109 research outputs found

    Digitalization in psychology: A bit of challenge and a byte of success

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    Digitalization affects research in almost every scientific discipline. This becomes apparent in new approaches of data analysis and management, such as machine learning, but also in new therapeutic approaches using digital and virtual technologies in patient care. Thus, digitalization can be considered a promising area in the field of evidence-based health care. However, a glance at the history of such applications reveals that the interaction between psychology and digital technologies has a long tradition. This perspective gives a brief overview on how digital technologies have emerged into psychological science in the past and what future challenges and opportunities are

    Metacognition in Auditory Distraction: How Expectations about Distractibility Influence the Irrelevant Sound Effect

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    Task-irrelevant, to-be-ignored sound disrupts serial short-term memory for visually presented items compared to a quiet control condition. We tested whether disruption by changing state irrelevant sound is modulated by expectations about the degree to which distractors would disrupt serial recall performance. The participants’ expectations were manipulated by providing the (bogus) information that the irrelevant sound would be either easy or difficult to ignore. In Experiment 1, piano melodies were used as auditory distractors. Participants who expected the degree of disruption to be low made more errors in serial recall than participants who expected the degree of disruption to be high, independent of whether distractors were present or not. Although expectation had no effect on the magnitude of disruption, participants in the easy-to-ignore group reported after the experiment that they were less disrupted by the irrelevant sound than participants in the difficult-to-ignore group. In Experiment 2, spoken texts were used as auditory distractors. Expectations about the degree of disruption did not affect serial recall performance. Moreover, the subjective and objective distraction by irrelevant speech was similar in the easy-to-ignore group and in the difficult-to-ignore group. Thus, while metacognitive beliefs about whether the auditory distractors would be easy or difficult to ignore can have an effect on task engagement and subjective distractibility ratings, they do not seem to have an effect on the actual degree to which the auditory distractors disrupt serial recall performance

    Emerging perspectives on distraction and task interruptions: metacognition, cognitive control and facilitation - part I

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    Modern technology allows for the control of learning and work environments to an unprecedented degree. Therefore, the focus of research shifts from how learning and work performance are passively affected by environmental factors to how people actively shape their own learning and work experiences. This includes task-irrelevant stimuli and task interruptions. For instance, modern headphones allow one to switch between two modes: Active noise cancelling eliminates all background sounds while acoustic transparency allows certain signals to pass through the headphones, creating a customisable audio space. Modern devices also allow us to plan certain task interruptions (for example, by email alerts) in advance. This gives users unprecedented autonomy over their learning and work environments. However, increased control does not necessarily imply that these environments are free of distraction and interruptions. In fact, quite the opposite is true: Modern-day digital learning and work environments are full of distractions and interruptions. With users’ increased control over their learning and work environments, new research questions arise that emphasise the active role of the individual in shaping their own learning and work experiences: Are people capable of distinguishing between harmful and helpful task-irrelevant stimuli and activities? Can the harmful aspects of distractions and interruptions be brought under cognitive control? Are distraction and task interruptions always harmful or are they sometimes helpful? Within this Special Issue, we primarily focus on the following emerging trends in distraction and attention

    Changing-state Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall

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    In an influential paper, Jones et al. (1995) provide evidence that auditory distraction by changing relative to repetitive auditory distracters (the changing-state effect) did not differ between a visual-verbal and visual-spatial serial recall task, providing evidence for an amodal mechanism for the representation of serial order in short-term memory that transcends modalities. This finding has been highly influential for theories of short-term memory and auditory distraction. However, evidence vis-à-vis the robustness of this result is sorely lacking. Here, two high-powered replications of Jones et al.’s (1995) crucial Experiment 4 were undertaken. In the first partial replication (n = 64), a fully within-participants design was adopted, wherein participants undertook both the visual-verbal and visual-spatial serial recall tasks under different irrelevant sound conditions, without a retention period. The second near-identical replication (n = 128), incorporated a retention period and implemented the task-modality manipulation as a between-participants factor, as per the original Jones et al. (1995; Experiment 4) study. In both experiments, the changing-state effect was observed for visual-verbal serial recall but not for visual-spatial serial recall. The results are consistent with modular and interference-based accounts of distraction and challenge some aspects of functional equivalence accounts

    Lexical access speed and the development of phonological recoding during immediate serial recall

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    A recent Registered Replication Report (RRR) of the development of verbal rehearsal during serial recall revealed that children verbalized at younger ages than previously thought, but did not identify sources of individual differences. Here, we use mediation analysis to reanalyze data from the 934 children ranging from 5 to 10 years old from the RRR for that purpose. From ages 5 to 7, the time taken for a child to label pictures (i.e. isolated naming speed) predicted the child’s spontaneous use of labels during a visually presented serial reconstruction task, despite no need for spoken responses. For 6- and 7-year-olds, isolated naming speed also predicted recall. The degree to which verbalization mediated the relation between isolated naming speed and recall changed across development. All relations dissipated by age 10. The same general pattern was observed in an exploratory analysis of delayed recall for which greater demands are placed on rehearsal for item maintenance. Overall, our findings suggest that spontaneous phonological recoding during a standard short-term memory task emerges around age 5, increases in efficiency during the early elementary school years, and is sufficiently automatic by age 10 to support immediate serial recall in most children. Moreover, the findings highlight the need to distinguish between phonological recoding and rehearsal in developmental studies of short-term memory

    Lexical access speed and the development of phonological recoding during immediate serial recall

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    A recent Registered Replication Report (RRR) of the development of verbal rehearsal during serial recall revealed that children verbalized at younger ages than previously thought, but did not identify sources of individual differences. Here, we use mediation analysis to reanalyze data from the 934 children ranging from 5 to 10 years old from the RRR for that purpose. From ages 5 to 7, the time taken for a child to label pictures (i.e. isolated naming speed) predicted the child’s spontaneous use of labels during a visually presented serial reconstruction task, despite no need for spoken responses. For 6- and 7-year-olds, isolated naming speed also predicted recall. The degree to which verbalization mediated the relation between isolated naming speed and recall changed across development. All relations dissipated by age 10. The same general pattern was observed in an exploratory analysis of delayed recall for which greater demands are placed on rehearsal for item maintenance. Overall, our findings suggest that spontaneous phonological recoding during a standard short-term memory task emerges around age 5, increases in efficiency during the early elementary school years, and is sufficiently automatic by age 10 to support immediate serial recall in most children. Moreover, the findings highlight the need to distinguish between phonological recoding and rehearsal in developmental studies of short-term memory

    We don't know what you did last summer. On the importance of transparent reporting of reaction time data pre-processing

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    In behavioral, cognitive, and social sciences, reaction time measures are an important source of information. However, analyses on reaction time data are affected by researchers' analytical choices and the order in which these choices are applied. The results of a systematic literature review, presented in this paper, revealed that the justification for and order in which analytical choices are conducted are rarely reported, leading to difficulty in reproducing results and interpreting mixed findings. To address this methodological shortcoming, we created a checklist on reporting reaction time pre-processing to make these decisions more explicit, improve transparency, and thus, promote best practices within the field. The importance of the pre-processing checklist was additionally supported by an expert consensus survey and a multiverse analysis. Consequently, we appeal for maximal transparency on all methods applied and offer a checklist to improve replicability and reproducibility of studies that use reaction time measures

    A Guide for Social Science Journal Editors on Easing into Open Science

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    Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.org) has collated several resources on embedding open science in journal editing (www.dpjedi.org/resources). However, it can be overwhelming as an editor new to open science practices to know where to start. For this reason, we created a guide for journal editors on how to get started with open science. The guide outlines steps that editors can take to implement open policies and practices within their journal, and goes through the what, why, how, and worries of each policy and practice. This manuscript introduces and summarizes the guide (full guide: https://osf.io/hstcx).<br/

    Eleven strategies for making reproducible research and open science training the norm at research institutions

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    Across disciplines, researchers increasingly recognize that open science and reproducible research practices may accelerate scientific progress by allowing others to reuse research outputs and by promoting rigorous research that is more likely to yield trustworthy results. While initiatives, training programs, and funder policies encourage researchers to adopt reproducible research and open science practices, these practices are uncommon inmanyfields. Researchers need training to integrate these practicesinto their daily work. We organized a virtual brainstorming event, in collaboration with the German Reproducibility Network, to discuss strategies for making reproducible research and open science training the norm at research institutions. Here, weoutline eleven strategies, concentrated in three areas:(1)offering training, (2)adapting research assessment criteria and program requirements, and (3) building communities. We provide a brief overview of each strategy, offer tips for implementation,and provide links to resources. Our goal is toencourage members of the research community to think creatively about the many ways they can contribute and collaborate to build communities,and make reproducible research and open sciencetraining the norm. Researchers may act in their roles as scientists, supervisors, mentors, instructors, and members of curriculum, hiring or evaluation committees. Institutionalleadership and research administration andsupport staff can accelerate progress by implementing change across their institution
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