Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
Fuente:
arXiv
Saved in:
| Main Authors: | Kruschel, Sven, Bohlen, Lasse, Rosenberger, Julian, Zschech, Patrick, Kraus, Mathias |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can Conversational XAI Improve User Performance? An Experimental Study
by: Kruschel, Sven, et al.
Published: (2026)
by: Kruschel, Sven, et al.
Published: (2026)
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
by: Rosenberger, Julian, et al.
Published: (2025)
by: Rosenberger, Julian, et al.
Published: (2025)
Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior?
by: Bohlen, Lasse, et al.
Published: (2025)
by: Bohlen, Lasse, et al.
Published: (2025)
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
by: Kruschel, Sven, et al.
Published: (2024)
by: Kruschel, Sven, et al.
Published: (2024)
The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment
by: Rosenberger, Julian, et al.
Published: (2025)
by: Rosenberger, Julian, et al.
Published: (2025)
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
by: Pätz, Lukas, et al.
Published: (2025)
by: Pätz, Lukas, et al.
Published: (2025)
Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions
by: Gümmer, Paul, et al.
Published: (2025)
by: Gümmer, Paul, et al.
Published: (2025)
CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations
by: Rosenberger, Julian, et al.
Published: (2025)
by: Rosenberger, Julian, et al.
Published: (2025)
Streaming, Fast and Slow: Cognitive Load-Aware Streaming for Efficient LLM Serving
by: Xiao, Chang, et al.
Published: (2025)
by: Xiao, Chang, et al.
Published: (2025)
Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training
by: Nasri, Mahsa, et al.
Published: (2024)
by: Nasri, Mahsa, et al.
Published: (2024)
Cluster-Based Random Forest Visualization and Interpretation
by: Sondag, Max, et al.
Published: (2025)
by: Sondag, Max, et al.
Published: (2025)
Multi-Domain EEG Representation Learning with Orthogonal Mapping and Attention-based Fusion for Cognitive Load Classification
by: Angkan, Prithila, et al.
Published: (2025)
by: Angkan, Prithila, et al.
Published: (2025)
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
by: Feng, Zezheng, et al.
Published: (2024)
by: Feng, Zezheng, et al.
Published: (2024)
Understanding Bias in Perceiving Dimensionality Reduction Projections
by: Doh, Seoyoung, et al.
Published: (2025)
by: Doh, Seoyoung, et al.
Published: (2025)
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
by: Nofshin, Eura, et al.
Published: (2024)
by: Nofshin, Eura, et al.
Published: (2024)
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids
by: Hier, Daniel B., et al.
Published: (2024)
by: Hier, Daniel B., et al.
Published: (2024)
Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict
by: Hofmann, Simon, et al.
Published: (2025)
by: Hofmann, Simon, et al.
Published: (2025)
Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
by: Xu, Songlin, et al.
Published: (2025)
by: Xu, Songlin, et al.
Published: (2025)
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024)
by: Salmanian, Parisa, et al.
Published: (2024)
Predicting Driver's Perceived Risk: a Model Based on Semi-Supervised Learning Strategy
by: Huang, Siwei, et al.
Published: (2025)
by: Huang, Siwei, et al.
Published: (2025)
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
by: Salles, Isadora, et al.
Published: (2024)
by: Salles, Isadora, et al.
Published: (2024)
Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR
by: Setu, Jyotirmay Nag, et al.
Published: (2024)
by: Setu, Jyotirmay Nag, et al.
Published: (2024)
GUIDE: Real-Time Human-Shaped Agents
by: Zhang, Lingyu, et al.
Published: (2024)
by: Zhang, Lingyu, et al.
Published: (2024)
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
Hierarchical Neural Additive Models for Interpretable Demand Forecasts
by: Feddersen, Leif, et al.
Published: (2024)
by: Feddersen, Leif, et al.
Published: (2024)
Mitigating Cognitive Biases in Multi-Criteria Crowd Assessment
by: Ito, Shun, et al.
Published: (2024)
by: Ito, Shun, et al.
Published: (2024)
Intrinsic User-Centric Interpretability through Global Mixture of Experts
by: Swamy, Vinitra, et al.
Published: (2024)
by: Swamy, Vinitra, et al.
Published: (2024)
Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
by: Khalid, Adia, et al.
Published: (2025)
by: Khalid, Adia, et al.
Published: (2025)
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
by: Jiang, Xiaowei, et al.
Published: (2024)
by: Jiang, Xiaowei, et al.
Published: (2024)
Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs
by: Yang, Xiaoxiao, et al.
Published: (2025)
by: Yang, Xiaoxiao, et al.
Published: (2025)
Cognitive State Inference from VR Motion via Motion Foundation Model
by: Wen, Kaiang, et al.
Published: (2025)
by: Wen, Kaiang, et al.
Published: (2025)
Visualization Tasks for Unlabeled Graphs
by: Oddo, Matt I. B., et al.
Published: (2025)
by: Oddo, Matt I. B., et al.
Published: (2025)
Investigating Labeler Bias in Face Annotation for Machine Learning
by: Haliburton, Luke, et al.
Published: (2023)
by: Haliburton, Luke, et al.
Published: (2023)
CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
by: Sun, Black, et al.
Published: (2025)
by: Sun, Black, et al.
Published: (2025)
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
by: Fan, Mengchen, et al.
Published: (2024)
by: Fan, Mengchen, et al.
Published: (2024)
Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals
by: Sharmin, Shayla, et al.
Published: (2025)
by: Sharmin, Shayla, et al.
Published: (2025)
Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP
by: Sattiraju, Sriram, et al.
Published: (2026)
by: Sattiraju, Sriram, et al.
Published: (2026)
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
by: Podo, Luca, et al.
Published: (2024)
by: Podo, Luca, et al.
Published: (2024)
Uncertainty Tube Visualization of Particle Trajectories
by: Li, Jixian, et al.
Published: (2025)
by: Li, Jixian, et al.
Published: (2025)
Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech
by: Withanage, Thanushi, et al.
Published: (2026)
by: Withanage, Thanushi, et al.
Published: (2026)
Similar Items
-
Can Conversational XAI Improve User Performance? An Experimental Study
by: Kruschel, Sven, et al.
Published: (2026) -
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
by: Rosenberger, Julian, et al.
Published: (2025) -
Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior?
by: Bohlen, Lasse, et al.
Published: (2025) -
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
by: Kruschel, Sven, et al.
Published: (2024) -
The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment
by: Rosenberger, Julian, et al.
Published: (2025)