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Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
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 …
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 …
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
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 …
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
The use of artificial intelligence (AI)-based decision support systems (DSSs) is expected to
enable superior human–XAI performance. To enhance decision-making performance …
enable superior human–XAI performance. To enhance decision-making performance …
Fostering effective hybrid human-LLM reasoning and decision making
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 …
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
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 …
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
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 …
to the way that humans and AI work together. A key aspect of human–AI collaboration is how …
Personalized complementarity in human-AI collaboration
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 …
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 …
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
Across various applications, humans increasingly use black-box artificial intelligence (AI)
systems without insight into these systems' reasoning. To counter this opacity, explainable AI …
systems without insight into these systems' reasoning. To counter this opacity, explainable AI …