Temporal Order Judgment
Temporal Order Judgment - Related Videos
09:20
Using fMRI to Dissect Moral Judgment
0 Views •
2023
Source: William Brady & Jay Van Bavel—New York University In examining the roles of reason and emotion in moral judgments, psychologists and philosophers alike point to the trolley dilemma and the footbridge dilemma. With the trolley dilemma, most people say that it is appropriate to pull a switch to stop a train from hitting five people by diverting it to kill one person. However, with the footbridge dilemma, most people say it is inappropriate to push a large man off of a bridge in order...
08:04
Evaluating the Accuracy of Snap Judgments
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2023
Source: Diego Reinero & Jay Van Bavel—New York University Social psychologists have long been interested in the way people form impressions of others. Much of this work has focused on the errors people make in judging others, such as the exaggerated influence of central traits (such as "warm" and "cold"), the insufficient weight given to the context in which others' behavior takes place, and the tendency for people to make judgments that conform to their initial expectations about another.
13:00
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Cited by 20 •
2017
Temporal-order judgments can be used to estimate processing speed parameters and attentional weights and thereby to infer the mechanisms of attentional processing. This methodology can be applied to a wide range of visual stimuli and works with many attention manipulations.
08:12
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Cited by 3 •
2022
The protocol presents an experimental psychophysics paradigm to obtain large quantities of similarity judgments, and an accompanying analysis workflow. The paradigm probes context effects and enables modeling of similarity data in terms of Euclidean spaces of at least five dimensions.
12:10
Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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2022
This article provides a detailed description of a novel mouse judgment bias protocol. Evidence of this olfactory digging task's sensitivity to affective state is also demonstrated and its utility across diverse research fields is discussed.
FAQs
Performance depends on encoding when each sensory event occurs, comparing the resulting neural representations, and applying a decision criterion. When the interval between onsets becomes very small, those representations are harder to distinguish, so participants may rely more strongly on the criterion used to select an order. This combination helps explain variation in both accuracy and response bias.
Attention, sensory modality, and surrounding context can alter how precisely people process event timing. Attention may influence the encoding of each event, while modality and context can change how the two sensory signals are represented and compared. Consequently, the same onset difference may be easier to detect under one condition than another, revealing how behavioral factors shape temporal perception.
Response bias indicates whether a participant tends to favor one reported order, even when the timing difference is difficult to resolve. Accuracy reflects overall success, whereas bias helps separate decision tendencies from the ability to discriminate event timing. Examining both measures provides a more informative account of performance as intervals approach an individual's temporal resolution.
A typical experiment presents participants with two closely spaced sensory stimuli and asks them to report which occurred first. Researchers vary or assess the difference between stimulus onsets while recording the resulting judgments. Comparing responses across timing conditions allows them to evaluate order accuracy, response tendencies, and the smallest onset difference that participants can detect.
Researchers commonly examine accuracy, response bias, and the minimum detectable onset difference. Accuracy shows how often participants identify the presented order, while response bias captures systematic preferences in their reports. The minimum detectable difference summarizes temporal resolution, providing a behavioral index of how finely a participant can distinguish the timing of two events.
This measure connects observable decisions with broader questions about time processing. Researchers apply it to investigate perception and memory, examine how the brain compares events across sensory modalities, and study changes in cognitive function. Because the task produces behavioral measures of timing sensitivity and decision tendencies, it can reveal how temporal processing changes across experimental contexts.