Personal Information Management and User Behavior
Personal information management research examines how people organize, retrieve, and act on the flood of digital information that competes for their attention across email, notifications, and interconnected tasks throughout the workday. As the volume of incoming information routinely exceeds what individuals can meaningfully process, researchers study how interruptions and task switching erode concentration, slow decision-making, and reduce both individual and organizational productivity. A central challenge is understanding when cognitive load crosses into genuine overload — and what structural or behavioral interventions, from notification design to self-regulation strategies, can restore effective attention without simply suppressing the flow of information people actually need. Open questions include how people develop sustainable personal systems for managing information across devices, and how organizations can design communication norms that respect cognitive limits without sacrificing coordination.
- Works
- 30,049
- Total citations
- 265,617
- Keywords
- Information OverloadInterruptionsTask SwitchingEmail ManagementPersonal Information ManagementCognitive Load
Top papers in Personal Information Management and User Behavior
Ordered by total citation count.
- Usability Engineering↗ 9,355
- Using collaborative filtering to weave an information tapestry↗ 4,070OA
- Trust in Automation: Designing for Appropriate Reliance↗ 3,218OA
- A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications↗ 2,942
- The Social Life of Information↗ 2,721
- Context and consciousness: activity theory and human-computer interaction↗ 2,515
- Awareness and coordination in shared workspaces↗ 2,492OA
- Trust in Automation↗ 2,323
- Information Privacy: Measuring Individuals’ Concerns About Organizational Practices1↗ 2,219
- Distributed cognition↗ 2,135
- Models in information behaviour research↗ 2,032
- Dynamic Memory: A Theory of Reminding and Learning in Computers and People↗ 1,994
Active researchers
Top authors in this area, ranked by h-index.