14 citations · 22 across the 13 of their papers we have counts for
3 papers · 1 filter
When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration
AI Collaboration, Jiaying Wu, Caleb Ziems +19
We aim to characterise the value of artificial intelligence in the workplace. Current studies largely measure this value in terms of the current automation capabilities and public…
Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions
Tianqi Song, Yugin Tan, Zicheng Zhu +2
Multi-agent systems - systems with multiple independent AI agents working together to achieve a common goal - are becoming increasingly prevalent in daily life. Drawing inspiration…
Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
Jingshu Li, Yitian Yang, Renwen Zhang +4
Providing well-calibrated AI confidence can help promote users' appropriate trust in and reliance on AI, which are essential for AI-assisted decision-making. However, calibrating A…