Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis

ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overload avoid directly confronting the problem that what is significant depends on context. We advocate an alternative approach that depends on model-based organization of the data in a conceptual space that depicts the relationships, events, and contrasts that are informative in a field of practice and uses active machine intelligence in circumscribed, cooperative roles to aid human observers in organizing, selecting, managing, and interpreting data. CHARACTERIZATIONS OF DATA OVERLOAD Data overload is the problem of our age -- generic yet surprisingly resistant to different avenues of attack. In order to make progress on innovating solutions to data overload in a particular setting, we need to identify the root issues that make data overload a challenging problem everywhere and to understand why proposed solution...

• Type: Journal
• Year: 2002
• Where: CTW
• Authors: David D. Woods, Emily S. Patterson, Emilie M. Roth
• Keywords: CTW 2002, Model-based Abstractions, Overload Avoid, Representation Design Techniques