Authors:
Peter Géczy
;
Noriaki Izumi
;
Shotaro Akaho
and
Kôiti Hasida
Affiliation:
National Institute of Advanced Industrial Science and Technology (AIST), Japan
Keyword(s):
Complex networks, web behavior, behavior segmentation, navigation space, knowledge workers, enterprise systems, information services, data mining.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Design Methodology and Cognitive Factors in Design
;
Enterprise Information Systems
;
Functional and Non-Functional Requirements
;
HCI on Enterprise Information Systems
;
Human Factors
;
Human-Computer Interaction
;
Intelligent User Interfaces
;
Internet HCI: Web Interfaces and Usability
;
Physiological Computing Systems
;
User Needs
Abstract:
We analyze human behavior on a large-scale enterprise information system. Employing a novel framework that efficiently captures complex spatiotemporal dimensions of human dynamics in electronic spaces we present vital findings about knowledge workers’ behavior on enterprise intranet portal. Browsing behavior of knowledge workers resembles a complex network with significant concentration on navigational starters. Common browsing strategy utilizes the knowledge of the starting navigation point and recollection of the traversal pathway to the target. Complex traversal network topology has a small number of behavioral hubs concentrating and disseminating the browsing pathways. Human browsing network topology, however, does not match the link topology of the web environment. Knowledge workers generally underutilize the available resources, have focused interests, and exhibit diminutive exploratory behavior.