Cargando…
Data on the design and operation of drones by both individuals and teams
Human subject experiments are performed to assess the impact of artificial intelligence (AI) agents on distributed human design teams and individual human designers. In the team experiment, participants in teams of six develop and operate a drone fleet to deliver parcels routed to multiple locations...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027539/ https://www.ncbi.nlm.nih.gov/pubmed/33855142 http://dx.doi.org/10.1016/j.dib.2021.107008 |
_version_ | 1783675831992713216 |
---|---|
author | Zhang, Guanglu Soria Zurita, Nicolas F. Stump, Gary Song, Binyang Cagan, Jonathan McComb, Christopher |
author_facet | Zhang, Guanglu Soria Zurita, Nicolas F. Stump, Gary Song, Binyang Cagan, Jonathan McComb, Christopher |
author_sort | Zhang, Guanglu |
collection | PubMed |
description | Human subject experiments are performed to assess the impact of artificial intelligence (AI) agents on distributed human design teams and individual human designers. In the team experiment, participants in teams of six develop and operate a drone fleet to deliver parcels routed to multiple locations of a target market. Among the design teams in the experiment, half of the design teams are human-only teams with no available AI agent. The other half of the design teams, designated as hybrid teams, have drone design and operation AI agents to advise them. Halfway through the team experiment, team structure is changed unexpectedly, requiring participants to adapt to the change. In the individual experiment, participants develop drones based on given design specifications, either on their own or with the availability of a drone design AI agent to advise them. During these experiments, participants configure, test, and share their designs and communicate with their teammates through an online research platform. The platform collects a step-by-step log of the actions made by participants. This article contains data sets collected from 44 teams (264 participants) in the team experiment and 73 participants in the individual experiment. These data sets can be used for behavioral analysis, sequence-based analysis, and natural language processing. |
format | Online Article Text |
id | pubmed-8027539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80275392021-04-13 Data on the design and operation of drones by both individuals and teams Zhang, Guanglu Soria Zurita, Nicolas F. Stump, Gary Song, Binyang Cagan, Jonathan McComb, Christopher Data Brief Data Article Human subject experiments are performed to assess the impact of artificial intelligence (AI) agents on distributed human design teams and individual human designers. In the team experiment, participants in teams of six develop and operate a drone fleet to deliver parcels routed to multiple locations of a target market. Among the design teams in the experiment, half of the design teams are human-only teams with no available AI agent. The other half of the design teams, designated as hybrid teams, have drone design and operation AI agents to advise them. Halfway through the team experiment, team structure is changed unexpectedly, requiring participants to adapt to the change. In the individual experiment, participants develop drones based on given design specifications, either on their own or with the availability of a drone design AI agent to advise them. During these experiments, participants configure, test, and share their designs and communicate with their teammates through an online research platform. The platform collects a step-by-step log of the actions made by participants. This article contains data sets collected from 44 teams (264 participants) in the team experiment and 73 participants in the individual experiment. These data sets can be used for behavioral analysis, sequence-based analysis, and natural language processing. Elsevier 2021-03-27 /pmc/articles/PMC8027539/ /pubmed/33855142 http://dx.doi.org/10.1016/j.dib.2021.107008 Text en © 2021 The Author(s). Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Zhang, Guanglu Soria Zurita, Nicolas F. Stump, Gary Song, Binyang Cagan, Jonathan McComb, Christopher Data on the design and operation of drones by both individuals and teams |
title | Data on the design and operation of drones by both individuals and teams |
title_full | Data on the design and operation of drones by both individuals and teams |
title_fullStr | Data on the design and operation of drones by both individuals and teams |
title_full_unstemmed | Data on the design and operation of drones by both individuals and teams |
title_short | Data on the design and operation of drones by both individuals and teams |
title_sort | data on the design and operation of drones by both individuals and teams |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027539/ https://www.ncbi.nlm.nih.gov/pubmed/33855142 http://dx.doi.org/10.1016/j.dib.2021.107008 |
work_keys_str_mv | AT zhangguanglu dataonthedesignandoperationofdronesbybothindividualsandteams AT soriazuritanicolasf dataonthedesignandoperationofdronesbybothindividualsandteams AT stumpgary dataonthedesignandoperationofdronesbybothindividualsandteams AT songbinyang dataonthedesignandoperationofdronesbybothindividualsandteams AT caganjonathan dataonthedesignandoperationofdronesbybothindividualsandteams AT mccombchristopher dataonthedesignandoperationofdronesbybothindividualsandteams |