The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes
arXiv:2601.16356v1 Announce Type: new Abstract: Large Language Model (LLM)-powered web GUI agents are increasingly automating everyday online tasks. Despite their popularity, little is known about how users’ preferences and values impact agents’ reasoning and behavior. In this work, we investigate how both explicit and implicit user preferences, as well as the underlying user values, influence agent decision-making and action trajectories. We built a controlled testbed of 14 common interactive web tasks, spanning shopping, travel, dining, and housing, each […]