Scaffolded versus Self-Paced Training for Human-Agent Teams

Two pilot studies compare the impacts of scaffolded versus self-paced practice on teaming and performance on an open-ended design challenge. In both studies, guiding players early on in how to leverage AI assistance (scaffolded practice) led to much more robust teaming than allowing players to learn at their own pace, but did not improve task performance.

Authors

Leon Lange (ORCID: https://orcid.org/0000-0002-6215-6815)
Erik Harpstead (ORCID: https://orcid.org/0000-0003-3019-3627)
Ying Choon Wu (ORCID: https://orcid.org/0000-0002-9382-8805)
Jacob Yenney (ORCID: https://orcid.org/0009-0002-7008-0694)
Qiao Zhang (ORCID: https://orcid.org/0000-0002-5223-9473)

Institutions

Georgia Institute of Technology (US)
University of California San Diego (US)
Carnegie Mellon University (US)

Publication Details

Published: 2024-11-20
DOI: https://doi.org/10.1145/3687272.3690873
Citations: 1
Primary Topic: Multi-Agent Systems and Negotiation
Type: article
Field-Weighted Citation Impact: 0.35

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article

Scaffolded versus Self-Paced Training for Human-Agent Teams

Leon Lange, Erik Harpstead, Ying Choon Wu, Jacob Yenney et al.

Nov 20, 2024

1 citations

Multi-Agent Systems and Negotiation

0.35

article

Scaffolded versus Self-Paced Training for Human-Agent Teams

Leon Lange, Erik Harpstead, Ying Choon Wu, Jacob Yenney, Qiao Zhang

November 20, 2024article en

1 citations

Abstract

Two pilot studies compare the impacts of scaffolded versus self-paced practice on teaming and performance on an open-ended design challenge. In both studies, guiding players early on in how to leverage AI assistance (scaffolded practice) led to much more robust teaming than allowing players to learn at their own pace, but did not improve task performance.

Georgia Institute of Technology (US), University of California San Diego (US), Carnegie Mellon University (US)

Openalex Percentile: Top 32%

Multi-Agent Systems and Negotiation

0.35

DOI Source OpenAlex

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