Presentation
Is It Time to Kill Fitts’ List? Perspectives on Novel Frameworks for Human-Machine Teaming Across Industry, Academia, and Government
DescriptionThe enduring appeal and significance of Fitts’ list in guiding human-computer collaboration can seem bewildering in the context of the evolving landscape of human-machine interaction. While such traditional methods persist, recent advancements in AI prompt a reevaluation of allocation models. Numerous novel frameworks, from automation interaction scales to collaboration taxonomies, have emerged to address evolving technology and user needs. This panel discussion will explore the persistence of Fitts’ list, alternative frameworks, and their practical applications across industries like healthcare, transportation, and defense. Representatives from academia, industry, and government will discuss framework selection, development, and applicability, providing insights for multidisciplinary audiences on the state of human-AI teaming and practical framework implementation. Takeaways include understanding the breadth of human-AI teaming frameworks, awareness of their application across domains, and guidance on selecting and leveraging frameworks in diverse contexts.
Moderator
Principal Engineer & Deputy Division Director for Performance Augmentation Systems
Panelists
Division Director
Professor
Principal Cognitive Systems Engineer
Event Type
Discussion Panel
TimeTuesday, September 10th4:15pm - 5:15pm MST
LocationFlagstaff
Human AI Robot Teaming (AI)