Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Siebers, Peer-Olaf
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Artificial Intelligence Computation and Language Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
by: Pu, Kevin, et al.
Published: (2025)

Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
by: Chopra, Bhavya, et al.
Published: (2024)

From Human-to-Human to Human-to-Bot Conversations in Software Engineering
by: Khojah, Ranim, et al.
Published: (2024)

LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System
by: Olowe, Emmanuel A., et al.
Published: (2024)

Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
by: Jin, Claire, et al.
Published: (2024)

How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
by: Bai, Longju, et al.
Published: (2026)

ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
by: Bond, Yeana Lee, et al.
Published: (2025)

On AI-Inspired UI-Design
by: Wei, Jialiang, et al.
Published: (2024)

NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
by: Zhang, Wenshuo, et al.
Published: (2025)

Using Large Language Models to Enhance Programming Error Messages
by: Leinonen, Juho, et al.
Published: (2022)

Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions
by: Flerlage, Justus, et al.
Published: (2025)

Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development
by: Escobedo, Salvador D.
Published: (2025)

Wink: Recovering from Misbehaviors in Coding Agents
by: Nanda, Rahul, et al.
Published: (2026)

Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
by: Cabrero-Daniel, Beatriz, et al.
Published: (2024)

AI Agents for Web Testing: A Case Study in the Wild
by: Ye, Naimeng, et al.
Published: (2025)

Investigating Multimodal Large Language Models to Support Usability Evaluation
by: Lubos, Sebastian, et al.
Published: (2025)

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025
by: Huang, Ruanqianqian, et al.
Published: (2025)

ComboBench: Can LLMs Manipulate Physical Devices to Play Virtual Reality Games?
by: Li, Shuqing, et al.
Published: (2025)

LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
by: Steigerwald, Philipp, et al.
Published: (2026)

A Phenomenological Approach to Analyzing User Queries in IT Systems Using Heidegger's Fundamental Ontology
by: Vishnevskiy, Maksim
Published: (2025)

From Signal to Turn: Interactional Friction in Modular Speech-to-Speech Pipelines
by: Mairittha, Tittaya, et al.
Published: (2025)

Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization
by: Seo, Wonduk, et al.
Published: (2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
by: Mozannar, Hussein, et al.
Published: (2024)

Agentic Metacognition: Designing a "Self-Aware" Low-Code Agent for Failure Prediction and Human Handoff
by: Xu, Jiexi
Published: (2025)

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output
by: Chen, Eason, et al.
Published: (2025)

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
by: Treude, Christoph, et al.
Published: (2025)

From Correctness to Collaboration: Toward a Human-Centered Framework for Evaluating AI Agent Behavior in Software Engineering
by: Dong, Tao, et al.
Published: (2025)

Analysis, Modeling and Design of Personalized Digital Learning Environment
by: Khanal, Sanjaya, et al.
Published: (2024)

When Web Apps Heal Themselves: A MAPE-K Based Approach to Fault Tolerance and Adaptive Recovery
by: Aribe Jr, Sales, et al.
Published: (2026)

Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling
by: Kumar, Sumit, et al.
Published: (2025)

AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
by: Becerra, Alvaro, et al.
Published: (2026)

Context Branching for LLM Conversations: A Version Control Approach to Exploratory Programming
by: Nanjundappa, Bhargav Chickmagalur, et al.
Published: (2025)

Understanding the Weakness of Large Language Model Agents within a Complex Android Environment
by: Xing, Mingzhe, et al.
Published: (2024)

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
by: Yang, John, et al.
Published: (2024)

The SPACE of AI: Real-World Lessons on AI's Impact on Developers
by: Houck, Brian, et al.
Published: (2025)

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
by: Dibia, Victor, et al.
Published: (2024)

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
by: An, Hyunjn, et al.
Published: (2025)

Comparing Code Explanations Created by Students and Large Language Models
by: Leinonen, Juho, et al.
Published: (2023)

Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
by: Pasch, Stefan
Published: (2025)

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
by: Treude, Christoph, et al.
Published: (2025)