Moderate evidence
Published recordLaborThe Trace
More
Beyond Human–AI interaction: exploring the influence of AI anthropomorphism on work engagement
- Truvace record
- TRV-2026-2501raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Controlled or validated comparison
- Sources
- 1 sourcePeer-reviewed
- sha256
- 2aa8c1051f12…check it
Purpose This study examines how anthropomorphic cues that make AI agency socially salient influence employee work engagement in mandatory, performance-oriented human–AI collaboration. It distinguishes AI agency from AI anthropomorphism, tests affective and evaluative motivational mechanisms and identifies perceived AI threat as a boundary condition grounded in the Job Demands-Resources (JD-R) model. Design/methodology/approach Across two pilot studies and two main experiments (total N = 501), we used immersive w…
54Gain side
How the two sides scoreClose call
58Problem side
The gain
In experiments with 501 participants, anthropomorphic AI raised work engagement through emotional bonding with the AI and through a motive to make a good impression on it.
The problem
In the same experiments, when participants perceived a high AI threat, the positive effects of anthropomorphism on emotional bonding, impression management motive and work engagement became non-significant.
A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.
What the scores mean
G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.
P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.
What this doesn’t fix
The findings come from role-playing scenarios in experiments rather than from observation of employees in real workplaces.
Sources
1 on file- Information Technology & Peopledoi:10.1108/itp-06-2025-0862
Cite this record
v1Truvace Impact Record TRV-2026-2501, v1: “Beyond Human–AI interaction: exploring the influence of AI anthropomorphism on work engagement.” Truvace, 2026-11-12. /record/TRV-2026-2501 (accessed on the day you copy it). sha256 2aa8c1051f129baa…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2501 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.
ace