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Computer Science > Computation and Language

arXiv:2404.04204 (cs)
[Submitted on 5 Apr 2024]

Title:Social Skill Training with Large Language Models

Authors:Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S.
Bernstein, John Mitchell
View a PDF of the paper titled Social Skill Training with Large
Language Models, by Diyi Yang and 5 other authors
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    Abstract:People rely on social skills like conflict resolution to
    communicate effectively and to thrive in both work and personal
    life. However, practice environments for social skills are
    typically out of reach for most people. How can we make social
    skill training more available, accessible, and inviting? Drawing
    upon interdisciplinary research from communication and
    psychology, this perspective paper identifies social skill
    barriers to enter specialized fields. Then we present a solution
    that leverages large language models for social skill training
    via a generic framework. Our AI Partner, AI Mentor framework
    merges experiential learning with realistic practice and tailored
    feedback. This work ultimately calls for cross-disciplinary
    innovation to address the broader implications for workforce
    development and social equality.

Subjects: Computation and Language (cs.CL); Human-Computer
          Interaction (cs.HC)
Cite as:  arXiv:2404.04204 [cs.CL]
          (or arXiv:2404.04204v1 [cs.CL] for this version)

Submission history

From: Caleb Ziems [view email]
[v1] Fri, 5 Apr 2024 16:29:58 UTC (498 KB)
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