Weekly QUEST Discussion Topics and News, May 24th

Last week we began a discussion on attempting to understand the total analytic capability for a given task of a human-computer team. We want to revisit that topic this week trying to lock down a QUEST position on the ‘mixing function’. This is the term in the framework that accounts for the intelligence amplification of the team over either the human or the computer working alone. We want to examine the factors that impact the mixing. In some of the literature we have seen the term ‘friction’ and we have used the term ‘alignment’ to describe the impact of the mixing on the overall analytical power of the human-computer team. It is suggested that optimal analytical systems are built to maximize the ability of the human to leverage the computer. As part of the discussion we want to revisit our Plenary talk we gave at the World Congress on Computational Intelligence – ‘Computing machinery and Intelligence Amplification’ where we attempted to capture a snapshot of our thoughts on how we were measuring IA in our Breast Cancer Detection products. Dr. Oxley will lead the discussion on the framework we used in the WCCI chapter.

Weekly QUEST Discussion Topics and News May 24