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Rethinking emotional AI in human resource development: insights from burnout detection and empathy technologies

Herlina Juni Risma Saragih & Aris Sarjito

Human Resource Development International2026https://doi.org/10.1080/13678868.2026.2622066article
AJG 2ABDC B
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0.50

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https://doi.org/https://doi.org/10.1080/13678868.2026.2622066

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@article{herlina2026,
  title        = {{Rethinking emotional AI in human resource development: insights from burnout detection and empathy technologies}},
  author       = {Herlina Juni Risma Saragih & Aris Sarjito},
  journal      = {Human Resource Development International},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/13678868.2026.2622066},
}

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Rethinking emotional AI in human resource development: insights from burnout detection and empathy technologies

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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