By Dr. Randall W. Hill, Jr, Vice Dean, Viterbi School of Engineering, Omar B. Milligan Professor in Computer Science (Games and Interactive Media), Executive Director, ICT
Dr. Nik Gurney, (interim) Research Lead, Social Simulation Lab is the lead author on a new article, Willingness to Work as a Predictor of Human-Agent Team Success, published today in Frontiers of Computer Science, part of a series on Hybrid Human Artificial Intelligence: Augmenting Human Intelligence with AI.
Research shows that the effectiveness of human-agent teams depends heavily on human team members’ prior experiences, whether from direct teaming activities or relevant domain knowledge.
While many have proposed various mechanisms to explain this relationship, Willingness to Work as a Predictor of Human-Agent Team Success presents a simpler alternative explanation: experience serves primarily as an indicator of a person’s fundamental willingness to engage in teaming tasks – and introduces a measure called “willingness to work” that quantifies this underlying disposition. Through empirical analysis this demonstrates that this straightforward metric robustly predicts human-agent team performance.
Beyond its practical value as a predictive tool, this reconceptualization of the experience-performance relationship necessitates a fresh examination of existing findings in the field. The results suggest that a team member’s basic willingness to invest effort may be more fundamental to success than previously recognized mechanisms.
Full article is here: Willingness to Work as a Predictor of Human-Agent Team Success
//