68/100

Moderate evidence

Trace: a gain and a problemPublished recordLaborThe Trace

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
  1. Information Technology & Peopledoi:10.1108/itp-06-2025-0862
    Peer-reviewed2026-10-23

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v1

Truvace 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…

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  1. Publishedv12aa8c1051f12…

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