The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability.

This paper presents a new test of object-matching ability: the Novel Object-Matching Test (NOM Test). Object-matching (or visual comparison) is a complex cognitive and perceptual visual comparison task undertaken by forensic scientists - yet no openly available, standardised and psychometrically validated test of object-matching ability exists. This is in contrast to other visual comparison domains like face-matching where many tests are widely available. In this paper, we present the development and psychometric validation of the first openly available object-matching test where people view two complex artificial visual patterns side-by-side and decide if they are from the same source or different sources. We provide normative data and psychometric properties for two long-form and two short-form versions of the test, and two additional versions designed to identify high and low-performers. We also provide evidence of discriminant validity and convergent validity that demonstrates the NOM Test correlates strongly with other object-matching tasks like fingerprint-matching - but not other tasks requiring cognitive-perceptual skill (e.g., visual intelligence). The NOM Test is free for research use with acknowledgment and is available at https://osf.io/pv6ye/ .

Judging experts: Australian magistrates' evaluations of expert opinion quality.

Expert opinions admitted by courts are not always valid and reliable. However, we know little about how indicators of opinion quality affect the persuasiveness of an expert. In this study 25 Australian magistrates and 22 jury-eligible lay people rated the persuasiveness (via credibility, value and weight) of either a high- or a low-quality expert opinion. Opinion quality was determined using attributes specified in the Expert Persuasion Expectancy (ExPEx) framework: Field, Specialty, Ability and Trustworthiness. Both magistrates and jurors were significantly more persuaded by the high- than the low-quality expert opinion. Magistrates were also significantly more sceptical of the expert opinion than lay people, and when given the opportunity sought information that was logically relevant to their decision. These results suggest that magistrates can differentiate between high- and low-quality expert opinions, but it is unclear whether the information they need for the task is actually available for use during trials.

Smoking and finances: baseline characteristics of low income daily smokers in the FISCALS cohort.

BACKGROUND: Financial stress is a barrier to successful smoking cessation and a key predictor of relapse. Little is known about the financial situation of low-income Australian daily smokers. This study aims to describe and investigate associations between the financial functioning, tobacco use and quitting behaviours of low income daily smokers. METHODS: Low-income Australian adult smokers in the 'Financial Intervention for Smoking Cessation Among Low-income Smokers (FISCALS) randomised clinical trial completed a structured telephone questionnaire. RESULTS: The median number of cigarettes typically smoked by the 1047 participants was 23 per day. The median spent on tobacco per week was AU$80. Three quarters (73.0%) reported some financial stress and 43.2% reported smoking-induced deprivation. Financial stress was significantly associated with deprivation (IRR: 1.23, 95% CI 1.21, 1.26, p < 0.001). There were no significant associations either between adjusted financial stress or deprivation and motivation to quit or certainty of quit success. CONCLUSIONS: Financial stress and smoking induced deprivation were prevalent among low-income daily smokers, but they were not associated with motivation to quit. Smoking cessation interventions need to be responsive to the role financial stress plays in reducing quit attempts and increasing relapse. TRIAL REGISTRATION: Australian and New Zealand Clinical trials Registry ACTRN12612000725864 6/07/2012.

On the likelihood of "encapsulating all uncertainty".

The assignment of personal probabilities to form a forensic practitioner's likelihood ratio is a mental operation subject to all the frailties of human memory, perception and judgment. While we agree that beliefs expressed as coherent probabilities are neither 'right' nor 'wrong' we argue that debate over this fact obscures both the requirement for and consideration of the 'helpfulness' of practitioner's opinions. We also question the extent to which a likelihood ratio based on personal probabilities can realistically be expected to 'encapsulate all uncertainty'. Courts cannot rigorously assess a forensic practitioner's bare assertions of belief regarding evidential strength. At a minimum, information regarding the uncertainty both within and between the opinions of practitioners is required.

Thinking forensics: Cognitive science for forensic practitioners.

Human factors and their implications for forensic science have attracted increasing levels of interest across criminal justice communities in recent years. Initial interest centred on cognitive biases, but has since expanded such that knowledge from psychology and cognitive science is slowly infiltrating forensic practices more broadly. This article highlights a series of important findings and insights of relevance to forensic practitioners. These include research on human perception, memory, context information, expertise, decision-making, communication, experience, verification, confidence, and feedback. The aim of this article is to sensitise forensic practitioners (and lawyers and judges) to a range of potentially significant issues, and encourage them to engage with research in these domains so that they may adapt procedures to improve performance, mitigate risks and reduce errors. Doing so will reduce the divide between forensic practitioners and research scientists as well as improve the value and utility of forensic science evidence.

Associations between behavioural risk factors and smoking, heavy smoking and future smoking among an Australian population-based sample.

INTRODUCTION: Tobacco smoking co-occurs with behavioural risk factors including diet, alcohol use and obesity. However, the association between behavioural risk factors and heavy smoking (>20cig/day) compared to light-moderate smoking is unknown. The link between behavioural risk factors and future smoking for both ex and current smokers is also unknown. This study sought to examine these relationships. It is hypothesised that behavioural risk factors will be more strongly associated with heavy smoking. METHOD: Data from Wave 7 (2007) of the Household and Labour Dynamics in Australia (HILDA) survey was analysed using logistic regression to determine relationships between diet (fruit and vegetable consumption, and unhealthy diet choices), alcohol consumption, obesity and physical activity with light-moderate smoking and heavy smoking. The association between these risk factors and future smoking (2008) was assessed for current and ex-smokers (2007). RESULTS: Obese respondents were less likely to be light/moderate smokers (RRR: 0.53; 95% CI: 0.43, 0.66) but not heavy smokers. Those who consume confectionary weekly were less likely to be light/moderate smokers (RRR: 0.73; 95% CI: 0.61, 0.87), but not heavy smokers. Smokers in 2007 were more likely to continue smoking in 2008 if they consumed 1-4 drinks per occasion (OR: 2.52; 95% CI: 1.13, 5.62). Ex-smokers in 2007 were less likely to relapse in 2008 if they consumed recommended levels of both fruit and vegetables (OR: 0.31; CI: 0.10, 0.91). CONCLUSION: The relationships between heavy smoking and behavioural risk factors differ from moderate-light smoking. Future primary care interventions would benefit from targeting multiple risk factors, particularly for heavy smokers.

Perception problems of the verbal scale: A reanalysis and application of a membership function approach.

Verbal conclusion scales provide a standardized vocabulary that forensic scientists can adopt to describe the amount of support offered by a set of observations with regard to two competing hypotheses. The extent to which these verbal scales can efficiently and accurately communicate strength of support to lay evaluators is, however, an empirical matter of considerable importance. The aim of this paper was to reexamine the results of a recent study measuring lay interpretations of expert verbal phrases (Mullen et al., 2014) and to further improve upon those estimates through the utilization of a membership function approach. Across both the reexamination (n=400) and the new experiment (n=134) 534 participants provided translations of expert verbal conclusion scales used by forensic scientists. Overall, there is compelling evidence that the correspondence between expert intentions and lay interpretations is low, while the potential for miscommunication is high. Consequently, further attention is required to facilitate the development of valid and reliable verbal conclusion scales which clearly communicate expert evaluative opinions.

Use of smoking cessation and quit support services by socioeconomic status over 10 years of the national drug strategy household survey.

OBJECTIVES: The aim of this research was to examine the use of quit smoking services and support options in Australia with national survey data to determine whether use of quit smoking services and pharmacotherapy contributes to socioeconomic status (SES) differences in smoking. METHODS: Analyses were performed with data from 4 waves of the Australian National Drug Strategy Household Survey between 2001 and 2010. The primary outcomes were the use of quit smoking services or pharmacotherapy. The main predictor variables used were measures of SES including the Socio-Economic Indexes for Areas, income, and education. Other sociodemographic variables were also examined. RESULTS: There was no systematic SES difference in the use of services or support options, with some used more by high SES and some used more by low SES. Those with university education (odds ratio [OR] = 0.72; 95% CI = 0.56-0.93) were less likely to use prescription medication. Conversely, those with higher incomes were more likely to use patches, gum, or an inhaler (OR = 1.13; 95% CI = 1.01-1.27). Prescription medication was significantly associated with increased odds for recent cessation, although only among those with lower levels of education (OR = 2.50; 95% CI = 1.94-3.23). Those with higher SES had the greatest odds for recent cessation. CONCLUSIONS: The evidence suggests that low-SES smokers use quit services and support options equally compared with high-SES smokers; thus, access does not drive the SES differential in smoking. However, the findings are positive, suggesting that increasing the uptake of prescription medication may help increase cessation rates among low-SES smokers.

The relationship between socioeconomic status and 'hardcore' smoking over time--greater accumulation of hardened smokers in low-SES than high-SES smokers.

OBJECTIVES: This paper used national survey data to investigate 'hardcore' smoking as predicted by the 'hardening hypothesis', and to examine the relationship between 'hardcore' smoking and socioeconomic status (SES). METHODS: Analyses were performed using data from four waves of the Australian National Drug Strategy Household Survey between 2001 and 2010, a large national survey with a sample size of approximately 24,000 participants per wave. The primary outcome variable was 'hardcore' smoking, comprised of the variables: 'no quit attempt in past 12 months'; 'no plan to quit'; and smoking more than 15 cigarettes per day. The main predictor variables used were SES assessed by the Socio-Economic Indexes for Areas (SEIFA), and survey wave. Other sociodemographic variables were also examined. RESULTS: Overall, 'hardcore' smoking remained stable from 2001 to 2010. However, 'hardcore' smoking declined among high-SES smokers (from 1.8% to 1.0%), but not among low-SES smokers (around 3.4%). 'Hardcore' smoking was strongly associated with SEIFA quintile (p<0.001). There was a significant interaction effect between top and bottom SEIFA quintiles and wave (p=0.025), with a decline in 'hardcore' smoking measures over the four waves among those in the top two SEIFA quintiles, with odds in 2010 of 0.39 (95% CI 0.17 to 0.87; p=0.012), down from 0.64 (95% CI 0.50 to 0.82; p<0.001) in 2001, while 'hardcore' smoking remained stable among those in the bottom two SEIFA quintiles. CONCLUSIONS: The results from high SES smokers suggest 'hardcore' smokers are able to quit, but outcomes among low-SES smokers are less encouraging.

Speaker identification in courtroom contexts - Part III: Groups of collaborating listeners compared to forensic voice comparison based on automatic-speaker-recognition technology.

Expert testimony is only admissible in common-law systems if it will potentially assist the trier of fact. In order for a forensic-voice-comparison expert's testimony to assist a trier of fact, the expert's forensic voice comparison should be more accurate than the trier of fact's speaker identification. "Speaker identification in courtroom contexts - Part I" addressed the question of whether speaker identification by an individual lay listener (such as a judge) would be more or less accurate than the output of a forensic-voice-comparison system that is based on state-of-the-art automatic-speaker-recognition technology. The present paper addresses the question of whether speaker identification by a group of collaborating lay listeners (such as a jury) would be more or less accurate than the output of such a forensic-voice-comparison system. As members of collaborating groups, participants listen to pairs of recordings reflecting the conditions of the questioned- and known-speaker recordings in an actual case, confer, and make a probabilistic consensus judgement on each pair of recordings. The present paper also compares group-consensus responses with "wisdom of the crowd" which uses the average of the responses from multiple independent individual listeners.

Understanding 'error' in the forensic sciences: A primer.

This paper distils seven key lessons about 'error' from a collaborative webinar series between practitioners at Victoria Police Forensic Services Department and academics. It aims to provide the common understanding of error necessary to foster interdisciplinary dialogue, collaboration and research. The lessons underscore the inevitability, complexity and subjectivity of error, as well as opportunities for learning and growth. Ultimately, we argue that error can be a potent tool for continuous improvement and accountability, enhancing the reliability of forensic sciences and public trust. It is hoped the shared understanding provided by this paper will support future initiatives and funding for collaborative developments in this vital domain.

The expression and interpretation of uncertain forensic science evidence: verbal equivalence, evidence strength, and the weak evidence effect.

Standards published by the Association of Forensic Science Providers (2009, Standards for the formulation of evaluative forensic science expert opinion, Science & Justice, Vol. 49, pp. 161-164) encourage forensic scientists to express their conclusions in the form of a likelihood ratio (LR), in which the value of the evidence is conveyed verbally or numerically. In this article, we report two experiments (using undergraduates and Mechanical Turk recruits) designed to investigate how much decision makers change their beliefs when presented with evidence in the form of verbal or numeric LRs. In Experiment 1 (N = 494), participants read a summary of a larceny trial containing inculpatory expert testimony in which evidence strength (low, moderate, high) and presentation method (verbal, numerical) varied. In Experiment 2 (N = 411), participants read the same larceny trial, this time including either exculpatory or inculpatory expert evidence that varied in strength (low, high) and presentation method (verbal, numerical). Both studies found a reasonable degree of correspondence in observed belief change resulting from verbal and numeric formats. However, belief change was considerably smaller than Bayesian calculations would predict. In addition, participants presented with evidence weakly supporting guilt tended to "invert" the evidence, thereby counterintuitively reducing their belief in the guilt of the accused. This "weak evidence effect" was most apparent in the verbal presentation conditions of both experiments, but only when the evidence was inculpatory. These findings raise questions about the interpretability of LRs by jurors and appear to support an expectancy-based account of the weak evidence effect.

Thinking false and slow: Implausible beliefs and the Cognitive Reflection Test.

Why do people believe implausible claims like conspiracy theories, pseudoscience, and fake news? Past studies using the Cognitive Reflection Test (CRT) suggest that implausible beliefs may result from an unwillingness to effortfully process information (i.e., cognitive miserliness). Our analysis (N = 664) tests this account by comparing CRT performance (total score, number and proportion of incorrect intuitive responses, and completion time) for endorsers and non-endorsers of implausible claims. Our results show that endorsers performed worse than non-endorsers on the CRT, but they took significantly longer to answer the questions and did not make proportionally more intuitive mistakes. Endorsers therefore appear to process information effortfully but nonetheless score lower on the CRT. Poorer overall CRT performance may not necessarily indicate that those who endorse implausible beliefs have a more reflexive, intuitive, or non-analytical cognitive style than non-endorsers.

Speaker identification in courtroom contexts - Part II: Investigation of bias in individual listeners' responses.

In "Speaker identification in courtroom contexts - Part I" individual listeners made speaker-identification judgements on pairs of recordings which reflected the conditions of the questioned-speaker and known-speaker recordings in a real case. The recording conditions were poor, and there was a mismatch between the questioned-speaker condition and the known-speaker condition. No contextual information that could potentially bias listeners' responses was included in the experiment condition - it was decontextualized with respect to case circumstances and with respect to other evidence that could be presented in the context of a case. Listeners' responses exhibited a bias in favour of the different-speaker hypothesis. It was hypothesized that the bias was due to the poor and mismatched recording conditions. The present research compares speaker-identification performance between: (1) listeners under the original Part I experiment condition, (2) listeners who were informed ahead of time that the recording conditions would make the recordings sound more different from one another than had they both been high-quality recordings, and (3) listeners who were presented with high-quality versions of the recordings. Under all experiment conditions, there was a substantial bias in favour of the different-speaker hypothesis. The bias in favour of the different-speaker hypothesis therefore appears not to be due to the poor and mismatched recording conditions.

Finding the perfect match: Fingerprint expertise facilitates statistical learning and visual comparison decision-making.

Forensic feature-comparison examiners compare-or "match"-evidence samples (e.g., fingerprints) to provide judgments about the source of the evidence. Research demonstrates that examiners in select disciplines possess expertise in this task by outperforming novices-yet the psychological mechanisms underpinning this expertise are unclear. This article investigates one implicated mechanism: statistical learning, the ability to learn how often things occur in the environment. This ability is likely important in forensic decision-making as samples sharing rarer statistical information are more likely to come from the same source than those sharing more common information. We investigated 46 fingerprint examiners' and 52 novices' statistical learning of fingerprint categories and application of this knowledge in a source-likelihood judgment task. Participants completed four measures of their statistical learning (frequency discrimination judgments, bounded and unbounded frequency estimates, and source-likelihood judgments) before and after familiarization to the "ground-truth" category frequencies. Compared to novices, fingerprint examiners had superior domain-specific statistical learning across all measures-both before and after familiarization. This suggests that fingerprint expertise facilitates domain-specific statistical learning-something that has important theoretical and applied implications for the development of training programs and statistical databases in forensic science. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Reliability and validity of a quality tool for assessing clinical forensic medicine legal reports.

OBJECTIVE: It is essential that reports written by forensic medicine practitioners undergo appropriate quality control. The aim of this study is to develop and validate a tool for assessing the quality of medico-legal reports in adult and adolescent sexual assault cases. METHODS: The authors developed an audit tool and accompanying guideline aimed at detecting errors, omissions, and inadequacies in medico-legal reports following reported adult or adolescent sexual assault. The authors conducted a benchmarking exercise to reach an agreed audit standard. Subsequently two forensic examiners audited 5 legal reports, first without the tool, and then with the tool following standardised instruction. A further ten forensic examiners audited 20 reports after receiving instruction in use of the tool. Their results were compared to the agreed audit standard. Participants were interviewed about their experiences. RESULTS: Use of the tool to audit reports significantly increased the sensitivity of error detection compared to usual practice (sensitivity with usual practice 55% vs sensitivity with tool 80%). Study participants using the tool to audit 20 reports detected 73% of items designated as errors by the study authors. The overall accuracy in coding items as errors/not errors was 74%. Interrater reliability was good (Cronbach's alpha = 0.87). Sensitivity, overall accuracy, and interrater reliability results varied by category in the audit: reviewers had lower levels of error detection and lower levels of agreement when auditing opinions in the report as compared to items describing the clinical forensic evaluation. Participants had fundamental disagreements about what constitutes good quality in some aspects of a report, including: the acceptability of including 'non-relevant' history; whether to include references and, if so, what constitutes appropriate citations; and how to determine whether the opinions could be understood by a layperson. Study participants reported that using the audit tool and guideline to review medico-legal reports has merit and suggested improvements to increase usability. CONCLUSION: Use of an audit tool supported by a guideline and training is useful for improving error detection and standardising the review process for clinical forensic medicine legal reports. Further research aimed at improving the consensus about opinion standards in adult and adolescent sexual assault cases would be valuable.

Speaker identification in courtroom contexts - Part I: Individual listeners compared to forensic voice comparison based on automatic-speaker-recognition technology.

Expert testimony is only admissible in common law if it will potentially assist the trier of fact to make a decision that they would not be able to make unaided. The present paper addresses the question of whether speaker identification by an individual lay listener (such as a judge) would be more or less accurate than the output of a forensic-voice-comparison system that is based on state-of-the-art automatic-speaker-recognition technology. Listeners listen to and make probabilistic judgements on pairs of recordings reflecting the conditions of the questioned- and known-speaker recordings in an actual case. Reflecting different courtroom contexts, listeners with different language backgrounds are tested: Some are familiar with the language and accent spoken, some are familiar with the language but less familiar with the accent, and others are less familiar with the language. Also reflecting different courtroom contexts: In one condition listeners make judgements based only on listening, and in another condition listeners make judgements based on both listening to the recordings and considering the likelihood-ratio values output by the forensic-voice-comparison system.

Likeability and Expert Persuasion: Dislikeability Reduces the Perceived Persuasiveness of Expert Evidence.

With the use of expert evidence increasing in civil and criminal trials, there is concern jurors' decisions are affected by factors that are irrelevant to the quality of the expert opinion. Past research suggests that the likeability of an expert significantly affects juror attributions of credibility and merit. However, we know little about the effects of expert likeability when detailed information about expertise is provided. Two studies examined the effect of an expert's likeability on the persuasiveness judgments and sentencing decisions of 456 jury-eligible respondents. Participants viewed and/or read an expert's testimony (lower vs. higher quality) before rating expert persuasiveness (via credibility, value, and weight), and making a sentencing decision in a Capitol murder case (death penalty vs. life in prison). Lower quality evidence was significantly less persuasive than higher quality evidence. Less likeable experts were also significantly less persuasive than either neutral or more likeable experts. This "penalty" for less likeable experts was observed irrespective of evidence quality. However, only perceptions of the foundational validity of the expert's discipline, the expert's trustworthiness and the clarity and conservativeness of the expert opinion significantly predicted sentencing decisions. Thus, the present study demonstrates that while likeability does influence persuasiveness, it does not necessarily affect sentencing outcomes.

Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world.

Automatic facial recognition technology (AFR) is increasingly used in criminal justice systems around the world, yet to date there has not been an international survey of public attitudes toward its use. In Study 1, we ran focus groups in the UK, Australia and China (countries at different stages of adopting AFR) and in Study 2 we collected data from over 3,000 participants in the UK, Australia and the USA using a questionnaire investigating attitudes towards AFR use in criminal justice systems. Our results showed that although overall participants were aligned in their attitudes and reasoning behind them, there were some key differences across countries. People in the USA were more accepting of tracking citizens, more accepting of private companies' use of AFR, and less trusting of the police using AFR than people in the UK and Australia. Our results showed that support for the use of AFR depends greatly on what the technology is used for and who it is used by. We recommend vendors and users do more to explain AFR use, including details around accuracy and data protection. We also recommend that governments should set legal boundaries around the use of AFR in investigative and criminal justice settings.