Mind wandering is a ubiquitous phenomenon in which attention shifts from task-related to task-unrelated thoughts. The last decade has witnessed an explosion of interest in mind wandering, but research has been stymied by a lack of objective measures, leading to a near-exclusive reliance on self-reports. We addressed this issue by developing an eye-gaze-based, machine-learned model of mind wandering during computerized reading. Data were collected in a study in which 132 participants reported self-caught mind wandering while reading excerpts from a book on a computer screen. A remote Tobii TX300 or T60 eyetracker recorded their gaze during reading. The data were used to train supervised classification models to discriminate between mind wandering and normal reading in a manner that would generalize to new participants. We found that at the point of maximal agreement between the model-based and self-reported mind-wandering means (smallest difference between the group-level means: M model = .310, M self = .319), the participant-level mind-wandering proportional distributions were similar and were significantly correlated (r = .400). The model-based estimates were internally consistent (r = .751) and predicted text comprehension more strongly than did self-reported mind wandering (rmodel = −.374, r self = −.208). Our results also indicate that a robust strategy of probabilistically predicting mind wandering in cases with poor or missing gaze data led to improved performance on all metrics, as compared to simply discarding these data. Our findings demonstrate that an automated objective measure might be available for laboratory studies of mind wandering during reading, providing an appealing alternative or complement to self-reports.Keywords Mind wandering . Reading . Eye gaze . Machine learning It is common for one's attention to shift toward spontaneously generated, task-unrelated thoughts. This phenomenon is called mind wandering. Numerous studies have investigated mind wandering across a range of tasks and have found that it occurs anywhere between 20%-50% of the time (Kane et al.,

Physiological limitations on the visual system require gaze to move from location to location to extract the most relevant information within a scene. Therefore, gaze provides a real-time index of the information-processing priorities of the visual system. We investigated gaze allocation during mind wandering (MW), a state where cognitive priorities shift from processing task-relevant external stimuli (i.e., the visual world) to task-irrelevant internal thoughts. In both a main study and a replication, we recorded the eye movements of college-aged adults who studied images of urban scenes and responded to pseudorandom thought probes on whether they were mind wandering or attentively viewing at the time of the probe. Probe-caught MW was associated with fewer and longer fixations, greater fixation dispersion, and more frequent eyeblinks (only observed in the main study) relative to periods of attentive scene viewing. These findings demonstrate that gaze indices typically considered to represent greater engagement with scene processing (e.g., longer fixations) can also indicate MW. In this way, the current work exhibits a need for empirical investigations and computational models of gaze control to account for MW for a more accurate representation of the moment-to-moment information-processing priorities of the visual system. (PsycINFO Database Record

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When remembering an event, not only do we recollect what happened, when and where it happened, but also how it unfolded over time. What aspects of events are encoded in memory to support this recollection? This question is central for understanding the nature of event memories and our reconstruction of the time passed. In this article, we investigate how the spontaneous encoding of unfamiliar animations during learning influences the recollection of how these animations unfold. Specifically, we examine two structural properties of dynamic event sequences known to modulate the amount of information encoded in memory: the perceived number of sub-events and their perceived similarity. We found that despite clock duration remaining constant, more sub-events and less similar ones led to longer recognition memory latencies, duration judgments and mental event replaying. In particular, across stimulus animations, both the perceived number of sub-events and their degree of similarity contributed to the prediction of duration judgments and the length of mental event reproductions. Results indicate that the number and nature of sub-events in a sequence modulate how we reconstruct its duration and temporal unfolding, thus suggesting that these event properties, which mediate the amount of information encoded for an event, modulate the subsequent recollection of its temporal unfolding.

Learners of most languages are faced with the task of acquiring words to talk about number and quantity. Much is known about the order of acquisition of number words as well as the cognitive and perceptual systems and cultural practices that shape it. Substantially less is known about the acquisition of quantifiers. Here, we consider the extent to which systems and practices that support number word acquisition can be applied to quantifier acquisition and conclude that the two domains are largely distinct in this respect. Consequently, we hypothesize that the acquisition of quantifiers is constrained by a set of factors related to each quantifier's specific meaning. We investigate competence with the expressions for "all," "none," "some," "some…not," and "most" in 31 languages, representing 11 language types, by testing 768 5-y-old children and 536 adults. We found a cross-linguistically similar order of acquisition of quantifiers, explicable in terms of four factors relating to their meaning and use. In addition, exploratory analyses reveal that languageand learner-specific factors, such as negative concord and gender, are significant predictors of variation.language acquisition | universals | quantifiers | semantics | pragmatics N umber words and quantifiers are abstract words that denote properties of sets rather than individuals. Twoness and allness in "two/all of the black cats in the street" are not true of any individual cat, whereas blackness and catness are. Children display knowledge of number words and quantifiers around their second birthday, comparatively long after they have acquired concrete nouns (1, 2). As far as number words are concerned, a range of cognitive and perceptual systems supports their acquisition.These systems include an object-tracking system, which enables the precise representation of small quantities, and an analog magnitude system, which enables imprecise and approximate comparisons (1), SignificanceAlthough much research has been devoted to the acquisition of number words, relatively little is known about the acquisition of other expressions of quantity. We propose that the order of acquisition of quantifiers is related to features inherent to the meaning of each term. Four specific dimensions of the meaning and use of quantifiers are found to capture robust similarities in the order of acquisition of quantifiers in similar ways across 31 languages, representing 11 language types.