TY - GEN
T1 - A Minecraft Based Simulated Task Environment for Human AI Teaming
AU - Amresh, Ashish
AU - Cooke, Nancy
AU - Fouse, Adam
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
PY - 2023/9/19
Y1 - 2023/9/19
N2 - In this extended abstract we present the design, development, and evaluation of a Minecraft-based simulated task environment to conduct human and AI teaming research. With the deluge of AI-driven applications and their infiltration into many activities of daily living, it is becoming necessary to look at ways that humans and AI can work together. There is a tremendous research burden associated with accurately evaluating the best practices and tradeoffs when humans and AI have to collaborate together in completing critical tasks. Minecraft offers a low-cost alternative as an early investigating tool for researchers to build answers to emerging research questions before significantly investing in human-AI teaming activities in the real world. We demonstrate successfully via a simple rule-based AI, insights that could highly influence human-AI teaming activities can be derived to improve practical and viable development of protocols and procedures. Our findings indicate that simulated task environments play a critical role in furthering human AI teaming activities.
AB - In this extended abstract we present the design, development, and evaluation of a Minecraft-based simulated task environment to conduct human and AI teaming research. With the deluge of AI-driven applications and their infiltration into many activities of daily living, it is becoming necessary to look at ways that humans and AI can work together. There is a tremendous research burden associated with accurately evaluating the best practices and tradeoffs when humans and AI have to collaborate together in completing critical tasks. Minecraft offers a low-cost alternative as an early investigating tool for researchers to build answers to emerging research questions before significantly investing in human-AI teaming activities in the real world. We demonstrate successfully via a simple rule-based AI, insights that could highly influence human-AI teaming activities can be derived to improve practical and viable development of protocols and procedures. Our findings indicate that simulated task environments play a critical role in furthering human AI teaming activities.
KW - Human-AI Teaming
KW - Simulated Task Environments
KW - Software Testbed
UR - http://www.scopus.com/inward/record.url?scp=85183588705&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85183588705&partnerID=8YFLogxK
U2 - 10.1145/3570945.3607305
DO - 10.1145/3570945.3607305
M3 - Conference contribution
AN - SCOPUS:85183588705
T3 - Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, IVA 2023
BT - Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, IVA 2023
PB - Association for Computing Machinery, Inc
T2 - 23rd ACM International Conference on Intelligent Virtual Agents, IVA 2023
Y2 - 19 September 2023 through 22 September 2023
ER -