Imagen de Portada

Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Haichang, Zhu, Anjun, Narechania, Arpit
Formato:	Preprint
Publicado:	2026
Materias:	Human-Computer Interaction Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis
por: Narechania, Arpit, et al.
Publicado: (2025)

Agentic Enterprise: AI-Centric User to User-Centric AI
por: Narechania, Arpit, et al.
Publicado: (2025)

What AIs are not Learning (and Why)
por: Stefik, Mark
Publicado: (2024)

Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration
por: Li, Haichang, et al.
Publicado: (2026)

Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations
por: Narechania, Arpit, et al.
Publicado: (2025)

Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
por: Ouyang, Jianheng, et al.
Publicado: (2026)

Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek
por: Huang, Yanwei, et al.
Publicado: (2026)

Do Consumers Accept AIs as Moral Compliance Agents?
por: Nyilasy, Greg, et al.
Publicado: (2026)

Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
por: Kim, Garyoung, et al.
Publicado: (2025)

Embedding Democratic Values into Social Media AIs via Societal Objective Functions
por: Jia, Chenyan, et al.
Publicado: (2023)

Memory as a Service (MaaS): Rethinking Contextual Memory as Service-Oriented Modules for Collaborative Agents
por: Li, Haichang
Publicado: (2025)

Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions
por: Zhu, Gaoxia, et al.
Publicado: (2024)

The AI Double Standard: Humans Judge All AIs for the Actions of One
por: Manoli, Aikaterina, et al.
Publicado: (2024)

SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements
por: Verma, Antariksh, et al.
Publicado: (2026)

Interaction, Process, Infrastructure: A Unified Framework for Human-Agent Collaboration
por: Wang, Yun, et al.
Publicado: (2025)

Interactive AI Alignment: Specification, Process, and Evaluation Alignment
por: Terry, Michael, et al.
Publicado: (2023)

Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
por: Chung, Ray-Yuan, et al.
Publicado: (2026)

vitaLITy 2: Reviewing Academic Literature Using Large Language Models
por: An, Hongye, et al.
Publicado: (2024)

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making
por: Chen, Zichen, et al.
Publicado: (2025)

Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment
por: Ahn, Yongsu, et al.
Publicado: (2026)

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
por: Gao, Yiming, et al.
Publicado: (2024)

AI coach for badminton
por: Toshniwal, Dhruv, et al.
Publicado: (2024)

Beyond Input-Output: Rethinking Creativity through Design-by-Analogy in Human-AI Collaboration
por: Li, Xuechen, et al.
Publicado: (2026)

Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
por: Yao, Bingsheng, et al.
Publicado: (2025)

Unexploited Information Value in Human-AI Collaboration
por: Guo, Ziyang, et al.
Publicado: (2024)

Exploropleth: exploratory analysis of data binning methods in choropleth maps
por: Narechania, Arpit, et al.
Publicado: (2025)

How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
por: Nguyen, Thu, et al.
Publicado: (2024)

Channelling, Coordinating, Collaborating: A Three-Layer Framework for Disability-Centered Human-Agent Collaboration
por: Xiao, Lan, et al.
Publicado: (2026)

The Impact of Concept Explanations and Interventions on Human-Machine Collaboration
por: Furby, Jack, et al.
Publicado: (2025)

Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation
por: Holter, Steffen, et al.
Publicado: (2024)

SARD: A Human-AI Collaborative Story Generation
por: Radwan, Ahmed Y., et al.
Publicado: (2024)

Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
por: Hemmer, Patrick, et al.
Publicado: (2024)

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
por: Schneiders, Eike, et al.
Publicado: (2024)

The Alignment Floor: How Persona Customization Breaks Safety in Weakly-Aligned LLMs
por: Zhang, Xing, et al.
Publicado: (2026)

Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning
por: Daryanto, Taufiq, et al.
Publicado: (2026)

Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
por: Li, Haotian, et al.
Publicado: (2025)

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
por: Li, ZhaoBin, et al.
Publicado: (2026)

Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment
por: Abe, Yoshia, et al.
Publicado: (2026)

Evaluating Human-AI Collaboration: A Review and Methodological Framework
por: Fragiadakis, George, et al.
Publicado: (2024)

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
por: Spitzer, Philipp, et al.
Publicado: (2024)