论文标题
用心理物理学的指导机感知
Guiding Machine Perception with Psychophysics
论文作者
论文摘要
{g} {ustav} Fechner 1860年的心理物理学描述，即与其刺激相关的感觉的测量，被普遍认为是现代心理科学的出现。在心理物理学中，研究人员的参数会改变刺激的某些方面，并衡量人类受试者对该刺激的经历的变化；这样做可以深入了解一种感觉与引起这种感觉的物理输入之间的关系。这种方法在感知域中大量使用，包括信号检测，阈值测量和理想的观察者分析。诸如视觉科学之类的科学领域始终依靠心理物理学的方法和过程，但是现在，机器学习研究人员对它们的越来越多，通过扩大生物学和人造感知之间的重叠\ cite \ cite {rojas2011automation {scheirerantic，scheirer2014，scheirer2014perceptual，escalera2014Chalera2014Chaleare} Zhangirnag2 grie2 grie2。由行为测量指导的机器感知，而不是仅限于任意分配的人类标签的指导，其具有巨大的潜力，可以推动人工智能的进一步进展。
{G}{ustav} Fechner's 1860 delineation of psychophysics, the measurement of sensation in relation to its stimulus, is widely considered to be the advent of modern psychological science. In psychophysics, a researcher parametrically varies some aspects of a stimulus, and measures the resulting changes in a human subject's experience of that stimulus; doing so gives insight to the determining relationship between a sensation and the physical input that evoked it. This approach is used heavily in perceptual domains, including signal detection, threshold measurement, and ideal observer analysis. Scientific fields like vision science have always leaned heavily on the methods and procedures of psychophysics, but there is now growing appreciation of them by machine learning researchers, sparked by widening overlap between biological and artificial perception \cite{rojas2011automatic, scheirer2014perceptual,escalera2014chalearn,zhang2018agil, grieggs2021measuring}. Machine perception that is guided by behavioral measurements, as opposed to guidance restricted to arbitrarily assigned human labels, has significant potential to fuel further progress in artificial intelligence.
