Is the emotional modulation of the attentional blink driven by response bias?

Several studies have shown that the attentional blink (AB; Raymond, Shapiro, & Arnell, 1992) is diminished for highly arousing T2 stimuli (e.g., Anderson, 2005). Whereas this effect is most often interpreted as evidence for a more efficient processing of arousing information, it could be due also to a bias to report more arousing stimuli than neutral stimuli. We introduce a paradigm that allows one to control for such a response bias. Using this paradigm, we obtained evidence that the diminished AB for taboo words cannot be explained by a response bias. This supports the idea that the emotional modulation of the AB is caused by attentional processes

Limited transfer of threat bias following attentional retraining

Background and objectives Anxiety-related attentional bias for threat is considered an important risk factor for the development and maintenance of anxiety disorders. In line with this idea, recent studies have illustrated that experimentally induced changes in attentional bias have an impact on both non-clinical and clinical levels of anxiety. Still, little is known about the potential transfer of computerized training of attention to different components of attentional processing of threat. Methods In the present study, we trained participants to either avoid or attend towards threatening pictures in a dot probe task, and we examined whether this attentional training transferred to a measure of emotional interference. Results Despite our successful manipulation of attentional bias in the dot probe task, we found no generalization of the attentional training to the interference task. Limitations It is possible that our study lacked statistical power to reveal possible group differences in the interference task. Conclusions Our study shows that attentional training using the dot probe task may influence the amount of attention that is given to the spatial location of threat, but not necessarily the amount of attention that is given to the semantic content of stimuli

Lying takes time : a meta-analysis on reaction time measures of deception

Lie detection techniques are frequently used, but most of them have been criticized for the lack of empirical support for their predictive validity and presumed underlying mechanisms. This situation has led to increased efforts to unravel the cognitive mechanisms underlying deception and to develop a comprehensive theory of deception. A cognitive approach to deception has reinvigorated interest in reaction time (RT) measures to differentiate lies from truths and to investigate whether lying is more cognitively demanding than truth telling. Here, we provide the results of a meta-analysis of 114 studies (n = 3307) using computerized RT paradigms to assess the cognitive cost of lying. Results revealed a large standardized RT difference, even after correction for publication bias (d = 1.049; 95% CI [0.930; 1.169]), with a large heterogeneity amongst effect sizes. Moderator analyses revealed that the RT deception effect was smaller, yet still large, in studies in which participants received instructions to avoid detection. The autobiographical Implicit Association Test produced smaller effects than the Concealed Information Test, the Sheffield Lie Test, and the Differentiation of Deception paradigm. An additional meta-analysis (17 studies, n = 348) showed that, like other deception measures, RT deception measures are susceptible to countermeasures. Whereas our meta-analysis corroborates current cognitive approaches to deception, the observed heterogeneity calls for further research on the boundary conditions of the cognitive cost of deception. RT-based measures of deception may have potential in applied settings, but countermeasures remain an important challenge

Implicit beliefs and automatic associations in smoking

BACKGROUND AND OBJECTIVES: Dual process models of addiction suggest that controlled, goal-directed processes prevent drug-use, whereas impulsive, stimulus-driven processes promote drug-use. The most frequently used measure of automatic smoking-related processes, the implicit association test (IAT), has yielded mixed results. We examine the validity of two alternative implicit measures: 1) the affect misattribution procedure (AMP), a measure of automatic evaluations, and 2) the relational responding task (RRT), a measure of implicit beliefs.METHODS: Smokers and non-smokers performed smoking-related versions of the AMP and the RRT and filled in questionnaires for smoking dependence. Smokers participated in two sessions: once after they just smoked, and once after being deprived for 10 h. Smokers also kept a smoking diary for a week after the second session.RESULTS: We found significant differences between smokers and non-smokers on the RRT, t (86) = 2.86, p = .007, d = 0.61, and on the AMP, F (1, 85) = 6.22, p = .015, pƞ 2 = 0.07. Neither the AMP nor the RRT were affected by the deprivation manipulation. Smoking dependence predicted smoking behavior in the following week; the AMP and RRT did not explain additional variance. LIMITATIONS: Possibly, our manipulation was not strong enough to affect the motivational state of participants in a way that it changed their implicit cognitions. Future research should examine the sensitivity of implicit measures to (motivational) context.CONCLUSIONS: We found limited evidence for the validity of the smoking-AMP and the smoking-RRT, highlighting the need for a critical view on implicit measures.</p

Implicit beliefs and automatic associations in smoking

BACKGROUND AND OBJECTIVES: Dual process models of addiction suggest that controlled, goal-directed processes prevent drug-use, whereas impulsive, stimulus-driven processes promote drug-use. The most frequently used measure of automatic smoking-related processes, the implicit association test (IAT), has yielded mixed results. We examine the validity of two alternative implicit measures: 1) the affect misattribution procedure (AMP), a measure of automatic evaluations, and 2) the relational responding task (RRT), a measure of implicit beliefs.METHODS: Smokers and non-smokers performed smoking-related versions of the AMP and the RRT and filled in questionnaires for smoking dependence. Smokers participated in two sessions: once after they just smoked, and once after being deprived for 10 h. Smokers also kept a smoking diary for a week after the second session.RESULTS: We found significant differences between smokers and non-smokers on the RRT, t (86) = 2.86, p = .007, d = 0.61, and on the AMP, F (1, 85) = 6.22, p = .015, pƞ 2 = 0.07. Neither the AMP nor the RRT were affected by the deprivation manipulation. Smoking dependence predicted smoking behavior in the following week; the AMP and RRT did not explain additional variance. LIMITATIONS: Possibly, our manipulation was not strong enough to affect the motivational state of participants in a way that it changed their implicit cognitions. Future research should examine the sensitivity of implicit measures to (motivational) context.CONCLUSIONS: We found limited evidence for the validity of the smoking-AMP and the smoking-RRT, highlighting the need for a critical view on implicit measures.</p

Implicit attitudes towards smoking predict long-term relapse in abstinent smokers

It has previously been argued that implicit attitudes toward substance-related cues drive addictive behavior. Nevertheless, it remains an open question whether behavioral markers of implicit attitude activation can be used to predict long-term relapse. The main objective of this study was to examine the relationship between implicit attitudes toward smoking-related cues and long-term relapse in abstaining smokers. Implicit attitudes toward smoking-related cues were assessed by means of the Implicit Association Test (IAT) and the evaluative priming task (EPT). Both measures were completed by a group of smokers who volunteered to quit smoking (patient group) and a group of nonsmokers (control group). Participants in the patient group completed these measures twice: once prior to smoking cessation and once after smoking cessation. Relapse was assessed by means of short telephone survey, 6 months after completion of the second test session. EPT scores obtained prior to smoking cessation were related to long-term relapse and correlated with self-reported nicotine dependence as well as daily cigarette consumption. In contrast, none of the behavioral outcome measures were found to correlate with the IAT scores. These findings corroborate the idea that implicit attitudes toward substance-related cues are critically involved in long-term relapse. A potential explanation for the divergent findings obtained with the IAT and EPT is provided

Implicit associations between pain and self-schema in chronic pain patients

Chronic pain often interferes with daily functioning, and may become a threat to an individual's sense of self. Despite the development of a recent theoretical account focussing upon the relationship between the presence of chronic pain and a person's self, research investigating this idea is limited. In the present study we aimed to (1) compare the strength of association between self- and pain schema in patients with chronic pain and healthy control subjects and (2) research whether the strength of association between self- and pain-schema is related to particular pain-related outcomes and individual differences of patients with chronic pain. Seventy-three patients with chronic pain (M(age) = 49.95; SD = 9.76) and 53 healthy volunteers (M(age) = 48.53; SD = 10.37) performed an Implicit Association Test (IAT) to assess the strength of association between pain- and self-schema. Patients with chronic pain also filled out self-report measures of pain severity, pain suffering, disability, depression, anxiety, acceptance, and helplessness. Results indicated that the pain- and self-schema were more strongly associated in patients with chronic pain than in healthy control subjects. Second, results indicated that, in patients with chronic pain, a stronger association between self- and pain-schema, as measured with the IAT, is related to a heightened level of pain severity, pain suffering, anxiety, and helplessness. Current findings give first support for the use of an IAT to investigate the strength of association between self- and pain-schema in patients with chronic pain and suggest that pain therapies may incorporate techniques that intervene on the level of self-pain enmeshment