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The role of explainable AI in influencing user trust and advice-taking in image aesthetic quality evaluation

Yao Wang et al.

International Journal of Human-Computer Studies2026https://doi.org/10.1016/j.ijhcs.2026.103798article
AJG 2ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1016/j.ijhcs.2026.103798

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@article{yao2026,
  title        = {{The role of explainable AI in influencing user trust and advice-taking in image aesthetic quality evaluation}},
  author       = {Yao Wang et al.},
  journal      = {International Journal of Human-Computer Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ijhcs.2026.103798},
}

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The role of explainable AI in influencing user trust and advice-taking in image aesthetic quality evaluation

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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

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.