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~ similar to 2607.20131· 19 results

cs.AIcs.HCRecentMay 30, 2026

Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems

Nicholas Davis

This paper proposes shifting the focus of AI research from isolated computational outputs to interaction dynamics, establishing 'Interaction-Centered Intelligence' as the primary framework for underst…

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cs.HCcs.AIEmpiricalRecentJun 12, 2026

Thinking Outside the [Chat]Box: Bridging Computer Science and Industrial Design for Cognitive-Inclusive Generative AI

Virginia Francisco, Daniel Guasch, Raquel Hervás

Two student cohorts designed cognitively accessible GenAI interfaces, leading to structural and experiential scaffolding concepts.

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cs.HCEmpiricalRecentJun 12, 2026

Fabula: Building a Narrative Storytelling Sidekick with the Writers' Community

Piotr Mirowski, Ben Wedin, Reinald Kim Amplayo, Rich Galt +13 more

This paper designs and evaluates Fabula, an interactive app for fiction writers using detailed narrative plans and participatory AI.

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cs.HCEmpiricalRecentJul 8, 2026

Two-player Alternate Uses Test: A Controlled Testbed for Interactive Human-AI and Human-Human Co-Creation

Babak Hemmatian, Anita Keshmirian, Yijun Lin, Shravan Ramamoorthy +8 more

This paper introduces a controlled, two-player extension of the Alternate Uses Test (AUT) for comparing human-human and human-AI co-creation under matched conditions, demonstrating equivalent original…

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cs.AIcs.CVcs.HCEmpiricalRecentJun 29, 2026

The Human Creativity Benchmark

Aspen Hopkins, Allison Nulty, Alexandria Minetti, Anoop Pakki +1 more

The Human Creativity Benchmark (HCB) is proposed to evaluate creative AI by preserving two distinct signals: convergence and divergence in professional judgments.

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cs.HCcs.AIEmpiricalRecentJul 8, 2026

Creativity from Friction: Human-AI Interaction for Exploratory Structural Design

Ricardo Maia Avelino, Rita Sevastjanova, Tom Van Mele, Philippe Block +1 more

This paper discusses the misalignment between current AI goals and the needs of creators in fields like structural design, and proposes a conversational, multimodal, and responsive AI system for const…

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cs.AIRecentMay 27, 2026

Towards Faithful Agentic XAI: A Verification Method and an Open-World Benchmark for Better Model Faithfulness

Jaechang Kim, Sunung Mun, Seungjoon Lee, Jaewoong Cho +1 more

The paper proposes Faithful Agentic XAI (FAX), a verification framework that explicitly checks LLM-generated explanations against model behavior, significantly improving explanation faithfulness on a…

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cs.AIRecentMay 28, 2026

Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models

Arturo Valdivia, Paolo Burelli

This paper proposes a multi-agent framework using LLMs to improve collaborative story generation, demonstrating that an iterative Writer-Editor process significantly enhances narrative quality for you…

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cs.CLRecentJun 1, 2026

AI as a Tool for Simulation-Based Experiments in Literary Studies

Matthew Wilkens

The paper outlines the potential for using generative AI to conduct large-scale, simulation-based experiments in literary studies, demonstrating initial results in generating constrained literary text…

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cs.HCcs.AIRecentMay 29, 2026

Developing a Culturally Grounded, AI-Augmented UX Research Point of View (POV): An Exemplar Case Study from Telemedicine Dementia Care

Abiodun Adedeji, Huseyin Dogan, Festus Adedoyin, Michelle Heward +4 more

This paper demonstrates the development of a culturally grounded, AI-augmented User Experience Research Point of View (POV) for a telemedicine dementia care framework in Nigeria, providing a replicabl…

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cs.HCcs.AIRecentMay 29, 2026

Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-Centred AI Systems

Festus Fatai Adedoyin, Huseyin Dogan, Melike Akca, Abiodun Adedeji

The paper extends the User Experience Research (UXR) Points of View (PoV) framework into an AI-augmented methodology specifically designed for guiding the development and governance of high-stakes, hu…

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cs.HCcs.AIEmpiricalRecentJul 22, 2026

A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace

Kathrin Paimann, Elizangela Valarini, Sebastian Juhl

This paper identifies and validates eight core UX principles for human-AI agent interaction in the workplace using a multi-method approach.

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cs.AIcs.CLcs.CYRecentMay 27, 2026

Show, Don't TELL: Explainable AI-Generated Text Detection

Aldan Creo, Suraj Ranganath

The paper introduces TELL, a novel explainable AI-generated text detection architecture that provides detailed, human-understandable explanations for its scores, achieving competitive performance whil…

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cs.HCEmpiricalRecentJun 26, 2026

HandMade: Spatial Prompting for Generative 3D Creation with Part-Labeled VR Sketches

Jialin Huang, Rana Hanocka, Ariel Shamir, Yotam Gingold

HandMade is a workflow that combines VR 3D sketching and language for open-domain 3D asset generation, allowing users to specify object layout and part relationships through 3D sketching and language.

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cs.CLRecentMay 30, 2026

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs

F. Carichon, S. Sharma, M. Girard, R. Rampa +1 more

The paper introduces IDEAFix, a systematic evaluation framework designed to analyze how structured prompting and task design influence the divergent thinking and originality of idea generation in LLMs…

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cs.HCcs.CYEmpiricalRecentJul 20, 2026

Informal Learning Emerges in Everyday Human-LLM Interaction

Zixin Chen, Haotian Li, Ziang Xiao, Huamin Qu +1 more

This paper analyzes large-scale human-LLM conversations to identify learning behaviors and their associated factors.

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cs.ROcs.HCEmpiricalRecentJul 3, 2026

Invisible Strings: Deriving Puppetry Principles and their Hidden Connections to Robot Behavior Design

Claire Lewis, Sawyer Collins, Alyssa Hanson, Johanna Smith +1 more

This paper derives puppetry principles for robot design, complementing prior insights from animation, theater, and dance.

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cs.CVcs.AIcs.CLRecentMay 28, 2026

Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs

Haozhe Zhao, Shuzheng Si, Zhenhailong Wang, Zheng Wang +5 more

The paper introduces Crafter, a multi-agent harness that significantly improves the generation of editable, publication-quality scientific figures from diverse inputs, addressing the limitations of ex…

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