Image de couverture de livre

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, David Chuan-En, Martelaro, Nikolas
Format:	Preprint
Publié:	2023
Sujets:	Human-Computer Interaction Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
par: Lin, David Chuan-En, et autres
Publié: (2025)

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation
par: Gmeiner, Frederic, et autres
Publié: (2025)

Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz
par: Gmeiner, Frederic, et autres
Publié: (2025)

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
par: Wang, Zijie J., et autres
Publié: (2024)

Multimodal Foundation Models for Early Disease Detection
par: Mohsin, Md Talha, et autres
Publié: (2025)

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space
par: Lin, David Chuan-En, et autres
Publié: (2022)

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
par: Taka, Evdoxia, et autres
Publié: (2025)

Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows
par: Gmeiner, Frederic, et autres
Publié: (2025)

Predictive AI Can Support Human Learning while Preserving Error Diversity
par: He, Vivianna Fang, et autres
Publié: (2025)

Recording First-person Experiences to Build a New Type of Foundation Model
par: Barcari, Dionis, et autres
Publié: (2024)

Agent AI: Surveying the Horizons of Multimodal Interaction
par: Durante, Zane, et autres
Publié: (2024)

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
par: Chignell, Mark, et autres
Publié: (2024)

Scaling Wearable Foundation Models
par: Narayanswamy, Girish, et autres
Publié: (2024)

Magma: A Foundation Model for Multimodal AI Agents
par: Yang, Jianwei, et autres
Publié: (2025)

Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
par: Wang, Yifan, et autres
Publié: (2024)

Advancing Brainwave Modeling with a Codebook-Based Foundation Model
par: Barmpas, Konstantinos, et autres
Publié: (2025)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications
par: Luera, Reuben, et autres
Publié: (2024)

Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
par: Mosleh, Maryam, et autres
Publié: (2025)

Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models
par: Širca, Urban, et autres
Publié: (2026)

A Nested Model for AI Design and Validation
par: Dubey, Akshat, et autres
Publié: (2024)

NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
par: Barmpas, Konstantinos, et autres
Publié: (2025)

COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcare
par: Li, Chia-Hao, et autres
Publié: (2024)

From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
par: Mozolewski, Maciej, et autres
Publié: (2025)

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
par: Buijsman, Stefan, et autres
Publié: (2025)

Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study
par: Kraft, Stefan, et autres
Publié: (2025)

SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
par: Darankoum, Davy, et autres
Publié: (2026)

Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
par: Wang, Chen, et autres
Publié: (2025)

Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI
par: Xu, Zeda, et autres
Publié: (2025)

The case for delegated AI autonomy for Human AI teaming in healthcare
par: Jia, Yan, et autres
Publié: (2025)

Reversing the Lens: Using Explainable AI to Understand Human Expertise
par: Rahman, Roussel, et autres
Publié: (2025)

Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
par: Dab, Nastaran, et autres
Publié: (2026)

Everyday AR through AI-in-the-Loop
par: Suzuki, Ryo, et autres
Publié: (2024)

CliMB: An AI-enabled Partner for Clinical Predictive Modeling
par: Saveliev, Evgeny, et autres
Publié: (2024)

Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems
par: Rajagopal, Shreya, et autres
Publié: (2024)

Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
par: Nasarian, Elham, et autres
Publié: (2023)

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

Multimodal Functional Maximum Correlation for Emotion Recognition
par: Zheng, Deyang, et autres
Publié: (2025)

Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
par: Iwai, Koki, et autres
Publié: (2025)

RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview
par: Lee, Min Hun, et autres
Publié: (2026)

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
par: Lee, Christine P, et autres
Publié: (2026)