Presentation
29. Empirical Impacts of Independent and Collaborative Training on Task Performance and Improvement in Human-AI Teams
SessionPoster Session 2
DescriptionAs the integration of artificial intelligence (AI) and human-AI teams progressing, it is becoming increasingly apparent that humans need to be better trained to work with such a novel technology. However, little research explores the design and impact of training in human-AI teams, often leading to prior collaborative training methodologies seeing use in research. This paper details an experimental study that focused on task-focused training, and this experiment explores whether humans should train task-related skills separately or collaboratively when preparing to work in a human-AI team. Results show that having humans train on a task together before working in human-AI teams can significantly hinder the repeated performance and improvement of human teammates when they start working within a human-AI team. The results of this work have strong implications for human-AI teaming research as application, as future research and implementation needs to design and adopt new task-focused training methodologies.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
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Human AI Robot Teaming (AI)
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