TY - GEN
T1 - Research Needs in Human-Autonomy Teaming
T2 - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
AU - Smith, Mason O.
AU - Amatya, Sunny
AU - Amresh, Ashish
AU - Gorman, Jamie
AU - Johnson, Matthew
AU - Cooke, Nancy
AU - Zhang, Wenlong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Human-Autonomy Teaming (HAT) is a multi-disciplinary domain with a diverse set of research needs and goals stemming from fields such as computer science, robotics, and human factors. This melting pot of fields generates a unique challenge in that there exist many disjoint research methods (measures and tasks) that cause issues with knowledge transfer and comparison between researchers. One way to address this issue is by providing researchers with a testbed containing a standardized suite of analysis tools and tasks that allow direct comparison between different approaches. Therefore, this study attempts to bring the HAT community together in a collaborative discussion to collect and organize their research needs for the future development of these testbeds. Specifically, through thematic analysis, our work reveals three emergent prongs that underpin testbed needs of HAT experts: task, AI, and technical requirements. Also, we organize our thematic analysis by priority to suggest possible paths for HAT testbed development to maximize its immediate and continued utility. Our research indicates that the HAT community places significant importance on both the pre-established, standardized functions available within the testbed and the freedom to tailor and develop their unique tasks or AI solutions.
AB - Human-Autonomy Teaming (HAT) is a multi-disciplinary domain with a diverse set of research needs and goals stemming from fields such as computer science, robotics, and human factors. This melting pot of fields generates a unique challenge in that there exist many disjoint research methods (measures and tasks) that cause issues with knowledge transfer and comparison between researchers. One way to address this issue is by providing researchers with a testbed containing a standardized suite of analysis tools and tasks that allow direct comparison between different approaches. Therefore, this study attempts to bring the HAT community together in a collaborative discussion to collect and organize their research needs for the future development of these testbeds. Specifically, through thematic analysis, our work reveals three emergent prongs that underpin testbed needs of HAT experts: task, AI, and technical requirements. Also, we organize our thematic analysis by priority to suggest possible paths for HAT testbed development to maximize its immediate and continued utility. Our research indicates that the HAT community places significant importance on both the pre-established, standardized functions available within the testbed and the freedom to tailor and develop their unique tasks or AI solutions.
UR - http://www.scopus.com/inward/record.url?scp=85209826059&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85209826059&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN60168.2024.10731453
DO - 10.1109/RO-MAN60168.2024.10731453
M3 - Conference contribution
AN - SCOPUS:85209826059
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 1183
EP - 1190
BT - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
PB - IEEE Computer Society
Y2 - 26 August 2024 through 30 August 2024
ER -