Managing personal information: tactics, strategies, and outcomes

Abstract Whilst previous research reports a range of individual behaviors for managing personal information, less is known about the relationships between these behaviors. Knowledge workers are known to: manage more or less, either file or pile, use more or less sophisticated classification, manage sooner or later, and delete or retain. We undertake research to better understand the totality of users’ behaviors in dealing with information, investigating user preferences, patterns of adoption, effectiveness of current PIM solutions, and outcomes from investment in management effort. We discover nine robust but diverse clusters within the overall statistics that reliably explain 80% of the behaviors reported by users. These clusters describe some very different behavioral strategies that differ both in effort invested and tactic preferences. We suggest that these clusters describe behaviors learned over many iterations of managing and retrieving. We also find that deleting items is actually somewhat detrimental, that users are only somewhat successful and satisfied when re-finding information, and are less successful when retrieving older information for reuse. Additionally, users who managed more actively reported only moderately better success at retrieval time and that sophisticated filing systems were somewhat more helpful when retrieving for reuse.

Authors

Institutions

Publication Details

Journal
Interacting with Computers
Published
2025-11-14
DOI
https://doi.org/10.1093/iwc/iwaf054
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managing personal information: tactics, strategies, and outcomes

Russell Beale, Paul Englefield
Interacting with Computers
Personal Information Management and User Behavior
article

Managing personal information: tactics, strategies, and outcomes

Russell Beale, Paul Englefield
article en

Abstract

Abstract Whilst previous research reports a range of individual behaviors for managing personal information, less is known about the relationships between these behaviors. Knowledge workers are known to: manage more or less, either file or pile, use more or less sophisticated classification, manage sooner or later, and delete or retain. We undertake research to better understand the totality of users’ behaviors in dealing with information, investigating user preferences, patterns of adoption, effectiveness of current PIM solutions, and outcomes from investment in management effort. We discover nine robust but diverse clusters within the overall statistics that reliably explain 80% of the behaviors reported by users. These clusters describe some very different behavioral strategies that differ both in effort invested and tactic preferences. We suggest that these clusters describe behaviors learned over many iterations of managing and retrieving. We also find that deleting items is actually somewhat detrimental, that users are only somewhat successful and satisfied when re-finding information, and are less successful when retrieving older information for reuse. Additionally, users who managed more actively reported only moderately better success at retrieval time and that sophisticated filing systems were somewhat more helpful when retrieving for reuse.

Interacting with Computers
University of Birmingham (GB)
Openalex Percentile: Top 64%
Personal Information Management and User Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.