Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

G He, G Demartini, U Gadiraju - arxiv preprint arxiv:2502.01390, 2025 - arxiv.org
Since the explosion in popularity of ChatGPT, large language models (LLMs) have
continued to impact our everyday lives. Equipped with external tools that are designed for a …

Why am I willing to collaborate with AI? Exploring the desire for collaboration in human-AI hybrid group brainstorming

S Chen, Y Zhao - Kybernetes, 2025 - emerald.com
Purpose Human-artificial intelligence (AI) collaboration, as a new form of cooperative
interaction, has been applied in brainstorming activities. This study aims to explore the …

Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability

M Westphal, P Hemmer, M Vössing… - ACM Transactions on …, 2025 - dl.acm.org
Recent work has proposed AI models that can learn to decide whether to make a prediction
for a task instance or to delegate it to a human by considering both parties' capabilities. In …

Framework for human–XAI symbiosis: extended self from the dual-process theory perspective

Y Litvinova, P Mikalef, X Luo - Journal of Business Analytics, 2024 - Taylor & Francis
The use of artificial intelligence (AI)-based decision support systems (DSSs) is expected to
enable superior human–XAI performance. To enhance decision-making performance …

Fostering effective hybrid human-LLM reasoning and decision making

A Passerini, A Gema, P Minervini, B Sayin… - Frontiers in Artificial …, 2025 - frontiersin.org
The impressive performance of modern Large Language Models (LLMs) across a wide
range of tasks, along with their often non-trivial errors, has garnered unprecedented …

Confidence-weighted integration of human and machine judgments for superior decision-making

F Yáñez, X Luo, OV Minero, BC Love - arxiv preprint arxiv:2408.08083, 2024 - arxiv.org
Large language models (LLMs) have emerged as powerful tools in various domains. Recent
studies have shown that LLMs can surpass humans in certain tasks, such as predicting the …

In human–machine trust, humans rely on a simple averaging strategy

J Love, QF Gronau, G Palmer, A Eidels… - … Research: Principles and …, 2024 - Springer
With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning
to the way that humans and AI work together. A key aspect of human–AI collaboration is how …

Personalized complementarity in human-AI collaboration

K Breckner, T Neumayr, M Streit, M Augstein - Mensch und Computer 2024 …, 2024 - dl.gi.de
Uncertainty and the potential for complementarity between humans and AI have shaped a
new kind of interaction, typically referred to as a collaborative relationship. In this paper, we …

Combining Human and AI Strengths in Object Counting under Information Asymmetry

S Liu, M Steyvers - Proceedings of the AAAI Conference on Human …, 2024 - ojs.aaai.org
With the recent development of artificial intelligence (AI), hybrid human-AI teams have
gained more attention and have been employed to solve all kinds of problems. However …

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration

P Spitzer, J Holstein, K Morrison, K Holstein… - arxiv preprint arxiv …, 2024 - arxiv.org
Across various applications, humans increasingly use black-box artificial intelligence (AI)
systems without insight into these systems' reasoning. To counter this opacity, explainable AI …