From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The abstract reports that daily use of augmentation-based AI at work is associated with knowledge gain and task performance but also with information overload that impairs performance and recovery.
Scope: abstract-level daily-diary workplace study
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (9)
- The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
- Human-AI Ensembles: When Can They Work?
- Human and Machine: The Impact of Machine Input on Decision Making Under Cognitive Limitations
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- When Conscientious Employees Meet Intelligent Machines: An Integrative Approach Inspired by Complementarity Theory and Role Theory
- When and How Artificial Intelligence Augments Employee Creativity
- A Dynamic Theory of Organizational Knowledge Creation
- Algorithms at Work: The New Contested Terrain of Control
Cited by (2)
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Abstract-level evidence only; no full text inspected
- SAGE public DOI-page probes returned HTTP 403 during the lane, so claims rely on retained Crossref publisher-deposited metadata
Source independence
publisher-only