Transfer of intention-offloading determinants to LLM assistance

Determine whether factors identified in intention-offloading research, including offloading costs, financial incentives, objective ability, and performance goals, similarly shape offloading decisions when learners use LLM assistants.

Background

The study introduces explicit assistance requests as a way to examine offloading in human–AI interaction, but it tests only a limited set of determinants. The authors propose examining whether established factors from intention-offloading research generalize to LLM-assisted learning, thereby clarifying what shapes the extent of cognitive work delegated to an LLM.