What Eye Movements Reveal About Later Comprehension of Long Connected Texts

We know that reading involves coordination between textual characteristics and visual attention, but research linking eye movements during reading and comprehension assessed after reading is surprisingly limited, especially for reading long connected texts. We tested two competing possibilities: (a) the weak association hypothesis: Links between eye movements and comprehension are weak and short-lived, versus (b) the strong association hypothesis: The two are robustly linked, even after a delay. Using a predictive modeling approach, we trained regression models to predict comprehension scores from global eye movement features, using participant-level cross-validation to ensure that the models generalize across participants. We used data from three studies in which readers (Ns = 104, 130, 147) answered multiple-choice comprehension questions ~30 min after reading a 6,500-word text, or after reading up to eight 1,000-word texts. The models generated accurate predictions of participants' text comprehension scores (correlations between observed and predicted comprehension: 0.384, 0.362, 0.372, ps < .001), in line with the strong association hypothesis. We found that making more, but shorter fixations, consistently predicted comprehension across all studies. Furthermore, models trained on one study's data could successfully predict comprehension on the others, suggesting generalizability across studies. Collectively, these findings suggest that there is a robust link between eye movements and subsequent comprehension of a long connected text, thereby connecting theories of low-level eye movements with those of higher order text processing during reading.     

Functional integration and the mind

Different cognitive functions recruit a number of different, often overlapping, areas of the brain. Theories in cognitive and computational neuroscience are beginning to take this kind of functional integration into account. The contributions to this special issue consider what functional integration tells us about various aspects of the mind such as perception, language, volition, agency, and reward. Here, I consider how and why functional integration may matter for the mind; I discuss a general theoretical framework, based on generative models, that may unify many of the debates surrounding functional integration and the mind; and I briefly introduce each of the contributions.     

Varieties of cognitive penetration in visual perception

Is our perceptual experience a veridical representation of the world or is it a product of our beliefs and past experiences? Cognitive penetration describes the influence of higher level cognitive factors on perceptual experience and has been a debated topic in philosophy of mind and cognitive science. Here, we focus on visual perception, particularly early vision, and how it is affected by contextual expectations and memorized cognitive contents. We argue for cognitive penetration based on recent empirical evidence demonstrating contextual and top-down influences on early visual processes. On the basis of a perceptual model, we propose different types of cognitive penetration depending on the processing level on which the penetration happens and depending on where the penetrating influence comes from. Our proposal has two consequences: (1) the traditional controversy on whether cognitive penetration occurs or not is ill posed, and (2) a clear-cut perception–cognition boundary cannot be maintained.     

Prediction and unconscious attention operate synergistically to facilitate stimulus processing: An fMRI study

There is considerable evidence that prediction and attention aid perception. However, little is known about the possible neural mechanisms underlying the impact of prediction and unconscious attention on perception, probably due to the relative neglect of unconscious attention in scholarly literature. Here, we addressed this issue using functional magnetic resonance imaging (fMRI). We adopted a variant of the double-cue paradigm, in which prediction and attention were factorially manipulated by two separate cues (prediction and attention cues). To manipulate consciousness, the attention cues were presented subliminally and supraliminally. Behaviorally, we reported an unconscious-attended effect in the predictable trials and a conscious-attended effect in the unpredictable trials. On the neural level, it was shown that prediction and unconscious attention interacted in the left dorsolateral prefrontal cortex (dlPFC). More specifically, there was a significantly decreased activation in dlPFC for predictable relative to unpredictable stimuli in the unconscious-attended trials, but not in the unconscious-unattended trials. This result suggests that prediction and unconscious attention operate synergistically to facilitate stimulus processing. This is further corroborated by the subsequent functional connectivity analysis, which revealed increased functional connectivity between the left dlPFC and the premotor cortex for predictable versus unpredictable stimuli in the unconscious-attended trials.     

Intelligence artificielle et médecine : quelles règles éthiques et juridiques pour une IA responsable ?

Combining AI and medicine means talking about the medicine of the future, but even more about improving the quality of care. Its fields of application: predictive medicine, precision medicine, decision support, prevention, computer-assisted surgery, robotic support for the elderly, etc. are all related concerns: the possibility of maintaining human contact with the patient, the explicability of the algorithm - the collection of health data - and the improvement of the health care system. AI applications are already improving the quality of care. Its deployment at the heart of the medicine of the future is in constant evolution. To be acceptable and legitimate, the decisions of any algorithm must be understood and therefore explained. Only a good understanding of the diagnoses and therapies proposed by the AI application will allow doctors to discuss with their patients and to explain the possible alternatives. In the opposite case, the doctor risks to dismiss the use of algorithms because he will not be able to justify the decisions which will pose problems in terms of liability research in particular.     

Athletes’ ease of imaging predicts their imagery and observational learning use

Objectives

Following the development of the Sport Imagery Ability Questionnaire (SIAQ; Williams & Cumming, 2011), the aim of the present two studies was to more comprehensively examine the relationship between sport-related imagery ability and the functions of imagery and observational learning (OL) athletes report. A second aim was to establish the SIAQ’s predictive validity.

Design

Two samples of cross-sectional questionnaire data are presented in two studies.

Method

For both studies, athletes were recruited from a variety of team and individual sports, ranging in competitive level and years of experience. In Study 1, 117 participants (41 male and 76 female) with a mean age of 24.38 (SD = 9.46) completed the SIAQ and the Sport Imagery Questionnaire (SIQ; Hall, Mack, Paivio, & Hausenblas, 1998). In Study 2, 221 participants (83 male and 138 female) with a mean age of 22.34 (SD = 7.66) completed the SIAQ and the Functions of Observational Learning Questionnaire (FOLQ; Cumming, Clark, Ste-Marie, McCullagh, & Hall, 2005).

Results

Athletes’ imagery ability significantly predicted their imagery and OL use. Moreover, with the exception of performance OL, predictions were stronger when the type of imagery ability closely matched the function of imagery or OL being predicted.

Conclusions

As well as demonstrating the predictive validity of the SIAQ, results from both studies support the need to use imagery ability measures that most closely match the type of imagery or OL being used.     

Contingency learning and stereotype formation: Illusory and spurious correlations revisited

The ability of implicit measures to predict behaviour varies greatly across studies, emphasising the need for accounts of this variability. In order to organise and review the literature on moderators that influence individuals' information processing, we suggest a classification system of moderators with two dimensions. One dimension distinguishes moderators according to their influence on the opportunity to control, the motivation to control, or the reliance on either automatic or controlled processes without changes in opportunity or motivation. The second dimension classifies moderators according to whether they pertain to a disposition of the acting person, the situation in which the behaviour occurs, or the behaviour itself. Increased predictive validity of implicit measures is associated with conditions that foster the impact of automatic processes on behaviour determination. In the discussion we derive several additional moderators from the classification system, delineate emerging research questions, and discuss implications of the reviewed studies for research on self-regulation.     

Development of social perception: a conversation study of 6-, 12- and 36-month-old children

A conversation is made up of visual and auditory signals in a complex flow of events. What is the relative importance of these components for young children's ability to maintain attention on a conversation? In the present set of experiments the visual and auditory signals were disentangled in four filmed events. The visual events were either accompanied by the speech sounds of the conversation or by matched motor sounds and the auditory events by either the natural visual turn taking of the conversation or a matched turn taking of toy trucks. A cornea-reflection technique was used to record the gaze-pattern of subjects while they were looking at the films. Three age groups of typically developing children were studied; 6-month-olds, 1-year-olds and 3-year-olds. The results show that the children are more attracted by the social component of the conversation independent of the kind of sound used. Older children find spoken language more interesting than motor sound. Children look longer at the speaking agent when humans maintain the conversation. The study revealed that children are more attracted to the mouth than to the eyes area. The ability to make more predictive gaze shifts develops gradually over age.     

Application of improved BP neural network based on e-commerce supply chain network data in the forecast of aquatic product export volume

Aiming at the existing problems in the production and export scale prediction of aquaculture, a model of yield prediction based on BP Neural network algorithm is proposed, and a set of algorithms is proposed to optimize BP neural network (BPNN). Based on the traditional BP neural network, it is easy to get into the local optimal problem due to the long training time of the model. By using the simple Johnson algorithm, the dimensionality of the input neuron is reduced, and then the hidden layer neural network is determined by this method. At the same time, the data mining method is used to filter the Data.Particle swarm optimization algorithm is used to optimize the parameters. At the same time, based on the domestic e-commerce Sales network data, the results show that the average square root error of the model is less than the traditional BP neural network and the learning efficiency is higher than the traditional BP neural network. The results show that the model has a great advantage in building up a large number of historical data, and it can shorten the modeling time and get good prediction result by combining the sales data of e-commerce. It provides a new feasible method for the export prediction of aquatic products.     

Screening for eating disorders in primary care: EDE-Q versus SCOFF

OBJECTIVE AND METHODS: The comparative validity of the Eating Disorder Examination Questionnaire (EDE-Q) (22 items) and SCOFF (five items) in screening for cases of the more commonly occurring eating disorders was examined in a primary care sample of young adult women (n=257). Diagnoses were confirmed in a sub-group of interviewed participants (n=147). RESULTS: Twenty-five cases, primarily variants of bulimia nervosa (BN) not meeting formal diagnostic criteria, were identified in the interviewed sample. An EDE-Q global score of >or= 2.80 yielded the optimal trade-off between sensitivity (Se) (0.80) and specificity (Sp) (0.80) (positive predictive value (PPV)=0.44), whereas a score of two or more positive responses on the SCOFF was optimal (Se=0.72, Sp=0.73, PPV=0.35). Validity coefficients for both measures varied as a function of participants' age and body weight, although these effects were more pronounced for the SCOFF. CONCLUSIONS: Both measures performed well in terms of their ability to detect cases and to exclude non-cases of the more commonly occurring eating disorders in a primary care setting. The EDE-Q performed somewhat better than the SCOFF and was more robust to effects on validity of age and weight. These findings need to be weighed against the advantage of the SCOFF in terms of its brevity.