Cover Image

The Human-Data-Model Interaction Canvas for Visual Analytics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bernard, Jürgen
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models
by: Wang, Huanchen, et al.
Published: (2025)

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

FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
by: Kleinau, Anna, et al.
Published: (2025)

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
by: Bhattacharjee, Kaustav, et al.
Published: (2023)

Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation
by: Vaaras, Einari, et al.
Published: (2026)

ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
by: Kahng, Minsuk, et al.
Published: (2024)

VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
by: Bertucci, Donald, et al.
Published: (2024)

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

Epistemology gives a Future to Complementarity in Human-AI Interactions
by: Ferrario, Andrea, et al.
Published: (2026)

Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program
by: Peters, Heinrich, et al.
Published: (2023)

iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
by: Coscia, Adam, et al.
Published: (2024)

Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
by: Okumura, Ryota, et al.
Published: (2025)

Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
by: Xu, Songlin, et al.
Published: (2025)

Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
by: Rojo, Diego, et al.
Published: (2024)

ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
by: Andrienko, Natalia, et al.
Published: (2026)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
by: Luera, Reuben, et al.
Published: (2024)

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)

Influencing Humans to Conform to Preference Models for RLHF
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)

Inference-Time Policy Steering through Human Interactions
by: Wang, Yanwei, et al.
Published: (2024)

Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks
by: Sateesh, Shyam K, et al.
Published: (2024)

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
by: Nguyen, Elisa, et al.
Published: (2024)

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
by: Hohman, Fred, et al.
Published: (2024)

A Model for Intelligible Interaction Between Agents That Predict and Explain
by: Baskar, A., et al.
Published: (2023)

LLM Attributor: Interactive Visual Attribution for LLM Generation
by: Lee, Seongmin, et al.
Published: (2024)

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

Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations
by: Kim, Edward, et al.
Published: (2025)

Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
by: Sivaprasad, Adarsa, et al.
Published: (2023)

Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
by: Boggust, Angie, et al.
Published: (2024)

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models
by: Coscia, Adam, et al.
Published: (2025)

RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview
by: Lee, Min Hun, et al.
Published: (2026)

Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics
by: Moreira, Gustavo, 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)

Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
by: Su, Yiheng, et al.
Published: (2023)

GQVis: A Dataset of Genomics Data Questions and Visualizations for Generative AI
by: Walters, Skylar Sargent, et al.
Published: (2025)

Human Expertise in Algorithmic Prediction
by: Alur, Rohan, et al.
Published: (2024)

Explainability for Machine Learning Models: From Data Adaptability to User Perception
by: Delaunay, julien
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)

Agent AI: Surveying the Horizons of Multimodal Interaction
by: Durante, Zane, et al.
Published: (2024)