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Parenting Journal · Volume 1 · Issue 3 · Licensed source edition

The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support

Originally published 2023-03-15 · International Journal of Environmental Research and Public Health
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/ijerph20065147 ↗

KindnessEmployee questionnaire studyCC BY 4.0
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AI / system type

Employees’ awareness of AI-related changes and organizational support

Workplace evidence

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

The AI connection

System or context examined: Employees’ awareness of AI-related changes and organizational support. The source-specific system and study design determine what can be inferred.

Why this reading matters

The reading brings AI awareness, emotional exhaustion and depressive symptoms into a concrete discussion of humane work during technological change. It offers employee questionnaire study evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is AI awareness, emotional exhaustion and depressive symptoms. Source setting or population: 321 respondents in an employee AI-awareness investigation. Parenting and child-development outcomes are not inferred from the workplace evidence.

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

Editorial reading guide · Kindness

How can employers take AI-related exhaustion seriously without blaming the worker?

This employee questionnaire study examines AI awareness, emotional exhaustion and depressive symptoms. Its TRICK home is Kindness, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

321 respondents in an employee AI-awareness investigation

Age / stage: Adult workplace context; no child age range inferred

Read with three questions

  1. How can employers take AI-related exhaustion seriously without blaming the worker?
  2. What do this study’s design and population — 321 respondents in an employee AI-awareness investigation — allow you to infer about another workplace?
  3. When considering AI awareness, emotional exhaustion and depressive symptoms, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

Depression-related questionnaire associations are not a diagnosis or proof that AI causes depression; organizational support was not a randomized treatment.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Guanglu Xu; Ming Xue; Jidi Zhao (2023). The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph20065147

Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.