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Text and Audio Simplification: Human vs. ChatGPT.

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This study compared human and ChatGPT text simplification for healthcare. While ChatGPT improved readability metrics, human simplification better retained content, though experts preferred ChatGPT

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Area of Science:

  • Natural Language Processing
  • Health Informatics
  • Medical Communication

Background:

  • Text and audio simplification are crucial for enhancing information comprehension in healthcare settings.
  • The emergence of advanced AI tools like ChatGPT necessitates an evaluation of their text simplification capabilities.

Purpose of the Study:

  • To systematically compare the text simplification performance of human experts and ChatGPT.
  • To evaluate the effectiveness of ChatGPT in simplifying medical texts across various metrics and prompts.

Main Methods:

  • Utilized fourteen metrics to assess text difficulty and simplification quality.
  • Scored twelve corpora, including human-simplified texts, audio, and five ChatGPT-simplified corpora generated with different prompts.
  • Conducted a comparative analysis against a prior user study's simplified texts.
  • Involved a medical domain expert in evaluating text quality and content retention.

Main Results:

  • Human-simplified texts demonstrated higher similarity to corpora optimized for simplicity.
  • ChatGPT-driven simplification positively influenced text difficulty metrics.
  • Medical experts favored the stylistic output of ChatGPT but noted a decrease in content retention.

Conclusions:

  • ChatGPT shows promise in improving text readability for healthcare information.
  • Further refinement is needed to ensure ChatGPT simplification maintains the integrity and accuracy of medical content.
  • Human simplification remains a benchmark for comprehensive content retention in medical communication.