自动面部识别有助于低患病率的面部身份不匹配,但可以偏向用户
Melina Mueller1, Peter J B Hancock1, Emily K Cunningham1
1Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, UK.
British journal of psychology (London, England : 1953)
|November 15, 2024
概括
提供自动化人脸识别 (AFR) 系统相似性得分或二进制决策的人类评估人员提高了准确性. 然而,单靠二进制信息就导致了对面匹配任务的偏见和过度自信的判断.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 生物识别信息 生物识别信息
背景情况:
- 自动人脸识别 (AFR) 系统越来越多地用于人身识别.
- 了解人类如何与AFR系统输出互动和解释,对于现实世界的部署至关重要.
- 之前的研究还没有充分探讨不同类型的AFR反对面部匹配中人类决策的影响.
研究的目的:
- 调查从AFR系统提供不同类型信息对人脸匹配的准确性和偏差的影响.
- 评估参与者在使用AFR系统反时对自己的表现的信心和自我洞察力.
- 通过使用各种面部数据集和现实的不匹配率,评估研究结果对现实场景的适用性.
主要方法:
- 进行了三项涉及人类参与者的实验,任务是匹配面部图像.
- 参与者对每个对获得了AFR系统的相似性得分或其二进制决定 (匹配/不匹配).
- 使用了一套反映伦敦种族多样性的面孔,不匹配率为10%.
主要成果:
- 参与者的准确性是相似的,无论他们是否收到了AFR相似度得分或二进制决策.
- 仅提供二进制决策导致参与者将他们的偏见转移到判断对作为匹配的对,并在困难的对上变得过于自信.
- 没有参与者达到AFR系统的100%准确性,自我评估绩效洞察力有限.
结论:
- 虽然AFR系统信息有助于人脸匹配,但提供的信息类型会影响决策偏见和信心.
- 二元 AFR 决策可能会导致过度自信和偏见,强调需要谨慎的界面设计.
- 人类无法完全复制AFR系统的准确性,这表明人类监督的持续作用以及理解人类-AFR系统相互作用的重要性.
相关概念视频
01:31Confirmation Biases
5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K
01:24Prosopagnosia
141
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
141
02:09Stereotype Threat and Self-fulfilling Prophecies
37.5K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
37.5K
01:28Methods of Classification and Identification
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
02:16Stereotype Content Model
14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
01:12Types of Errors: Detection and Minimization
1.5K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
1.5K