1 research outputs found
Advanced Memory Buoyancy for Forgetful Information Systems
Knowledge workers face an ever increasing flood of information in their daily
lives. To counter this and provide better support for information management
and knowledge work in general, we have been investigating solutions inspired by
human forgetting since 2013. These solutions are based on Semantic Desktop (SD)
and Managed Forgetting (MF) technology. A key concept of the latter is the
so-called Memory Buoyancy (MB), which is intended to represent an information
item's current value for the user and allows to employ forgetting mechanisms.
The SD thus continuously performs information value assessment updating MB and
triggering respective MF measures. We extended an SD-based organizational
memory system, which we have been using in daily work for over seven years now,
with MF mechanisms directly embedding them in daily activities, too, and
enabling us to test and optimize them in real-world scenarios. In this paper,
we first present our initial version of MB and discuss success and failure
stories we have been experiencing with it during three years of practical
usage. We learned from cognitive psychology that our previous research on
context can be beneficial for MF. Thus, we created an advanced MB version
especially taking user context, and in particular context switches, into
account. These enhancements as well as a first prototypical implementation are
presented, too.Comment: 15 pages, 11 figures, preprint, final version to appear in AIS
Transactions on Enterprise Systems, Special Issue: Intentional Forgetting in
Organizations and Work Setting