Presentation
51. Preliminary Investigation of Communication Types and Strategies in Hat in Dynamic Dual-Task Situation
SessionPoster Session 2
DescriptionThis study investigated natural communication strategies employed by humans in dynamic dual-task situations involving human-AI teams (HATs), and examined the effects of these strategies on task performance, situation awareness (SA), and trust levels. Ten pairs of participants with relevant backgrounds performed a dual-task simulation involving tracking and tactical assessment tasks. Four distinct task allocation strategies emerged: 'Operator Monitoring,' 'Action Split,' 'Target Split,' and 'Takeover,' each with characteristic communication types. Analysis revealed the 'Target Split' strategy led to lower accuracy, while 'Takeover' showed poorer tracking performance. SA was highest for 'Operator Monitoring' and 'Target Split,' but lowest for 'Takeover.' Moreover, the 'Takeover' strategy resulted in the lowest levels of trust between team members. These findings provide valuable insights into enhancing communication and optimizing HAT performance in dynamic dual-task environments. This preliminary study paves the way for future research involving pseudo-AIs to further explore effective communication strategies for practical HAT applications.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
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