Detection Theory Analysis Research Articles

Ta doping effect on microstructure and microwave dielectric properties of CoNb2O6‐based ceramics and mechanism study

AbstractAs communication technology continues to evolve, 5G technology is becoming more mature, and 6G technology is steadily advancing. Microwave equipment is moving toward high frequency, miniaturization, low loss and high temperature stability, and microwave dielectric ceramics have been deeply applied in this field. To elevate the Q × f value of CoNb2O6 system, Ta5+ was introduced into CoNb2O6, and CoNb2‐xTaxO6 (0.0 ≤ x ≤ 0.8) ceramics were prepared by the traditional solid‐phase method. By X‐ray diffraction, it was observed that at x = 0.8, in addition to a single niobium ferrite phase, information of tantalate phase also appeared. Raman spectral detection and group theory analysis indicate that Ag(2) and Ag(3) modes are the dominant Raman vibrations at ≈873 cm−1. Furthermore, the polarization rate affects the εr value, and the bond energy of Nb/Ta‐O and the recovery force characterized by the average deformation of the [Nb/TaO6] octahedron are the key elements influencing the temperature coefficient of the resonance frequency (τf). The internal strain, ordered induced size, and chemical bonding valence of ionic valence states are the key factors that can increase the Q × f value. Moreover, the introduction of ions with lower electronegativity leads to an enhanced electronic compensation of oxygen vacancies, which also reduces the dielectric loss. This paper enriches the theory related to low dielectric loss and shows that CoNb1.8Ta0.2O6 (εr = 21.4832, Q × f = 100723 GHz, τf = ‐61.38 ppm/°C) ceramics with superior microwave dielectric properties are expected to be used in wireless communication devices.

Texture congruence modulates perceptual bias but not sensitivity to visuotactile stimulation during the rubber hand illusion.

The sense of body ownership is the feeling that one's body belongs to oneself. To study body ownership, researchers use bodily illusions, such as the rubber hand illusion (RHI), which involves experiencing a visible rubber hand as part of one's body when the rubber hand is stroked simultaneously with the hidden real hand. The RHI is based on a combination of vision, touch, and proprioceptive information following the principles of multisensory integration. It has been posited that texture incongruence between rubber hand and real hand weakens the RHI, but the underlying mechanisms remain poorly understood. To investigate this, we recently developed a novel psychophysical RHI paradigm. Based on fitting psychometric functions, we discovered the RHI resulted in shifts in the point of subjective equality when the rubber hand and the real hand were stroked with matching materials. We analysed these datasets further by using signal detection theory analysis, which distinguishes between the participants' sensitivity to visuotactile stimulation and the associated perceptual bias. We found that texture incongruence influences the RHI's perceptual bias but not its sensitivity to visuotactile stimulation. We observed that the texture congruence bias effect was the strongest in shorter visuotactile asynchronies (50-100 ms) and weaker in longer asynchronies (200 ms). These results suggest texture-related perceptual bias is most prominent when the illusion's sensitivity is at its lowest. Our findings shed light on the intricate interactions between top-down and bottom-up processes in body ownership, the links between body ownership and multisensory integration, and the impact of texture congruence on the RHI.

Efficient degradation of tetracycline via peroxymonosulfate activation by phosphorus-doped biochar loaded with cobalt nanoparticles.

The accumulation of tetracycline hydrochloride (TCH) threatens human health because of its potential biological toxicity. Carbon -based materials with easy isolation and excellent performance that can activate peroxymonosulfate (PMS) to generate reactive oxygen species for TCH degradation are essential, but the development of such materials remains a significant challenge. In this study, based on the idea of treating waste, tricobalt tetraoxide loaded P-doped biochar (Co NP-PBC) was synthesised to activate PMS for the degradation of TCH. Possible degradation pathways and intermediate products of TCH were identified using High performance liquid chromatography tandem mass spectrometry (HPLC-MS) detection and density functional theory analysis. Toxicity analysis software was used to predict the toxicity of the intermediate products. Compared to catalysts loaded with Fe and Mn and other Co-based catalysts, Co NP-PBC exhibited an optimal performance (with a kinetic constant of 0.157 min-1 for TCH degradation), and over 99.0% of TCH can be degraded within 20 min. This mechanism demonstrates that the non-free radical oxidation of 1O2 plays a major role in the degradation of TCH. This study provides insights into the purification of wastewater using BC-based catalysts.

Hypo- and hyper-activation in frontotemporal lobe during humor processing in patients with first episode schizophrenia

BackgroundPatients with schizophrenia present difficulties in humor recognition and appreciation, but the neural mechanism of these deficits remains unclear. This study aimed to elucidate neural substrates underlying humor processing in patients with first episode schizophrenia (FES). MethodsThis study recruited 40 patients with FES (illness duration ≤ 4 years) and 31 healthy controls matching for age, gender and education level. Participants completed a fMRI verbal humor processing paradigm comprising 96 stories, half for funny punch-line condition and the other half for unfunny condition. Participants were required to judge whether the story was funny or not. Signal detection theory (SDT) analysis was used to calculate d' and β values which represented sensitivity and inner criteria for humor signals respectively. The funny-unfunny contrast was analyzed to identify the brain regions related with humor processing. d' and β values were put into the imaging regression analysis. ResultsPatients with FES showed significantly lower hit rate and sensitivity of humor signals (d'). At the neural level, patients with FES hypo-activated in ventral medial prefrontal cortex (vmPFC) and anterior cingulate cortex (ACC) while hyper-activated in middle temporal gyrus (MTG) and superior temporal gyrus (STG) compared to controls. In addition, activity in vmPFC and ACC was positively associated with d’ and β values, while activity in STG was positively associated with β values in the clinical group. ConclusionsPatients with FES exhibited decreased sensitivity to humor signals. Hypo-activation in frontal regions and hyper-activation in temporal regions were associated with the humor processing deficits.

77 Performance on Tests of Attention and Mental Flexibility Predicts Metacognitive Accuracy

Objective:The process of metacognitive monitoring refers to one’s ability to incorporate rapid in-the-moment self-assessments of their cognitive performance. An area of interest within this literature concerns metacognitive accuracy (MA), or the extent to which an individual can discern when their own judgments are incorrect/correct. Much of the work in this area has either focused on school-aged samples or clinical samples, with findings of impairment in metacognitive processes associated with traumatic brain injury, Schizophrenia, cerebrovascular accidents, and Alzheimer’s disease. Notably, decreased working memory and executive functioning are frequently reported in samples with low MA, suggesting a possible reliance on basic cognitive resources in the facilitation of metacognitive processes. Thus, the goal of this investigation was to elucidate potential relationships between individual domains of cognition and higher-order MA. We hypothesized that performance on measures of working memory and executive function would be positively associated with measures of MA.Participants and Methods:Data from 87 undergraduate students who volunteered in research for class credit were used. All participants completed a computerized metamemory task where six lists of 12 words each paired with varying point values were first presented to the participants. After each list, participants were instructed to score as many points as possible by recalling words they could remember. After a brief delay, participants completed a recognition task using the words presented earlier and provided a retrospective confidence judgement (RCJ) following each item. A metric for MA, meta d', was calculated using signal-detection theory analysis from the reported RCJs and recognition task performance. Participants also completed neuropsychological tests of attention (Trails A), working memory (WM; Backward Digits), executive function (EF; Trails B), mental flexibility (MF; Trails B/A Ratio), and processing speed (Symbol Digit Modalities). A sequential multiple regression was performed with meta d’ serving as the criterion, with education, age, and performance on neuropsychological measures entered as predictors.Results:The model indicated that a moderate percentage of the variability (R2 = .201) in metacognitive accuracy could be attributed to the combination of predictors in the model (F (7,79) = 2.843, p = .011). Examination of the regression coefficients indicated that only measures of attention (ß = .638, p = .01), MF (ß = .473, p = .041), and WM ß = .244, p = .024) were significantly related to MA after controlling for all other variables in the model.Conclusions:The model suggests that working memory, attention, and mental flexibility increased in a linear fashion as MA increased. Our hypotheses were partially supported, while working memory predicted MA, its contribution to the overall model was the smallest among the significant predictors. While executive function was not a significant contributor to the model, MF (a component of EF) was. The largest contributor to the model was attention, which supports prior findings in the literature. This outcome would suggest that while separate from EF, metacognitive processes in neurotypical students may rely on other, more basic cognitive processes. These results may prove beneficial in guiding the development of rehabilitative interventions for MA in clinical samples.

Timecourse of two-dimensional decision-making to offensive actions.

Decision-making is an important component in the perception-action coupling required for athletes to achieve fine performance. Signal detection theory (SDT) provides a means of quantifying athletes' decision-making processes, based on their ability to discriminate between different types of stimuli (sensitivity) and the locations of their response criteria along a decision axis in a given situation. Studies have shown differences in these two indices between athletes and less-experienced counterparts, although these studies were limited to unidimensional decision-making problems. In the present study, SDT analysis was applied to two-dimensional decision-making by volleyball players regarding their opponents' attacks, using a four-alternative forced-choice task combining judgments of the type (spike or tip) and direction (cross-court or down-the-line) of attacks. Furthermore, a temporal occlusion task was used to reveal the timecourses of changes in sensitivity and the location of response criteria relating to judgments of attack type and direction. There were three groups of participants, eight top-league players, ten collegiate players, and ten novices. The results showed clear effects of expertise and distinct timecourses for the two types of judgment. For the attack type judgments, the sensitivities of the top-league players were relatively low at the early occlusion points, and their response criteria were biased toward judging attacking actions as spikes. At the late occlusion points, their sensitivity peaked, and there was no bias in their response criteria. For the directional judgments, the sensitivity of the three groups improved as the occlusion point advanced, while their response criteria tended to become more similar, which was not the case for the attack type judgments. These results are discussed together with previous studies of volleyball players' decision-making and judgments regarding deceptive actions in sports.

Dialect and gender perception in relation to the intelligibility of low-pass and high-pass filtered spontaneous speecha).

Most cues to speech intelligibility are within a narrow frequency range, with its upper limit not exceeding 4 kHz. It is still unclear whether speaker-related (indexical) information is available past this limit or how speaker characteristics are distributed at frequencies within and outside the intelligibility range. Using low-pass and high-pass filtering, we examined the perceptual salience of dialect and gender cues in both intelligible and unintelligible speech. Setting the upper frequency limit at 11 kHz, spontaneously produced unique utterances (n = 400) from 40 speakers were high-pass filtered with frequency cutoffs from 0.7 to 5.56 kHz and presented to listeners for dialect and gender identification and intelligibility evaluation. The same material and experimental procedures were used to probe perception of low-pass filtered and unmodified speech with cutoffs from 0.5 to 1.1 kHz. Applying statistical signal detection theory analyses, we found that cues to gender were well preserved at low and high frequencies and did not depend on intelligibility, and the redundancy of gender cues at higher frequencies reduced response bias. Cues to dialect were relatively strong at low and high frequencies; however, most were in intelligible speech, modulated by a differential intelligibility advantage of male and female speakers at low and high frequencies.

Three-Way ROCs for Forensic Decision Making

Firearm examiners use a comparison microscope to judge whether bullets or cartridge cases were fired by the same gun. Examiners can reach one of three possible conclusions: Identification (a match), Elimination (not a match), or Inconclusive. Numerous error rate studies report that firearm examiners commit few errors when they conduct these examinations. However, the studies also report many inconclusive judgments (> 50%), and how to score these responses is controversial. There have recently been three Signal Detection Theory (SDT) primers in this domain. Unfortunately, these analyses rely on hypothetical data and fail to address the inconclusive response issue adequately. This article reports an SDT analysis using data from a large error rate study of practicing firearm examiners. First, we demonstrate the problem of relying on the traditional two-way SDT model, which either drops or combines inconclusive responses; in addition to lacking ecological validity, this approach leads to implausible results. Second, we introduce readers to the three-way SDT model. We demonstrate this approach in the forensic firearms domain. While the three-way approach is statistically complicated, it is well suited to evaluate performance for any forensic domain in which three possible decision categories exist.

Sensory test A-Not A rating signal detection: Panel’s sensory learning and stability of decision criteria

Signal detection theory (SDT) sensory discrimination analysis using A-Not A with a two-step rating is an efficient approach to in-house sensory quality management in the food industry. For such sensory analysis using an internal panel, the panels’ ability to use stable decision criteria and provide a consistent response distribution responding to “A” vs “Not A” is critical for guaranteeing the data quality. This study examined the effects of the familiarization procedure (FP) and reference presentation probability (RPP) in the SDT A-Not A rating protocol on the panels’ sensory learning of samples and stability of decision criteria using SDT parameters, recognition d' (d'Rec),criteria location (c), and discrimination d' indices. Three different protocols were compared using ice-tea samples with small differences: Control, 0.25 RPP with repeated reference tasting (FPR); Modified-1, 0.25 RPP with reference categorization (FPC); Modified-2, 0.5 RPP with reference categorization (FPC). An independent sample design with three groups having equal sensitivity was used to identify the differences among the protocols. For each protocol, two sub-groups with similar decision criteria (response bias) were formed according to the results obtained from the pre-test and used for the main-test analysis. SDT analysis results indicated that the Modified-2 protocol with a higher RPP (0.5) induced the most efficient sensory learning of the reference. The protocol improved the subjects’ recognition of the reference and test samples, better differentiating from the reference and stabilizing the decision criterion, resulting in higher discrimination performance (larger d'). The results showed that d'Rec analysis, together with d' analysis using a sensory panel, is a useful tool for monitoring the panel performance and checking for the sensory data quality of the sensory difference tests. In the present paper, a detailed illustration of the A-Not A sensory test procedure and examples of how to apply the SDT indices for different business decision-making is also introduced using the design and results of the present experiment.

Face pareidolia in male schizophrenia

Faces are valuable signals for efficient social interaction. Yet, social cognition including the sensitivity to a coarse face scheme may be deviant in schizophrenia (SZ). Tuning to faces in non-face images such as shadows, grilled toasts, or ink blots is termed face pareidolia. This phenomenon is poorly investigated in SZ. Here face tuning was assessed in 44 male participants with SZ and person-by-person matched controls by using recently created Face-n-Thing images (photographs of non-face objects to a varying degree resembling a face). The advantage of these images is that single components do not automatically trigger face processing. Participants were administered a set of images with upright and inverted (180° in the image plane) orientation. In a two-alternative forced-choice paradigm, they had to indicate whether an image resembled a face. The findings showed that: (i) With upright orientation, SZ patients exhibited deficits in face tuning: they provided much fewer face responses than controls. (ii) Inversion generally hindered face pareidolia. However, while in neurotypical males, inversion led to a drastic drop in face impression, in SZ, the impact of orientation was reduced. (iii) Finally, in accord with the signal detection theory analysis, the sensitivity index (d-prime) was lower in SZ, whereas no difference occurred in decision criterion. The outcome suggests altered face pareidolia in SZ is caused by lower face sensitivity rather than by alterations in cognitive bias. Comparison of these findings with earlier evidence confirms that tuning to social signals is lower in SZ, and warrants tailored brain imaging research.

Individual differences in visual word recognition: the role of epistemically unwarranted beliefs on affective processing and signal detection

AbstractPrevious studies have brought conflicting results regarding the effects of valence and arousal in visual word processing. Some authors have pointed to participants’ individual differences as one of the possible explanations for these inconsistencies. The main aim of the present research was to examine whether participants’ individual differences in the level of epistemically unwarranted beliefs (EUB) contribute to these conflicting results. Therefore, participants who varied in their level of paranormal, pseudoscientific and conspiracy beliefs (assessed by self-report measures) performed a lexical decision task (LDT) and a recognition memory task. Linear mixed-effects models over LDT response times revealed that the effects of words’ emotional content (both valence and arousal) were modulated by the degree of individuals’ EUB. In addition, signal detection theory analyses showed that in the recognition task (but not in the LDT) response bias became more liberal as individuals’ EUB increased. These patterns of effects were not general to all EUB instances. The obtained results highlight the need to consider participants’ individual differences in affective word processing and signal detection. In addition, this study reveals some basic psychological mechanisms that would underlie EUB, a fact that has both theoretical and applied relevance.

The added value of signal detection theory as a method in evidence-informed decision-making in higher education: A demonstration

Signal Detection Theory (SDT) is rarely used in higher education, yet has much potential in informing decision-making. In this methodological paper, we describe the potential of SDT for different higher education contexts and demonstrate its practical application. Both the commonly used regression analyses and SDT analyses provide information on the accuracy of a predictor, and thus which instrument(s) to use. SDT analyses, in addition, provide information on the effects of setting specific cut-off scores on outcomes of interest. SDT provides the sensitivity and specificity information for the chosen instrument(s) at specific cut-off scores (criteria in SDT). This allows for evidence-informed, deliberate choice of cut-off scores to steer toward desired outcomes. Depending on how undesirable false positives and false negatives are considered in a specific situation, a lower or higher cut-off score can be deemed adequate. Using SDT analyses in our example, we demonstrate how to use the results to optimize “real-life” student selection. However, selection is only one of many decision-making practices where SDT is applicable and valuable. We outline some of the areas within higher education decision-making and quality assurance, where SDT can be applied to answer specific questions and optimize decision-making.

Improving the performance of A-Not A sensory discrimination ratings by modifying sample presentation probability

Sensory discrimination analysis based on signal detection theory (SDT) deals with measuring small sensory differences between samples required for various business objectives, including quality control, reformulation, cost reduction, and product development. Variants of the A-Not A test designs have been used for SDT analysis using sensory panels to measure the sensory differences between a reference and multiple test products because they are economical and sensitive for such multiple product comparisons. On the other hand, the test protocols of conducting the A-Not A ratings affect the test performance and data quality. The present study examined the effects of equal sample presentation probability between reference vs test samples (0.5 reference presentation probability, 0.5 RPP) with and without informing a panel of RPP on the test performance of A-Not A and A-Not AR ratings using a reference with three test products. SDT analyses including the novel d'Rec analysis were used to examine these effects. The overall experiment consisted of three protocols: Control – 0.25 RPP without informing; Modified-1 protocol – 0.5 RPP without informing; Modified-2 protocol – 0.5 RPP with informing of the RPP. Compared to the Control, the Modified-1 protocol employing 0.5 RPP without informing improved discrimination performance significantly (higher d′ values) for the A-Not A ratings. Compared with the A-Not A ratings, the effects of the Modified-1 protocol were reduced for the A-Not AR ratings, showing the effects of reminders assisting the evaluations. The test instructions providing information of 0.5 RPP were inefficient. It shifted the panel’s middle decision criteria (c0) close to zero but did not improve the discrimination performance better than the Control. Overall, the efficiency of 0.5 RPP was confirmed using sensory panels for both A-Not A and A-Not A ratings, and it was shown that the novel d'Rec analysis is an efficient way to study the reasons for changes in a panel’s performance and diagnose the sensory data quality obtained from sensory panels.

Perceptual decision-making in autism as assessed by “spot the difference” visual cognition tasks

Discriminating between similar figures proves to be a remarkably demanding task due to the limited capacity of our visual cognitive processes. Here we examine how perceptual inference and decision-making are modulated by differences arising from neurodiversity. A large sample of autistic (n = 140) and typical (n = 147) participants completed two forced choice similarity judgement tasks online. Each task consisted of “match” (identical figures) and “mismatch” (subtle differences between figures) conditions. Signal detection theory analyses indicated a response bias by the autism group during conditions of uncertainty. More specifically, autistic participants were more likely to choose the “mismatch” option, thus leading to more hits on the “mismatch” condition, but also more false alarms on the “match” condition. These results suggest differences in response strategies during perceptual decision-making in autism.

Cognitive Engineering Modeling of Phishing

Using signal detection theory (SDT) and fuzzy SDT, the influence of familiarity with phishing and having a background in cybersecurity on phishing behavior was examined. The results from SDT analysis indicated that familiarity with phishing only accounted for 11% of the variance in sensitivity and 5% in bias. When examining the same using Fuzzy SDT, familiarity with phishing accounted for 6% of the variance in bias. Background in cybersecurity had a statistically significant effect on sensitivity and bias in classical SDT but only on bias in fuzzy SDT. A confusion matrix revealed that the percentage of successfully transmitted information from the stimuli to the judgements made by participants was only 26%. Participants most frequently identified requests for personal information in stimulus emails as phishing cues. Future research should continue to explore application of the different cognitive engineering models to phishing identification.

Expert and novice sensitivity to environmental regularities in predicting NFL games

AbstractWe study whether experts and novices differ in the way they make predictions about National Football League games. In particular, we measure to what extent their predictions are consistent with five environmental regularities that could support decision making based on heuristics. These regularities involve the home team winning more often, the team with the better win-loss record winning more often, the team favored by the majority of media experts winning more often, and two others related to surprise wins and losses in the teams’ previous game. Using signal detection theory and hierarchical Bayesian analysis, we show that expert predictions for the 2017 National Football League (NFL) season generally follow these regularities in a near optimal way, but novice predictions do not. These results support the idea that using heuristics adapted to the decision environment can support accurate predictions and be an indicator of expertise.

Eyewitness Identification in Its Social Context

Much of the literature on eyewitness identification neglects the social context in which identifications are made. As the number of cognitive psychologists conducting eyewitness research increased so did the use of signal detection theory and ROC analyses. With the resulting need for larger sample size, researchers moved toward conducting studies on internet platforms that allow for crowd-sourcing research participants. These methods make it next to impossible to ask research questions that explore the ways in which social interactions influence the identifications made by witnesses. Yet, the possibility of social context effects on witness memory are prevalent in applied contexts and research supports their existence. In addition, some eyewitness identifications may not be governed by memory at all. We argue that a consideration of social context effects is required to fully explore the reliability of witness identifications and propose a number of avenues for future research.

Individual differences in the perception of cue-outcome contingencies: A signal detection analysis

In a signal detection theory (SDT) approach to associative learning, one assumes that, when a subject is exposed to a flow of stimuli, an association is created between the internal representations of a cue and of an outcome, allowing the representation of the cue to activate the representation of the outcome. The outcome activation is a random variable drawn from a Gaussian distribution with mean m (sensitivity to the contingency) and standard deviation d (variability in outcome activation). Depending on whether the outcome activation is above or below various decision thresholds, the participant perceives either a negative, a null, or a positive contingency between the cue and the outcome. This study presents a detailed SDT analysis of the performance of four participants on whom data in a contingency assessment task were collected almost daily during several months. Parameters from the SDT model proved relatively stable over time, except if feedback was provided to the subject. In that case, for some participants but not all, the sensitivity increased. The decision criteria were also affected. Some of these changes endured despite the discontinuation of feedback. The variability in outcome activation was not affected by the feedback.

On hits and being hit on: error management theory, signal detection theory, and the male sexual overperception bias

Although Error Management Theory (EMT) can explain male sexual overperception, more advanced Signal Detection Theory (SDT) analyses can identify sensitivity and bias separately. An SDT analysis of perceptions of relatively clear interest/disinterest signals (Study 1) found that sensitivity to sexual interest/disinterest signals drove participants' perceptions, rather than an overall bias to perceive sexual interest. Cues of interest were generally underperceived, while sensitivity and accuracy were uniformly high. EMT analysis also found overall sexual interest underperception, but with men slightly overperceiving interest relative to women. These discrepant results were due to EMT using difference scores, which obscure baseline perceptions for men and women. Individual differences in life history strategy, mating strategy, and mate value did not affect sensitivity or bias. Study 2 largely replicated these results using more ambivalent scenarios, except EMT analyses found men's misperception to be significantly larger than women's, despite being closer to pre-rated communication levels. These results show that sexual communication may be more nuanced than previously thought, and that an SDT analysis is more appropriate for such data.

Repeated encoding fosters retention of perceptual detail in visual recognition memory.

In a 2014 issue of Learning & Memory, Reagh and Yassa proposed that repeated encoding leads to semanticization and loss of perceptual detail in memory. We presented object images one or three times and tested recognition of targets and corresponding similar lures. Correct lure rejections after one in comparison to three exposures were more frequently associated with corresponding target misses, suggesting that higher lure rejections after one exposure reflect memory failure rather than perceptual fidelity. Signal detection theory analysis showed that three exposures improved lure-old discriminations. Thus, repeated encoding fosters rather than hinders retention of perceptual detail in visual recognition memory.