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Trust Miscalibration Is Sometimes Necessary: An Empirical Study and a Computational Model
The literature on trust seems to have reached a consensus that appropriately calibrated trust in humans or machines is highly desirable; miscalibrated (i.e., over- or under-) trust has been thought to only have negative consequences (i.e., over-reliance or under-utilization). While not invalidating...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382686/ https://www.ncbi.nlm.nih.gov/pubmed/34447334 http://dx.doi.org/10.3389/fpsyg.2021.690089 |