Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
Effects of human–machine interaction on employee’s learning: A contingent perspective
Originally published 2022-09-07 · Frontiers in Psychology
Frontiers Media SA · DOI 10.3389/fpsyg.2022.876933 ↗
AI / system type
Human–machine interaction involving service and industrial robots
Workplace evidenceExamines 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: Human–machine interaction involving service and industrial robots. The source-specific system and study design determine what can be inferred.
Why this reading matters
The reading brings learning and competence when employees interact with intelligent machines 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 learning and competence when employees interact with intelligent machines. Source setting or population: 319 valid responses from 500 employees approached in 100 AI companies in China. 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 · Collaboration
How can teamwork with intelligent machines develop people’s skills instead of bypassing them?
This employee questionnaire study examines learning and competence when employees interact with intelligent machines. Its TRICK home is Collaboration, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
319 valid responses from 500 employees approached in 100 AI companies in China
Age / stage: Adult workplace context; no child age range inferred
Read with three questions
- How can teamwork with intelligent machines develop people’s skills instead of bypassing them?
- What do this study’s design and population — 319 valid responses from 500 employees approached in 100 AI companies in China — allow you to infer about another workplace?
- When considering learning and competence when employees interact with intelligent machines, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
Observational curved relationships are not a prescription for an optimal amount of machine interaction; learning measures are context-dependent.
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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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.
Wang Sen; Zhao Hong; Zhu Xiaomei (2022). Effects of human–machine interaction on employee’s learning: A contingent perspective Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.876933
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.