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Scarecrows in Oz

The Use of Large Language Models in HRI

Datos Bibliográficos

ID22190872
AutoresTom Williams (0000-0002-7901-4987, Colorado School of Mines), Cynthia Matuszek (0000-0003-1383-8120, University of Maryland, Baltimore County), Ross Mead (0000-0002-5664-4687, Semio, Inc., USA), Nick DePalma (0000-0003-0531-743X, Plus One Robotics, USA)
Año2024
Volumen13
Número1
Páginas1-11
Fecha de publicación2024-03-31
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaACM Transactions on Human-Robot Interaction (JOURNAL)
Identificadores de la revistaISSN: 2573-9522 • E-ISSN: 2573-9522
EditorialAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3606261
OpenAlexW4391351849
IdiomaEN
Citas recibidas2
Referencias citadas31

The proliferation of Large Language Models (LLMs) presents both a critical design challenge and a remarkable opportunity for the field of Human–Robot Interaction (HRI). While the direct deployment of LLMs on interactive robots may be unsuitable for reasons of ethics, safety, and control, LLMs might nevertheless provide a promising baseline technique for many elements of HRI. Specifically, in this article, we argue for the use of LLMs as Scarecrows : “brainless,” straw-man black-box modules integrated into robot architectures for the purpose of quickly enabling full-pipeline solutions, much like the use of “Wizard of Oz” (WoZ) and other human-in-the-loop approaches. We explicitly acknowledge that these Scarecrows, rather than providing a satisfying or scientifically complete solution, incorporate a form of the wisdom of the crowd and, in at least some cases, will ultimately need to be replaced or supplemented by a robust and theoretically motivated solution. We provide examples of how Scarecrows could be used in language-capable robot architectures as useful placeholders and suggest initial reporting guidelines for authors, mirroring existing guidelines for the use and reporting of WoZ techniques

Human–computer interaction · Human–robot interaction · Interactor · Mirroring · Robot · Software deployment · Software engineering · Wizard · Wizard of oz · World Wide Web · Computer Science · Ethics and Social Impacts of AI · Multimodal Machine Learning Applications · Psychology · Reinforcement Learning in Robotics · Social Psychology · Artificial Intelligence

  • Reporting Guidelines for Large Language Models in Human–Robot Interaction

    Cynthia Matuszek, Tom Williams et al.•ACM Transactions on Human-Robot…•2026

  • Design Implications for Robots That Facilitate Groups—A Scoping Review on Improving Group Interactions through Directed Robot Action

    Thomas H Weisswange, Hifza Javed et al.•ACM Transactions on Human-Robot…•2026

  • Model Cards for Model Reporting

    Open Access•Margaret Mitchell, Simone Wu et al.•Proceedings of the Conference on…•2019

  • Wizard of Oz Studies in HRI

    Laurel Riek•Journal of Human-Robot Interaction•2012

  • On the Morality of Artificial Agents

    Open Access•Luciano Floridi, J W Sanders•Minds and Machines•2004

  • Pay Them No Mind

    Open Access•Merel Keijsers, Christoph Bartneck et al.•International Journal of Social…•2022

  • Good Robots, Bad Robots

    Open Access•Jaime Banks•International Journal of Social…•2021

  • The Whiteness of AI

    Open Access•Syto Cavé, Kanta Dihal•Philosophy & Technology•2020

  • The Benefits of Interactions with Physically Present Robots over Video-Displayed Agents

    Open Access•Wilma A Bainbridge, Justin Hart et al.•International Journal of Social…•2010

Obras citantes distintas2
Citas por año2
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 2

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