TY - DATA
T1 - User Interaction Dataset for CHI 2025 paper "Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant."
PY - 2025/02/06
AU - Gaole He
AU - Gianluca Demartini
AU - Ujwal Gadiraju
UR - 
DO - 10.4121/d34aa48b-9722-4ad4-b108-a62878c1feca.v1
KW - Human-AI Collaboration
KW - Large Language Models
KW - LLM agents
KW - User Trust
KW - Daily Assistant
N2 - <p>This repo contains all code, data, and user interfaces associated with paper "Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant." In our study, we analyzed different extents of user involvement in the planning and execution stages of LLM agents. Our data is evaluated based on action sequences. We also recorded how users interact with LLM agents and provided an interface built upon Flask.</p>
ER -