DirectGPT: A Direct Manipulation Interface to Interact with Large Language Models
arxiv(2023)
摘要
We characterize and demonstrate how the principles of direct manipulation can
improve interaction with large language models. This includes: continuous
representation of generated objects of interest; reuse of prompt syntax in a
toolbar of commands; manipulable outputs to compose or control the effect of
prompts; and undo mechanisms. This idea is exemplified in DirectGPT, a user
interface layer on top of ChatGPT that works by transforming direct
manipulation actions to engineered prompts. A study shows participants were 50
faster and relied on 50
vector images compared to baseline ChatGPT. Our work contributes a validated
approach to integrate LLMs into traditional software using direct manipulation.
Data, code, and demo available at https://osf.io/3wt6s.
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