Image de couverture de livre

Making Sense of Knowledge Intensive Processes: an Oil & Gas Industry Scenario

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ferreira, Juliana Jansen, Segura, Vinícius, Fucs, Ana, de Paula, Rogério
Format:	Preprint
Publié:	2024
Sujets:	Human-Computer Interaction Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
par: Ferreira, Juliana Jansen, et autres
Publié: (2025)

Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems
par: Freire, Samuel Kernan, et autres
Publié: (2024)

A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarios
par: Wise, Anthony, et autres
Publié: (2025)

The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring
par: Chae, Soobin, et autres
Publié: (2025)

Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process
par: Zhang, Zelun Tony, et autres
Publié: (2024)

From Prompts to Worlds: How Users Iterate, Explore, and Make Sense of AI-Generated 3D Environments
par: Pyae, Aung
Publié: (2026)

Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
par: Barnett, Julia, et autres
Publié: (2025)

Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care
par: Clark, Jeffrey N., et autres
Publié: (2024)

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
par: Dhaini, Mahdi, et autres
Publié: (2025)

The Evolution of LLM Adoption in Industry Data Curation Practices
par: Qian, Crystal, et autres
Publié: (2024)

G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios
par: Wang, Zeyu, et autres
Publié: (2024)

Using AI for User Representation: An Analysis of 83 Persona Prompts
par: Salminen, Joni, et autres
Publié: (2025)

Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption
par: Übellacker, Thomas
Publié: (2025)

InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios
par: Yu, Chenglin, et autres
Publié: (2025)

How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights
par: Amin, Danial, et autres
Publié: (2026)

Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios
par: Puphal, Tim, et autres
Publié: (2024)

Determinants of LLM-assisted Decision-Making
par: Eigner, Eva, et autres
Publié: (2024)

Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarios
par: Karthikeyan, Hareeshwar
Publié: (2025)

Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review
par: Bach, Tita A., et autres
Publié: (2023)

Situated, Dynamic, and Subjective: Envisioning the Design of Theory-of-Mind-Enabled Everyday AI with Industry Practitioners
par: Wang, Qiaosi, et autres
Publié: (2026)

Biased AI can Influence Political Decision-Making
par: Fisher, Jillian, et autres
Publié: (2024)

Context-aware Adaptive Visualizations for Critical Decision Making
par: Lopez-Cardona, Angela, et autres
Publié: (2025)

Human Decision-Making with Persuasive and Narrative LLM Explanations
par: Marusich, Laura R., et autres
Publié: (2026)

The Impact of Imperfect XAI on Human-AI Decision-Making
par: Morrison, Katelyn, et autres
Publié: (2023)

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
par: Schoeffer, Jakob, et autres
Publié: (2022)

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations
par: Grand-Clément, Julien, et autres
Publié: (2022)

Can AI Explanations Make You Change Your Mind?
par: Spillner, Laura, et autres
Publié: (2025)

Using AI Uncertainty Quantification to Improve Human Decision-Making
par: Marusich, Laura R., et autres
Publié: (2023)

Supporting Data-Frame Dynamics in AI-assisted Decision Making
par: Zheng, Chengbo, et autres
Publié: (2025)

On Evaluating Explanation Utility for Human-AI Decision Making in NLP
par: Chaleshtori, Fateme Hashemi, et autres
Publié: (2024)

The Rise of the Knowledge Sculptor: A New Archetype for Knowledge Work in the Age of Generative AI
par: Doyle, Cathal
Publié: (2025)

Leveraging Foundation Models for Zero-Shot IoT Sensing
par: Xue, Dinghao, et autres
Publié: (2024)

2-Factor Retrieval for Improved Human-AI Decision Making in Radiology
par: Solomon, Jim, et autres
Publié: (2024)

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs
par: Xiao, Xingyu, et autres
Publié: (2025)

The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making
par: Garcia, Basile, et autres
Publié: (2024)

Exploring Conversational Agents as an Effective Tool for Measuring Cognitive Biases in Decision-Making
par: Pilli, Stephen
Publié: (2024)

Making AI Drafts Count: A Quality Threshold in Audio Description Workflows
par: Do, Lana, et autres
Publié: (2026)

Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
par: Pilli, Stephen, et autres
Publié: (2026)

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
par: Jabbour, Sarah, et autres
Publié: (2025)

Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
par: Swaroop, Siddharth, et autres
Publié: (2023)