Abstract: A method and system for transforming communication metadata and sensor data into an objective measure of the participant communication distribution of an organization is disclosed. Embodiments of the present disclosure enable the capturing communication data from phone, email, or other virtual means of communication to develop a complete objective model of a human network. Metadata is extracted from the captured communication data and the extracted communication metadata is analyzed by (i) calculating time spent on each activity or interaction (e.g., email, meeting, call, chat, conversation) for each participant; (ii) prioritizing activities and interactions for each participant; and (iii) building a pairwise adjacency matrix based on the attention time each participant spent communicating with each other participant. Based on the pairwise adjacency matrix, a visualization may be created illustrating the communication distribution of the participants throughout the organization.

Abstract: method and system for transforming communication metadata and sensor data into an objective measure of the participant communication distribution of an organization is disclosed. Embodiments of the present disclosure enable the capturing communication data from phone, email, or other virtual means of communication to develop a complete objective model of a human network. Metadata is extracted from the captured communication data and the extracted communication metadata is analyzed by (i) calculating time spent on each activity or interaction (e.g., email, meeting, call, chat, conversation) for each participant; (ii) prioritizing activities and interactions for each participant; and (iii) building a pairwise adjacency matrix based on the attention time each participant spent communicating with each other participant. Based on the pairwise adjacency matrix, a visualization may be created illustrating the communication distribution of the participants throughout the organization.

Abstract: A method and system for capturing and analyzing human behavior data is disclosed. The present disclosure describes a method and system for a plurality of people, wherein each person wears a badge. The badge transmits data collected from a plurality of sensors from the badge to a base station. The data is sent from the base station to a server, which aggregates the data from a plurality of base stations, and then analyzes and processes the data to create raw human behavior data. From the raw human behavior data and plurality of metrics is calculated, which can be displayed on a computer screen according to whichever metrics a user wishes to view.

Abstract: Presented are a system and methods for automatically extracting, analyzing and visualizing conversational turn-taking patterns during co-located and remote social interactions. The visualization tool measures group conversation dynamics based on wirelessly or otherwise obtained electronic sensor data corresponding to each participant. The group conversation dynamics that are determined (or detected) include, per participant, turn duration, turn-taking speed, number of turns, number of overlapping turns, number of successful interruptions and number of unsuccessful interruptions. Also calculated are participant mirroring statistics, activity statistics, consistency statistics, influence statistics and social network statistics. The visualizations may be output with user configurable parameters.

Abstract: A method and system for capturing and analyzing human behavior data is disclosed. The present disclosure describes a method and system for a plurality of people, wherein each person wears a badge. The badge transmits data collected from a plurality of sensors from the badge to a base station. The data is sent from the base station to a server, which aggregates the data from a plurality of base stations, and then analyzes and processes the data to create raw human behavior data. From the raw human behavior data and plurality of metrics is calculated, which can be displayed on a computer screen according to whichever metrics a user wishes to view.