Integrated Information as a Metric for Group Interaction: Analyzing Human and Computer Groups Using a Technique Developed to Measure Consciousness
David Engel, Thomas W. Malone

TL;DR
This paper applies the integrated information metric, phi, originally designed for consciousness measurement, to analyze group interactions among humans and computers, showing its potential to predict group performance and collaboration quality.
Contribution
It introduces the novel application of the phi metric to diverse group settings, linking it to group effectiveness and collaboration quality.
Findings
Higher phi correlates with better group task performance.
Groups with higher phi produce higher quality Wikipedia articles.
Internet communication phi increased over six years.
Abstract
Researchers in many disciplines have previously used a variety of mathematical techniques for analyzing group interactions. Here we use a new metric for this purpose, called 'integrated information' or 'phi.' Phi was originally developed by neuroscientists as a measure of consciousness in brains, but it captures, in a single mathematical quantity, two properties that are important in many other kinds of groups as well: differentiated information and integration. Here we apply this metric to the activity of three types of groups that involve people and computers. First, we find that 4-person work groups with higher measured phi perform a wide range of tasks more effectively, as measured by their collective intelligence. Next, we find that groups of Wikipedia editors with higher measured phi create higher quality articles. Last, we find that the measured phi of the collection of people…
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