Variation In Perception Research Articles

Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models

This paper presents a mixed multinomial logit-based discrete choice modelling framework to accommodate decision-makers’ errors in perceiving choice environment variables that do not vary across choice alternatives. An analysis is undertaken to evaluate two different ways of specifying errors in the choice environment variables in discrete choice models – (a) the additive specification and (b) the multiplicative specification. Between these two approaches, the multiplicative error specification is consistent with psychophysical theories of human perception of physical quantities in that the variability in perception tends to be greater for quantities of greater magnitude. Further, it is shown that models with an additive error specification run into parameter (un)identifiability problems if the analyst attempts to accommodate errors in several variables. In contrast, models with multiplicative errors in variables allow separate identification of stochasticity in as many variables as needed, as long as those variables have a significant influence on the choice outcome.The usefulness of the proposed framework with multiplicative errors is demonstrated through simulation experiments and an empirical application for analysing driver behaviour while considering drivers’ errors in perceiving traffic environment variables. The empirical analysis is carried out using space-time trajectories of vehicles from a heterogeneous, disorderly (HD) traffic stream in Chennai, India. Results suggest that the proposed model, with power lognormal distributed multiplicative errors in traffic environment variables, outperformed the typically used mixed logit models with random coefficients (uncorrelated and correlated) or error components. Further, allowing for perception errors in traffic environment variables was found to be more important than allowing unobserved heterogeneity in the drivers’ sensitivity to those variables. In addition, the empirical model offers interesting insights into the extent of variability due to perception errors in different traffic environment variables.

Perceptual and Computational Estimates of Vocal Breathiness and Roughness in Sustained Phonation and Connected Speech

Clinical assessment of voice quality (VQ) often uses a combination of sustained phonations and more prolonged and more complex vocalizations. The purpose of this study was to compare the perceived vocal breathiness and vocal roughness of sustained phonations and connected speech over a wide range of dysphonia severity and to evaluate their relationship with acoustic measures and bioinspired models of breathiness and roughness. VQ dimension-specific single-variable matching task (SVMT) was used to index the perceived breathiness or roughness of five male and five female talkers on the basis of a sustained /a/ phonation and the 5th CAPE-V sentence. Acoustic measures of cepstral peak, autocorrelation peak and psychoacoustic measures of pitch strength, and temporal envelope standard deviation (EnvSD) was used to predict perceived breathiness and roughness judgments obtained from 10 listeners, respectively. High intra- and inter-listener reliability was observed for sustained phonations and connected speech. Perceived breathiness and roughness of sustained vowels and sentences obtained using SVMT were highly correlated for most dysphonic voices. The pitch strength model of breathiness was able to capture larger amount of perceptual variance compared to cepstral peak in both vowels and sentences. Autocorrelation peak was strongly correlated to perceived roughness in sentences while EnvSD was strongly correlated to perceived roughness in vowels. Results provide evidence that perception of VQ via SVMT can be successfully extended to connected speech. Computational models of VQ can be easily adapted to connected speech. Such automated models of VQ perception are valuable due to their computational efficiency and their ability to accurately capture the non-linearities of the human auditory system.

Native Language Perceptual Sensitivity Predicts Nonnative Speech Perception Differently in Younger and Older Singaporean Bilinguals.

We investigate in this study how individual variability in native language speech perception (termed Perceptual Sensitivity) influences nonnative speech perception in Singaporean Tamil-English bilinguals. Further, we assess if and how contextual and demographic factors influence Perceptual Sensitivity in the acquired languages and if the influence of Perceptual Sensitivity on nonnative speech perception is different across younger and older bilinguals. Perceptual Sensitivity in the native languages was examined by implementing Tamil and English gating tasks in 87 Singaporean Tamil-English bilinguals from two age groups (younger: 19-33 years; older: 55-70 years). Mandarin lexical tone discrimination was implemented as a measure of nonnative speech perception. There was a wide range of variability in Perceptual Sensitivity scores in both languages across both age groups. Perceptual Sensitivity in the first native language (L1 Tamil) was a robust predictor of nonnative speech perception across both age groups, especially for the older bilinguals. However, general intelligence emerged as a stronger predictor than Tamil Perceptual Sensitivity in younger bilinguals. The influence of Tamil Perceptual Sensitivity on lexical tone perception was not tone-specific, supporting a general enhancement of lexical tone perception with better Tamil Perceptual Sensitivity. There was an influence of demographic factors on English Perceptual Sensitivity in older bilinguals, but not for Tamil and not in younger bilinguals. Our findings corroborate with previous studies in showing that native language Perceptual Sensitivity is positively associated with and predicts nonnative speech perception in younger and older adulthood regardless of language similarity but to varying degrees. Specifically, the influence of Perceptual Sensitivity on nonnative speech perception is stronger in older adulthood, suggesting a possible shift in reliance on crystallized language knowledge with age. Proficiency and use, among other demographic and language variables, do not appear to influence L1 Perceptual Sensitivity in a lesser used language (Tamil) as significantly as previously assumed.

Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology.

Lack of visual recognition of colorectal polyps may lead to interval cancers. The mechanisms contributing to perceptual variation, particularly for subtle and advanced colorectal neoplasia, have scarcely been investigated. We aimed to evaluate visual recognition errors and provide novel mechanistic insights. Eleven participants (seven trainees and four medical students) evaluated images from the UCL polyp perception dataset, containing 25 polyps, using eye-tracking equipment. Gaze errors were defined as those where the lesion was not observed according to eye-tracking technology. Cognitive errors occurred when lesions were observed but not recognized as polyps by participants. A video study was also performed including 39 subtle polyps, where polyp recognition performance was compared with a convolutional neural network. Cognitive errors occurred more frequently than gaze errors overall (65.6%), with a significantly higher proportion in trainees (P=0.0264). In the video validation, the convolutional neural network detected significantly more polyps than trainees and medical students, with per-polyp sensitivities of 79.5%, 30.0%, and 15.4%, respectively. Cognitive errors were the most common reason for visual recognition errors. The impact of interventions such as artificial intelligence, particularly on different types of perceptual errors, needs further investigation including potential effects on learning curves. To facilitate future research, a publicly accessible visual perception colonoscopy polyp database was created.

Recent trends in chronic pain medicine.

Chronic pain presents as an unequalled challenge for physicians, owing to the complexity of biochemical and biological pathways involved in pain transmission and high variability of pain perception among individuals. Often, there is an inadequate response to conservative treatment, and opioid treatment has its own drawbacks, such as side effects and opioid dependence. Hence, novel strategies have evolved for the effective and safe management of chronic pain. Radiofrequency technique, regenerative biomaterial, platelet-rich plasma, mesenchymal stem cells, reactive oxygen species scavenger nanomaterial, ultrasound-guided interventional pain management procedures, endoscopic spinal procedures, vertebral augmentation therapy, and neuromodulation are some of the promising and upcoming modalities in the armamentarium of pain physicians.

Impact of Preadmission Observation Hours on Key Physical Therapist Clinical Education Stakeholders: Quantitative Analysis

Introduction and Review of Literature. Physical therapist (PT) and PT assistant (PTA) education programs have historically required preadmission observation hours (ObHr) as an admission requirement. The variability of conditions surrounding ObHr lends itself to investigation. The aims of this study were to (1) identify the perceived value of ObHr to Admission Committee (AC) members, Directors of Clinical Education, current Doctor of Physical Therapy (DPT) students, and PT clinicians, (2) examine the effect that ObHr have on the decision-making process of AC members, and (3) examine the effect that ObHr had on current DPT students’ decisions to pursue a PT career. Subjects. Four stakeholder groups were targeted (N = 4,471). Methods. This descriptive, cross-sectional study utilized surveys to collect quantitative and qualitative data through closed-ended and open-ended questions. This article encompasses the analysis of the quantitative components by analyzing fixed responses on stakeholder surveys. Qualitative findings are reported in a separate article. Results. Perceived purposes of ObHr by stakeholders were as follows: (1) to gain an accurate understanding of the depth and breadth of the profession, (2) to confirm a desire to pursue PT as a profession, and (3) to better understand the roles and responsibilities of PT. The number of necessary ObHr varied among the groups ranging from 0 to 100 hours. Student perception that completing more hours than required would assist in their favorability for acceptance was debunked. Discussion. There was consensus among all groups regarding the perceived purposes. Variability of stakeholder perception of necessary ObHr to achieve goals was revealed. Doctor of Physical Therapy programs should be transparent and clarify the purpose and quantity of required ObHr. Conclusion. Long-standing requirements could be taxing current resources and limiting entry into the profession. Determining the minimum number of necessary ObHr, considering virtual methods, and employing distinct transparency on how ObHr are used in the decision-making process are opportunities for further study to address these issues.

Individual Characteristics and Pain Sensitivity during Pregnancy-A Cross-Sectional Study in Pregnant and Non-Pregnant Women.

The aim of the study was to describe the characteristics and factors related to pain perception in pregnant women, such as optimism, personality traits, and fear of developing COVID-19 consequences. Sixty-six pregnant women aged 23 to 42 years participated in the study, and the comparison group consisted of n = 59 non-pregnant female students aged 19 to 23 years. Pressure pain threshold and pain tolerance were measured with an algometer. To assess psychological characteristics, the Life-Orientation Test-Revised was used to assess optimism, the Fear of COVID-19 Scale was used to assess COVID-19 anxiety, and the Ten-Item Personality Inventory was applied to assess personality traits in a five-factor model. The main results of the study showed that pain tolerance was significantly lower in both dominant and non-dominant hand pregnant women than in the comparison group. The studied pregnant women had higher scores for conscientiousness, fear of COVID-19, and optimism compared with the non-pregnant women. Regression analysis showed that the variability in pain perception among pregnant women could not be explained by individual differences in personality traits, optimism, and fear of COVID-19.

The salivary microbiome shows a high prevalence of core bacterial members yet variability across human populations

Human saliva contains diverse bacterial communities, reflecting health status, dietary patterns and contributing to variability in the sensory perception of food. Many descriptions of the diversity of the salivary microbiome have focused on the changes induced by certain diseased states, but the commonalities and differences within healthy saliva have not been fully described. Here, we define and explore the core membership of the human salivary microbial community by collecting and re-analysing raw 16S rRNA amplicon sequencing data from 47 studies with 2206 saliva samples. We found 68 core bacterial taxa that were consistently detected. Differences induced by various host intrinsic and behaviour factors, including gender, age, geographic location, tobacco usage and alcohol consumption were evident. The core of the salivary microbiome was verified by collecting and analysing saliva in an independent study. These results suggest that the methods used can effectively define a core microbial community in human saliva. The core salivary microbiome demonstrated both stability and variability among populations. Geographic location was identified as the host factor that is most associated with the structure of salivary microbiota. The independent analysis confirmed the prevalence of the 68 core OTUs we defined from the global data and provides information about how bacterial taxa in saliva varies across human populations.

Effect of the User Input Method on Response Time and Accuracy in a Binary Data Labeling Task

This study compares response time and accuracy in a binary data labeling task on two platforms: a desktop computer and a mobile phone. Three methods were used on the computer: a keyboard, a mouse, and a mouse with perceptual variability that was designed to combat vigilance decrement. Three additional methods were used on the mobile phone: a tap, a swipe touch-gesture, and a tap with perceptual variability. Results of the study show that the fastest was the keyboard, which may explain its popularity in labeling tasks. The second fastest was the tap interface, suggesting the unexploited potential of mobile devices for “labeling while waiting for the bus.” In terms of accuracy, we found clear evidence for a speed–accuracy tradeoff, and the advantage of the perceptual variability methods to be more accurate than the matching methods without perceptual variability. The results suggest that different user input methods should be employed depending on whether response time or accuracy is more valued.

Brain activity changes associated with pain perception variability.

Pain perception can be modulated by several factors. Phenomena like temporal summation leads to increased perceived pain, whereas behavioral conditioning can result in analgesic responses. Furthermore, during repeated, identical noxious stimuli, pain intensity can vary greatly in some individuals. Understanding these variations is important, given the increase in investigations that assume stable baseline pain for accurate response profiles, such as studies of analgesic mechanisms. We utilized functional magnetic resonance imaging to examine the differences in neural circuitry between individuals displaying consistent pain ratings and those who experienced variable pain during a series of identical noxious stimuli. We investigated 63 healthy participants: 31 were assigned to a "consistent" group, and 32 were assigned to a "variable" group dependent on pain rating variability. Variable pain ratings were associated with reduced signal intensity in the dorsolateral prefrontal cortex (dlPFC). Furthermore, the dlPFC connectivity with the primary somatosensory cortex and temperoparietal junction was significantly reduced in variable participants. Our results suggest that investigators should consider variability of baseline pain when investigating pain modulatory paradigms. Additionally, individuals with consistent and variable pain ratings differ in their dlPFC activity and connectivity with pain-sensitive regions during noxious stimulation, possibly reflecting the differences in attentional processing and catastrophizing during pain.

Speech Perception Variability in Childhood Apraxia of Speech: Implications for Assessment and Intervention.

Beyond hallmark production deficits characterizing childhood apraxia of speech (CAS), largely attributed to disruption(s) in speech motor planning, children with CAS often present with co-occurring speech perception and language difficulties. Thus, careful consideration of the potential for speech perception difficulties to have cascading downstream effects on intervention responsiveness and real-life functioning for some children with CAS is highly important. The purpose of this tutorial was to consider the impact of speech perception abilities in children with CAS, which carries implications for caring for the needs of the whole child. This tutorial summarizes the current literature on speech perception and how it relates to speech production, language, and reading abilities for children with CAS. We include case illustrations that are adapted from real clinical scenarios illustrating how speech perception difficulties may impact some children with CAS and provide recommendations for incorporating speech perception into assessment and intervention practices. Although speech perception difficulties do not seem to be a core deficit of CAS, they are strongly linked to language difficulties, which are highly prevalent among children with CAS. Speech perception and language difficulties are also associated with reading difficulties and risk for lower academic achievement. Children with CAS who have co-occurring language difficulties likely also demonstrate speech perception deficits, which puts them at heightened risk for reading difficulties and struggles with academic achievement. Comprehensive assessment of children with CAS should address speech perception and production, language, and reading abilities, which carries important implications for multifaceted approaches to intervention.

PROBLEMS OF THE INTERPRETATIVE TREATMENT OF F. SHOPIN’S WORKS ON THE EXAMPLE OF BALLAD NO.1, OP. 23

In this article, on the basis of the method of comparative analysis, the author examines the phenomenon of piano interpretation, touching upon the issues of performing interpretation using examples of the treatment of F. Chopin’s Ballad No.1 by three of the greatest contemporary pianists – A. Rubinstein, K. Zimerman and S. Neuhaus. The variability of perception of this work in their interpretations once again raises the problem of objectivity and subjectivity of performance, the degree of freedom of the performer. The interpretative and stylistic contrast of interpretation presented in the work allows us to consider some of the features of the evolution of piano traditions in the 20th century.

Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction.

Metal artifact reduction (MAR) algorithms are used with cone beam computed tomography (CBCT) during augmented reality surgical navigation for minimally invasive pedicle screw instrumentation. The aim of this study was to assess intra- and inter-observer reliability of pedicle screw placement and to compare the perception of baseline image quality (NoMAR) with optimized image quality (MAR). CBCT images of 24 patients operated on for degenerative spondylolisthesis using minimally invasive lumbar fusion were analyzed retrospectively. Images were treated using NoMAR and MAR by an engineer, thus creating 48 randomized files, which were then independently analyzed by 3 spine surgeons and 3 radiologists. The Gertzbein and Robins classification was used for screw accuracy rating, and an image quality scale rated the clarity of pedicle screw and bony landmark depiction. Intra-class correlation coefficients (ICC) were calculated. NoMAR and MAR led to similarly good intra-observer (ICC > 0.6) and excellent inter-observer (ICC > 0.8) assessment reliability of pedicle screw placement accuracy. The image quality scale showed more variability in individual image perception between spine surgeons and radiologists (ICC range 0.51–0.91). This study indicates that intraoperative screw positioning can be reliably assessed on CBCT for augmented reality surgical navigation when using optimized image quality. Subjective image quality was rated slightly superior for MAR compared to NoMAR.

Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches

Neurorehabilitation in patients suffering from motor deficits relies on relearning or re-adapting motor skills. Yet our understanding of motor learning is based mostly on results from one or two-dimensional experimental paradigms with highly confined movements. Since everyday movements are conducted in three-dimensional space, it is important to further our understanding about the effect that gravitational forces or perceptual anisotropy might or might not have on motor learning along all different dimensions relative to the body. Here we test how well existing concepts of motor learning generalize to movements in 3D. We ask how a subject’s variability in movement planning and sensory perception influences motor adaptation along three different body axes. To extract variability and relate it to adaptation rate, we employed a novel hierarchical two-state space model using Bayesian modeling via Hamiltonian Monte Carlo procedures. Our results show that differences in adaptation rate occur between the coronal, sagittal and horizontal planes and can be explained by the Kalman gain, i.e., a statistically optimal solution integrating planning and sensory information weighted by the inverse of their variability. This indicates that optimal integration theory for error correction holds for 3D movements and explains adaptation rate variation between movements in different planes.

Neural signatures of individual variability in context-dependent perception of ambiguous facial expression

How do we incorporate contextual information to infer others’ emotional state? Here we employed a naturalistic context-dependent facial expression estimation task where participants estimated pleasantness levels of others’ ambiguous expression faces when sniffing different contextual cues (e.g., urine, fish, water, and rose). Based on their pleasantness rating data, we placed participants on a context-dependency continuum and mapped the individual variability in the context-dependency onto the neural representation using a representational similarity analysis. We found that the individual variability in the context-dependency of facial expression estimation correlated with the activity level of the pregenual anterior cingulate cortex (pgACC) and the amygdala and was also decoded by the neural representation of the ventral anterior insula (vAI). A dynamic causal modeling revealed that those with higher context-dependency exhibited a greater degree of the modulation from vAI to the pgACC. These findings provide novel insights into the neural circuitry associated with the individual variability in context-dependent facial expression estimation and the first empirical evidence for individual variability in the predictive accounts of affective states.

Role of soil perception and soil variability by smallholder farmers in the low adoption rates of extension packages in Central America

Food systems are under pressure to produce more food of higher quality while reducing the pressure on natural resources. Currently, land degradation is widespread, especially in areas with smallholder farming. Agricultural extension may help farmers to adopt sustainable practices. However, adoption rates of interventions are often low in smallholder farming. This paper carries out an ex-ante analysis to determine to what extent the perception of soil characteristics (land cover, slope, soil organic matter, surface stoniness, and texture) and soil variability (how much acid or basic is the soil, i.e., pH level, and level of electric conductivity-EC) limit adoption with the final goal to design better policies to crop productivity. Differences in the perception of soil characteristics and variability between farmers and agricultural specialists, may result in situations where technological packages arrive at farms that are not likely to adopt or do not arrive at farmers that are likely to adopt. This paper studies differences in perception of soil characteristics and soil variability between agricultural specialists and farmers. Smallholder farmers in Central America producing beans were found to have different perceptions of soil characteristics relative to agricultural specialists. In addition, soil variability was considerable. As a result, it is concluded that soil perception and soil variability are likely causes of low adoption rates. Reducing the information gap with respect to the real needs of farmers will make policies more effective, resulting in higher adoption rates of new technologies and increased productivity.

Spontaneous Alpha-Band Oscillations Bias Subjective Contrast Perception.

Perceptual decisions depend both on the features of the incoming stimulus and on the ongoing brain activity at the moment the stimulus is received. Specifically, trial-to-trial fluctuations in cortical excitability have been linked to fluctuations in the amplitude of prestimulus α oscillations (∼8-13 Hz), which are in turn are associated with fluctuations in subjects' tendency to report the detection of a stimulus. It is currently unknown whether α oscillations bias postperceptual decision-making, or even bias subjective perception itself. To answer this question, we used a contrast discrimination task in which both male and female human subjects reported which of two gratings (one in each hemifield) was perceived as having a stronger contrast. Our EEG analysis showed that subjective contrast was reduced for the stimulus in the hemifield represented in the hemisphere with relatively stronger prestimulus α amplitude, reflecting reduced cortical excitability. Furthermore, the strength of this spontaneous hemispheric lateralization was strongly correlated with the magnitude of individual subjects' biases, suggesting that the spontaneous patterns of α lateralization play a role in explaining the intersubject variability in contrast perception. These results indicate that spontaneous fluctuations in cortical excitability, indicated by patterns of prestimulus α amplitude, affect perceptual decisions by altering the phenomenological perception of the visual world.SIGNIFICANCE STATEMENT Our moment-to-moment perception of the world is shaped by the features of the environment surrounding us, as much as by the constantly evolving states that characterize our brain activity. Previous research showed how the ongoing electrical activity of the brain can influence whether a stimulus has accessed conscious perception. However, evidence is currently missing on whether these electrical brain states can be associated to the subjective experience of a sensory input. Here we show that local changes in patterns of electrical brain activity preceding visual stimulation can bias our phenomenological perception. Importantly, we show that the strength of these variations can help explain the great interindividual variability in how we perceive the visual environment surrounding us.

Colors, Perceptual Variation, and Science

Colors, Perceptual Variation, and Science

Analysis of Verticality Perception in Older Adults With and Without Acute Stroke in Half-Lying Versus Sitting Positions.

Currently, there is no research consensus regarding the influence of body position on verticality perception in acute stroke. In this study, we aimed to compare the influence of half-lying and sitting positions on measurements of the subjective visual vertical (SVV) and the subjective haptic vertical (SHV) of individuals in the acute stroke phase. In this cross-sectional study, we compared these positional experiences in two groups of participants: adults in the acute stroke phase and elderly individuals without stroke. Independent variables were stroke versus no-stroke groups, in half-lying versus sitting positions. Analyzed variables of related interest were cognition (Mini-Mental State Examination or MMSE), stroke severity (National Institutes of Health Stroke Scale or NIHSS), and trunk control (Trunk Impairment Scale or TIS). Dependent variables were visual and haptic verticality, as evaluated by SVV and SHV. There were observed differences in absolute SVV in sitting position between groups (p = 0.021), absolute SVV in half-lying position between groups (p = 0.033), absolute SHV in sitting position between groups (p = 0.003), absolute SHV in half-lying position between groups (p = 0.002), and constant SVV in half-lying position between groups (p = 0.007). In the stroke group there was a higher coefficient of variation of SVV and SHV in the half-lying position compared to sitting position. In the sitting position, we observed a very strong correlation between the TIS and absolute SHV (p = 0.008). We concluded that individuals in the acute phase of stroke had greater misperceptions of visual and haptic verticality than older adults without strokes and that individuals in the acute phase of stroke showed less variability in visual and haptic vertical perception in the sitting position than in the half-lying position. By implication, we should encourage the sitting position in the acute stroke phase and develop early strategies to increase the verticality perception.

The role of time perception in intertemporal decision-making: New exploration of time decision-making model

<p id="p00005">Intertemporal decision-making is very frequent in life, and they require individuals to weigh the outcomes at different points of time before making a choice. Time and value are the basic dimensions of intertemporal decision-making, and decision-makers have to consider value as well as more about the impact of time interval. Although many studies have explored the value dimension, there are still many doubts in the time dimension. A growing body of research suggests that people's subjective perception of the time interval, as opposed to the objective time interval, is the direct factor influencing the intertemporal decision. Therefore, the traditional exponential discount and hyperbolic models do not explain the variability in intertemporal decision-making in terms of time perception. How does time perception affect individuals' intertemporal decision-making? What are the theoretical and neural mechanisms behind the role of time perception? What are the shortcomings of the existing theoretical models? Answering these queries is essential for further research on the relationship between time perception and intertemporal decision-making. <br/>The role of time perception on intertemporal decision-making mainly consists of three ways: (1) Time length perception, which refers to people's subjective estimation of the distance of delay time. The shorter the perceived time length, the less patience people have to wait for the delayed benefit. (2) Time resource perception, which refers to the estimation of how much time resources people have at their disposal. The less time resources people perceive, the more they prefer immediate benefits. (3) Time frame perception, which refers to the change of time description will affect individuals' decision preferences. For example, when the direction of time points to the future, and people are more likely to magnify the value of future gains subjectively. <br/>In terms of the neural mechanisms underlying the role of temporal perception, intertemporal decision-making at the micro-level is closely related to the activation of temporal length perception, subjective value assessment, and impulsivity-related brain regions. In contrast, intertemporal decision-making is closely related to cortico-limbic-striatal neural circuits at the macro level. Researchers have proposed different theoretical models to explain the behavioral dimension of the role of temporal perception. The mainstream theories mainly include the logarithmic/exponential time discount model, the perceived time based model, and the multi-attribute drift diffusion model. The logarithmic/exponential time discount model is constructed based on the exponential discount model, which replaces the original objective time distance with time length perception. The perceived time based model is built to describe the variability of individual time perception. The Multi-attribute drift diffusion model is mainly used to describe the contribution of the attention to the time or value dimension of the decision-making. We believe that the above models only expose the mechanism of time perception from one aspect of the psychological process and lack a unified theory to describe the process of intertemporal decision-making as a whole. In general, the existing models have two limitations: (1) The effect of time perception on intertemporal decision-making differs between the long and short time spacing conditions. (2) People's preferences for intertemporal decision-making differ in actual and expected situations. In order to more accurately describe and explain the psychological mechanism of time perception influencing intertemporal decision making, future studies should strengthen the exploration of the process mechanism and try to construct a unified theoretical model of time perception-intertemporal decision making. Meanwhile, the study of neurophysiological mechanisms should be strengthened, from which the rationality of the theoretical model can be verified. In addition, it is necessary to pay attention to the application value of the research and design the training method of time perception to reduce the probability of people's irrational decision-making.