我已经告诉你了! 口头提示的信念与真相检测有关,但与谎言检测无关
Glynis Bogaard1, Sarah Elizabeth Fieweger2, Ewout H Meijer1
1Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
PloS one
|January 23, 2026
概括
关于欺骗线索的准确信念有助于识别真实陈述,而不是谎言. 在本研究中,演示格式并没有显著影响真伪歧视的准确性.
科学领域:
- 心理学 心理学 心理学
- 法医心理学 法医心理学
- 认知心理学 认知心理学
背景情况:
- 以前的研究表明,关于欺骗线索的信念与谎言检测准确性之间存在联系.
- 口头欺骗线索的诊断性及其对真实性判断的影响需要进一步调查.
- 呈现方式 (音频,成绩单,视听) 对谎言检测的影响尚未得到充分证实.
研究的目的:
- 复制和扩展关于准确的欺骗暗示信念和真相/谎言歧视之间的关系的发现.
- 检查介绍方式在真实性判断和歧视准确性中的作用.
主要方法:
- 246名参与者列出了他们对欺骗线索的信念.
- 参与者评价了通过单纯音频,转录或视听方式呈现的真实和欺骗性的自传陈述的可信度.
- 收集了连续的可信度评级和二元真假判断,以评估歧视的准确性.
主要成果:
- 在准确的口头暗示信念和真实陈述的可信度评级之间发现了一个小的正相关性,但不是欺骗性的陈述.
- 准确的暗示信念与真相歧视准确性有很小的关联.
- 呈现方式没有显著影响真实/虚假歧视或可信度判断.
结论:
- 对口头欺骗线索的准确知识可能有助于识别真实陈述,但不能识别谎言.
- 证据的呈现格式不会对真实性判断的准确性产生重大影响.
- 调查结果强调了暗示知识在谎言检测方面的局限性,以及模式对判断准确性的最小影响.
相关概念视频
Non-Verbal Cues
309
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
309
Channels of Non-Verbal Communication
390
Non-verbal communication plays a critical role in human interaction, influencing how individuals perceive emotions and psychological states. It operates through four primary channels: facial expressions, eye contact, body language, and touch. These non-verbal cues help convey meaning beyond spoken language and are often culturally influenced.Facial Expressions and Emotional RecognitionFacial expressions are among the most powerful and universal forms of non-verbal communication. Research has...
390
Detection of Gross Error: The Q Test
6.9K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.9K
Detection of Black Holes
2.5K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.5K
Difference from Background: Limit of Detection
8.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.1K
Effects of EDTA on End-Point Detection Methods
634
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
634


