Temporal order judgment reveals how number magnitude affects visuospatial attention

The existence of spatial components in the mental representation of number magnitude has raised the question regarding the relation between numbers and spatial attention. We present six experiments in which this relation was examined using a temporal order judgment task to index attentional allocation. Results demonstrate that one important consequence of numerical processing is the automatic allocation of spatial attention, which in turn affects the perception of the temporal order of visual events. Given equal onset time, left-side stimuli are perceived to occur before right-side stimuli when a small number (1, 2) is processed, whereas right-side stimuli are perceived to occur before left-side stimuli when a larger number (8, 9) is processed. In addition, we show that this attentional effect is specific to quantity processing and does not generalize to non-numerical ordinal sequences.     

The simplicity of politicians' personalities across political context: An anomalous replication

Modern politics is becoming increasingly personalized. The personal qualities of political candidates, in fact, account for a considerable amount of the variance in the candidate preference of voters, often more than the political issues in their electoral programs. Despite the emphasis that both the media and campaign leaders place on the ways in which the personalities of politicians are portrayed, people tend to view the personalities of politicians in remarkably simple ways. Here we show that, although people tend to use five personality dimensions to characterize their own personalities, they rely upon only two dimensions to characterize the personalities of politicians. This finding holds across countries (i.e., Italy and the US), and across political figures (i.e., Prodi and Berlusconi in Italy, and Bush and Kerry in the US). The two factors obtained from evaluations of Prodi, Berlusconi, and Kerry were respectively a blend of Energy/Extraversion and Openness and a blend of Friendliness, Conscientiousness, and Emotional Stability. The two factors obtained from evaluations of the US president, though, were respectively a blend of Openness, Conscientiousness, and Friendliness, and a blend of Energy/Extraversion, Emotional Stability, and Friendliness. Thus, the present study is novel in suggesting that while the personalities of politicians may be reduced by voters, they are not always reduced to the same basic factors. Alternative explanations of this “simplification effect” are discussed.     

The IAT as a predictor of food choice: The case of fruits versus snacks

One of the issues concerning the application of implicit measures like the IAT is whether they can be successfully applied to consumer choices. The empirical evidence of the predictive validity of the IAT so far has been mixed, both at the level of eating habits and of specific behavioural food choices. Moreover, whereas the predictive validity of the IAT has been tested in a number of studies, its incremental validity has not been studied as thoroughly. In this contribution, four studies, run at different points in time and analysed as a single sample (N = 399), tested the predictive and incremental validity of an IAT of attitudes towards fruits versus snacks on the choice of a fruit or a snack at the end of the experimental session. Specifically, an additive pattern in which both implicit and explicit measures predict independently, and an interactive one in which implicit and explicit measures predict interactively, were tested for the prediction of the behavioural preference towards snacks or fruits. The results showed that the IAT has both predictive and incremental validity, over and above the significant prediction provided by explicit measures for behavioural food choice. Furthermore, no interaction effect between implicit and explicit measures in the behavioural prediction was obtained, supporting the additive rather than the interactive pattern. Finally, only the explicit attitude towards snacks predicted behavioural choice whereas the explicit attitude towards fruits did not. This result indirectly suggests that a single target IAT might be fruitfully adopted in future research.     

The effects of bilateral presentations on lateralized lexical decision

We investigated how lateralized lexical decision is affected by the presence of distractors in the visual hemifield contralateral to the target. The study had three goals: first, to determine how the presence of a distractor (either a word or a pseudoword) affects visual field differences in the processing of the target; second, to identify the stage of the process in which the distractor is affecting the decision about the target; and third, to determine whether the interaction between the lexicality of the target and the lexicality of the distractor ("lexical redundancy effect") is due to facilitation or inhibition of lexical processing. Unilateral and bilateral trials were presented in separate blocks. Target stimuli were always underlined. Regarding our first goal, we found that bilateral presentations (a) increased the effect of visual hemifield of presentation (right visual field advantage) for words by slowing down the processing of word targets presented to the left visual field, and (b) produced an interaction between visual hemifield of presentation (VF) and target lexicality (TLex), which implies the use of different strategies by the two hemispheres in lexical processing. For our second goal of determining the processing stage that is affected by the distractor, we introduced a third condition in which targets were always accompanied by "perceptual" distractors consisting of sequences of the letter "x" (e.g., xxxx). Performance on these trials indicated that most of the interaction occurs during lexical access (after basic perceptual analysis but before response programming). Finally, a comparison between performance patterns on the trials containing perceptual and lexical distractors indicated that the lexical redundancy effect is mainly due to inhibition of word processing by pseudoword distractors.     

The self and social cognition: the role of cortical midline structures and mirror neurons

Recent evidence suggests that there are at least two large-scale neural networks that represent the self and others. Whereas frontoparietal mirror-neuron areas provide the basis for bridging the gap between the physical self and others through motor-simulation mechanisms, cortical midline structures engage in processing information about the self and others in more abstract, evaluative terms. This framework provides a basis for reconciling findings from two separate but related lines of research: self-related processing and social cognition. The neural systems of midline structures and mirror neurons show that self and other are two sides of the same coin, whether their physical interactions or their most internal mental processes are examined.     

Multimodal action representation in human left ventral premotor cortex

We used functional magnetic resonance imaging (fMRI) to investigate the neural systems responding to the sight and to the sound of an action. Subjects saw a video of paper tearing in silence (V), heard the sound of paper tearing (A), and saw and heard the action simultaneously (A + V). Compared to a non-action control stimulus, we found that hearing action sounds (A) activated the anterior inferior frontal gyrus and middle frontal gyrus in addition to primary auditory cortex. The anterior inferior frontal gyrus, which is known to be activated by environmental sounds, also seems to be involved in recognizing actions by sound. Consistent with previous research, seeing an action video (V) compared with seeing a non-action video activated the premotor cortex, intraparietal cortex, and the pars opercularis of the inferior frontal gyrus. An A + V facilitation effect was found in the ventral premotor cortex on the border of areas 44, 6, 3a, and 3b for the action stimuli but not for the control stimuli. This region may be involved in integrating multimodal information about actions. These data provide evidence that the ventral premotor cortex may provide an action representation that abstracts across both agency (self and other) and sensory modality (hearing and seeing). This function may be an important precursor of language functions.     

An ontological test of the IAT: Self-activation can increase predictive validity

Extensive research has been conducted demonstrating the predictive validity and reliability of the Implicit Association Test (IAT) for a broad array of behaviors and contexts. However, less work has been done examining its underlying construct validity. This contribution focuses on examining whether a core theoretical foundation of the IAT paradigm is valid, specifically, whether the IAT effect draws on the social knowledge structure (SKS). We present four studies within different domains that show that the IAT does indeed appear to draw on the SKS. The data show that activation of the self before the categorization task enhances the predictive validity of the IAT, as one would expect if the IAT reflects the SKS. We discuss theoretical reasons for these findings, with emphasis also on underlying statistical/psychometric issues.     

Exploring classical conditioning for strengthening the links between semantic and lexical representations in pure anomia: Preliminary findings from a single case study

The same language symptom might arise at different functional loci in people with aphasia. Therefore, it is plausible that different therapeutic interventions should be adopted to approach the same difficulties in different patients. Although this point of view is still widely accepted, recently the focus has shifted from the functional locus of a rehabilitative intervention to the mechanisms of action underlying the relearning process. We maintain that both aspects should be taken into account when programming a rehabilitative intervention; furthermore, investigating relearning mechanisms might shed new light on the functional architecture of the disrupted processes. Here, we investigated, in a single case study, whether classical conditioning was a suitable relearning paradigm for targeting word‐finding difficulties in pure anomia, that is in a patient with an impairment in accessing intact output lexical representations from a spared semantic system. Using a word‐repetition task on picture presentation, we contrasted a condition in which the stimulus onset asynchrony between word and picture stimuli was well suited to produce classical conditioning with a condition in which repetition training could not benefit from this learning mechanism. Only classical conditioning training exerted a significant, long‐lasting effect on our patient's naming skill. Tentative implications of our results for the functional architecture of single‐word processing are discussed.     

Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition

Corpus‐based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are currently the best frequency‐based estimators of lexical decision reaction times (up to 3.6% increase in explained variance). The results are robust (observed for Twitter‐ and Facebook‐based frequencies on American English and British English datasets) and are still substantial when we control for corpus size.     

Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces

Sophisticated senator and legislative onion. Whether or not you have ever heard of these things, we all have some intuition that one of them makes much less sense than the other. In this paper, we introduce a large dataset of human judgments about novel adjective‐noun phrases. We use these data to test an approach to semantic deviance based on phrase representations derived with compositional distributional semantic methods, that is, methods that derive word meanings from contextual information, and approximate phrase meanings by combining word meanings. We present several simple measures extracted from distributional representations of words and phrases, and we show that they have a significant impact on predicting the acceptability of novel adjective‐noun phrases even when a number of alternative measures classically employed in studies of compound processing and bigram plausibility are taken into account. Our results show that the extent to which an attributive adjective alters the distributional representation of the noun is the most significant factor in modeling the distinction between acceptable and deviant phrases. Our study extends current applications of compositional distributional semantic methods to linguistically and cognitively interesting problems, and it offers a new, quantitatively precise approach to the challenge of predicting when humans will find novel linguistic expressions acceptable and when they will not.