Authors:
Tamara Babaian
;
Wendy Lucas
and
Heikki Topi
Affiliation:
Bentley College, United States
Keyword(s):
Enterprise information systems, data modeling, user input logs, usability.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Data Warehouses and Data Mining
;
e-Business
;
Engineering Information System
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Management Information Systems
Abstract:
The complexity of Enterprise Information Systems can be overwhelming to users, yet they are an often overlooked domain for usability research. To better understand the ways in which users interact with these systems, we have designed an infrastructure for input logging that is built upon a data model relating system components, user inputs, and tasks. This infrastructure is aware of user representations, task representations, and the history of user interactions. The interface components themselves log user inputs, so that timing data and action events are automatically aligned and are linked to specific tasks. The knowledge gained about user interactions at varying levels of granularity, ranging from keystroke analysis to higher-level task performance, is a valuable resource for both assessing and enhancing system usability.