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We evaluate LLM-assisted learning for American Sign Language acquisition by comparing GPT-4o-powered real-time feedback informed by gesture recognition, against traditional image/text static instruction. In a study with 20 participants, both methods improved performance, but the LLM group showed greater gains in challenging signs and increased engagement with complex content. Effect sizes suggest meaningful advantages for LLM support, despite the limited statistical significance of the findings.

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Enhancing American Sign Language Learning with LLM-Assisted Feedback: A Comparative Study with Traditional Methods

  • 会议论文

  • 发表日期：

    2026年

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  • Jindi Wang,
  • Ioannis Ivrissimtzis,
  • Zhaoxing Li,
  • Lei Shi

摘要

We evaluate LLM-assisted learning for American Sign Language acquisition by comparing GPT-4o-powered real-time feedback informed by gesture recognition, against traditional image/text static instruction. In a study with 20 participants, both methods improved performance, but the LLM group showed greater gains in challenging signs and increased engagement with complex content. Effect sizes suggest meaningful advantages for LLM support, despite the limited statistical significance of the findings.