Lifespan change in grammaticalisation as frequency-sensitive automation: William Faulkner and the let alone construction

2020 ◽  
Vol 31 (2) ◽  
pp. 339-365
Author(s):  
Jakob Neels
Keyword(s):  
Individual Differences ◽  
William Faulkner ◽  
Added Value ◽  
Feeding Cycle ◽  
Usage Patterns ◽  
Cognitive Automation ◽  
Community Data ◽  
Syntactic Context

AbstractThis paper explores the added value of studying intra- and inter-speaker variation in grammaticalisation based on idiolect corpora. It analyses the usage patterns of the English let alone construction in a self-compiled William Faulkner corpus against the backdrop of aggregated community data. Vast individual differences (early Faulkner vs. late Faulkner vs. peers) in frequencies of use are observed, and these frequency differences correlate with different degrees of grammaticalisation as measured in terms of host-class and syntactic context expansion. The corpus findings inform general issues in current cognitive-functional research, such as the from-corpus-to-cognition issue and the cause/consequence issue of frequency. They lend support to the usage-based view of grammaticalisation as a lifelong, frequency-sensitive process of cognitive automation. To substantiate this view, this paper proposes a self-feeding cycle of constructional generalisation that is driven by the interplay of frequency, entrenchment, partial sanction and habituation.

scholarly journals Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students

2018 ◽  
Author(s):  
Jeremy F. Huckins ◽  
Alex W. daSilva ◽  
Rui Wang ◽  
Weichen Wang ◽  
Elin L. Hedlund ◽  
...  
Keyword(s):  
Mental Health ◽  
Individual Differences ◽  
Antidepressant Treatment ◽  
Brain Activity ◽  
Resting State Functional Connectivity ◽  
Neuroscience Research ◽  
Affective Processes ◽  
Usage Patterns ◽  
Mobile Phone Sensing ◽  
Functional Brain Activity

AbstractAs smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying affective processes such as depression (Wang et al., 2018). In the current study, we identified a positive relationship between smartphone screen time (e.g. phone unlock duration) and resting-state functional connectivity (RSFC) between the subgenual cingulate cortex (sgCC), a brain region implicated in depression and antidepressant treatment response, and regions of the ventromedial/orbitofrontal cortex, such that increased phone usage was related to stronger connectivity between these regions. We then used this cluster to constrain subsequent analyses looking at depressive symptoms in the same cohort and observed partial replication in a separate cohort. We believe the data and analyses presented here provide relatively simplistic initial analyses which replicate and provide a first step in combining functional brain activity and smartphone usage patterns to better understand issues related to mental health. Smartphones are a prevalent part of modern life and the usage of mobile sensing data from smartphones promises to be an important tool for mental health diagnostics and neuroscience research.

Automated assessment of architectural spatial layout configurations using fuzzy logic

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Ezzeldin ◽  
Ayman Assem ◽  
Sherif Abdelmohsen
Keyword(s):  
Spatial Relations ◽  
Spatial Layout ◽  
Layout Design ◽  
Spatial Uncertainty ◽  
Added Value ◽  
Automated Assessment ◽  
Content Type ◽  
Usage Patterns ◽  
Spatial Entities

PurposeConventional approaches of evaluating spatial layout configurations typically involved universal understandings of aspects like connectivity, proximity and visibility, while possibly discarding both partially true solutions and ranges of parameters affecting detailed spatial relations. With the growing need to address spatial uncertainty and ambiguity, the incorporation of methods that embrace soft qualities in design is becoming increasingly significant in spatial layout planning.Design/methodology/approachThe authors introduce a fuzzy-based approach for the automated assessment of architectural spatial layout configurations while addressing ambiguity in layout design. The authors evaluate soft interdependent design qualities like connectedness, enclosure and spaciousness to satisfy multiple mutually inclusive criteria and account for all logical solutions without discarding likely or less likely solutions. The authors analyze spatial entities, parameters and relations and identify rulesets for logical configurations using linguistic variables, fuzzy sets, membership functions and descriptive rule blocks. As a case study, the authors use grasshopper and fuzzyTECH to represent four pilot layout alternates with varying attributes and a case study focusing on one specific spatial criterion.FindingsMultiple complex and nuanced spatial relations were inferred by evaluating spatial outputs and their inherent discrepancies and correlations, thus confirming the assumption that fuzzy-based systems could potentially satisfy multiple mutually inclusive criteria and account for exhaustive logical solutions without discarding preferable, likely or less likely solutions.Originality/valueMost precedent approaches focus on spatial layout design from an occupancy-centered perspective, where occupancy patterns and possibilities are identified in loosely defined spaces or behavioral usage patterns. The added value in this paper involves including a wide array of spatial inputs to describe soft spatial qualities using nuanced rule-based descriptors.

scholarly journals Individual Differences in Children’s (Language) Learning Skills Moderate Effects of Robot-Assisted Second Language Learning

2021 ◽  
Vol 8 ◽  
Author(s):  
Rianne van den Berghe ◽  
Ora Oudgenoeg-Paz ◽  
Josje Verhagen ◽  
Susanne Brouwer ◽  
Mirjam de Haas ◽  
...  
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Selective Attention ◽  
Language Learning ◽  
Vocabulary Knowledge ◽  
Added Value ◽  
Word Knowledge ◽  
Phonological Memory ◽  
Robot Assisted ◽  
Experimental Conditions

The current study investigated how individual differences among children affect the added value of social robots for teaching second language (L2) vocabulary to young children. Specifically, we investigated the moderating role of three individual child characteristics deemed relevant for language learning: first language (L1) vocabulary knowledge, phonological memory, and selective attention. We expected children low in these abilities to particularly benefit from being assisted by a robot in a vocabulary training. An L2 English vocabulary training intervention consisting of seven sessions was administered to 193 monolingual Dutch five-year-old children over a three- to four-week period. Children were randomly assigned to one of three experimental conditions: 1) a tablet only, 2) a tablet and a robot that used deictic (pointing) gestures (the no-iconic-gestures condition), or 3) a tablet and a robot that used both deictic and iconic gestures (i.e., gestures depicting the target word; the iconic-gestures condition). There also was a control condition in which children did not receive a vocabulary training, but played dancing games with the robot. L2 word knowledge was measured directly after the training and two to four weeks later. In these post-tests, children in the experimental conditions outperformed children in the control condition on word knowledge, but there were no differences between the three experimental conditions. Several moderation effects were found. The robot’s presence particularly benefited children with larger L1 vocabularies or poorer phonological memory, while children with smaller L1 vocabularies or better phonological memory performed better in the tablet-only condition. Children with larger L1 vocabularies and better phonological memory performed better in the no-iconic-gestures condition than in the iconic-gestures condition, while children with better selective attention performed better in the iconic-gestures condition than the no-iconic-gestures condition. Together, the results showed that the effects of the robot and its gestures differ across children, which should be taken into account when designing and evaluating robot-assisted L2 teaching interventions.

scholarly journals Using and Experiencing the Academic Library: A Multisite Observational Study of Space and Place

2015 ◽  
Vol 76 (6) ◽  
pp. 771-795 ◽  
Author(s):  
Francine May ◽  
Alice Swabey
Keyword(s):  
Community Colleges ◽  
Observational Study ◽  
Social Space ◽  
Academic Library ◽  
Space And Place ◽  
Campus Community ◽  
Technical Institute ◽  
Modern Library ◽  
Usage Patterns ◽  
Community Data

This study examines how students are using academic library spaces and the role these spaces are playing in the campus community. Data were collected on five campuses (two community colleges, two undergraduate universities, and one technical institute) via observational seating sweeps and questionnaires. The study found remarkably similar usage patterns across all library types. Academic pursuits remain the most common activities, despite perceptions of the modern library as a social space. The library as a place to study is shown to be a complex topic, with noise, need, and personal preference influencing experience. The research provides libraries with evidence to demonstrate their support of student learning and engagement within their institutions.

When Impulsive Behaviours Do Not Equal Self–Control Failures: The (Added) Value of Temptation Enactment

2020 ◽  
pp. per.2280
Author(s):  
Amir Ghoniem ◽  
Wilhelm Hofmann
Keyword(s):  
Individual Differences ◽  
Well Being ◽  
Self Control ◽  
Added Value ◽  
Personality Psychology ◽  
Total N ◽  
Self Evaluation ◽  
Impulsive Behaviour ◽  
Control Failure ◽  
Control Failures

Most work on self–control and impulsivity typically assumes, more or less tacitly, that people value self–control as more important than succumbing to temptations. According to this narrative, people regard impulsive behaviours as ‘failures’ of self–control and experience negative self–evaluations such as feelings of guilt or shame in response. Here, we direct attention to a neglected but crucial meta–behavioural valuation dimension of impulsive behaviour. We posit that individual differences in people's valuation of temptation enactment (VOTE) qualify whether and to what extent impulsive behaviours trigger negative self–evaluations and whether and to what extent people feel motivated to self–improve. Using a newly constructed VOTE scale, we first show that individual differences in VOTE can be reliably measured and clearly distinguished from traditional impulsivity or self–control scales (Studies 1–3; total N = 576). Across three subsequent studies (total N = 460), we then demonstrate that high VOTE, as compared with low VOTE, reduces the link between impulsive behaviours and negative self–conscious emotions (Studies 4 and 5), as well as between past impulsive behaviour and self–improvement motivation (Study 6). These findings have implications for the discourse on self–control failure and for the link between impulsive behaviour and self–evaluation, self–improvement motivation, and well–being. © 2020 European Association of Personality Psychology

The Design and Evaluation of the Persuasiveness of e-Learning Interfaces

2013 ◽  
Vol 1 (2) ◽  
pp. 38-47 ◽  
Author(s):  
Eric Brangier ◽  
Michel C. Desmarais
Keyword(s):  
Individual Differences ◽  
Human Computer Interaction ◽  
Design Process ◽  
Persuasive Technology ◽  
Large Individual ◽  
Usage Patterns ◽  
E Learning ◽  
Factors Of Influence ◽  
General Goal ◽  
Straightforward Approach

This study addresses the general goal of designing more engaging e-learning applications through persuasive technology. The authors present and discuss two potential approaches to the design persuasive e-learning applications that differ in terms of comprehensiveness and ease of application. The more straightforward approach based on Fogg is considered for designers who may not have the time or background to invest large efforts to analyze and understand how the principles of persuasive technology can be deployed. The Oinas-Kukkonen and Harjumaa (2009) approach is presented as a different approach that does require such investment. The design approaches are complemented with a persuasive assessment grid that can be used as an inspection instrument, akin to usability inspections as found in the field of human-computer interaction. The intent is that this instrument can complement the design process by giving early feedback on issues to address. The authors report an experiment where the inspection instrument is applied to an existing e-learning application. The actual data on how students used it provides feedback on how effective the persuasive grid is for detecting issues. The results show that the application scores low on most criteria, and the usage patterns generally confirm this assessment. However, the authors also find that some students were persuaded to engage more thoroughly to use the system and conclude that large individual differences affects the factors of influence and should lead the designers of e-learning application to consider different means in the design of persuasive technology.

The challenge of accounting for individual differences in folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Political Ideologies ◽  
Economic Beliefs ◽  
Existing Data

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.

Individual differences, social attention, and the history of the social motivation hypotheses of autism

2019 ◽  
Vol 42 ◽  
Author(s):  
Peter C. Mundy
Keyword(s):  
Individual Differences ◽  
Early Development ◽  
Emotional Development ◽  
Social Motivation ◽  
Social Attention ◽  
Social Emotional Development ◽  
Social Emotional ◽  
Precise Understanding ◽  
The Social ◽  
History Of

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

Inter-individual variation shapes the human microbiome

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Human Microbiome ◽  
Individual Variability ◽  
Microbiota Composition ◽  
Target Article ◽  
Microbiome Research

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.

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