1,720,982 research outputs found
Repeated exposure to exemplars does not enhance implicit learning: A puzzle for models of learning and memory
We learn regularities in the world around us, frequently without conscious effort, a phenomenon known as implicit learning. These regularities are often impossible to verbalise. One example of implicit learning is the structural effect, in which participants learn a rule set combining two factors, such as lexical frequency and concreteness. Theories of implicit learning predict that repetition of exemplar words would result in improved learning of the rule set, increasing the magnitude of the structural effect. Over four experiments, we demonstrate that this is, in fact, not the case. In Experiments 1 and 2, three repetitions of exemplar words result in superior item memory, but no change in the magnitude of the structural effect, compared with individually presented words. In Experiments 3 and 4, the structural effect is shown to be invariant to five repetitions of exemplar words and at high and low numbers of exemplars. In all four experiments, participants were unable to describe the rule set underlying the structural effect. However, confidence ratings demonstrated sensitivity to the structure and this sensitivity, unlike endorsements, increased with strength. The results are discussed in reference to differentiation, structural versus judgement knowledge, and flexible learning systems
Bridging the gap between learning and memory
This thesis uses a fusion of recognition memory and implicit learning methods to investigate performance based on implicit learning. A series of experiments exposed participants to a study list composed of natural words that conform to a conjunctive rule-set involving the frequency and the concreteness of the words. Participants were asked either to identify words seen on the study list or to identify rule-consistent words. Across a variety of learning conditions signal-detection analyses revealed that participants used both the episodic status of the words (the episodic effect) and the structural status of the word (the structural effect) in making their decisions. Questionnaires indicated that participants could not verbalise the conjunctive rule-set. Increasing the number of repetitions of each word on the study list increased the magnitude of the episodic effect but not that of the structural effect. In addition, a classic strength-based mirror effect was found in which endorsements to words on the study list increased with repetitions but endorsements to both new rule-consistent and new rule-inconsistent words decreased. Discussion of recognition-memory models and a set of MINERVA simulations demonstrated that current recognition memory models cannot account for these results. Implicit learning theories also struggle to account for the invariance of the structural effect to repetitions. It is concluded that familiarity underlies both the structural effect and a portion of the episodic effect, but that the precursors of familiarity are different in each case with structural familiarity being insensitive to repetitions and episodic familiarity being sensitive to repetitions. Implications for recognition and implicit learning theories are discusse
Can you trust what you hear? Concurrent misinformation affects recall memory and judgments of guilt.
In most misinformation studies, participants are exposed to a to-be-remembered event, and then subsequently given misinformation in textual form. This misinformation impacts on people’s ability to accurately report the initial event. In this paper, we present two experiments that explored a different approach to presenting misinformation. In the context of a murder suspect, the to-be-remembered event was audio of a police interview, whilst the misinformation was co-presented as subtitles with some words being different to, and more incriminating than, those that were actually said. We refer to this as concurrent misinformation. In Experiment 1, concurrent misinformation was inappropriately reported in a cued-recall test, and inflated participants’ ratings of how incriminating the audio was. Experiment 2 attempted to employ warnings to mitigate the influence of concurrent misinformation. Warnings after the to-be-remembered event had no effect, whilst warnings before the event reduced the effect of concurrent misinformation for a sub-set of participants. Participants that noticed the discrepancy between the audio and the sub-titles were also less likely to judge the audio as incriminating. These results were considered in relation to existing theories underlying the misinformation effect, as well as the implication for the use of audio and text in applied contexts
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
A sound effect: Exploration of the distinctiveness advantage in voice recognition
Two experiments are presented which explore the presence of a distinctiveness advantage when recognising unfamiliar voices. In Experiment 1, distinctive voices were recognised significantly better, and with greater confidence, in a sequential same/different matching task compared to typical voices. These effects were replicated and extended in Experiment 2 as distinctive voices were recognised better even under challenging listening conditions imposed by nonsense sentences and temporal reversal. Taken together, the results aligned well with similar results when processing faces, and provided a useful point of comparison between voice and face processing
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