Integrated information as a metric for group interaction.
Ontology highlight
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
SUBMITTER: Engel D
PROVIDER: S-EPMC6181355 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
ACCESS DATA