et al.
Published: (2025)

No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction
by: Bary, Tim, et al.
Published: (2025)

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

Distinguishing performance gains from learning when using generative AI
by: Yan, Lixiang, et al.
Published: (2026)

FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights
by: Li, Gaoxuan, et al.
Published: (2024)

A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialogue
by: Pareek, Anant
Published: (2025)

Clinician input steers frontier AI models toward both accurate and harmful decisions
by: Lopez, Ivan, et al.
Published: (2026)

An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
by: Sisneros, Robert, et al.
Published: (2024)