The Role of Individual Difference in Judging Expressiveness of Computer-Assisted Music Performances by Experts

2015 ◽  
Vol 11 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Giovanni De Poli ◽  
Sergio Canazza ◽  
Antonio Rodà ◽  
Emery Schubert
Keyword(s):  
Individual Difference ◽  
Computer Assisted

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

scholarly journals Older Adults’ Adherence to Technology-Based Intervention: The Role of Messaging and Individual Differences

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Walter Boot ◽  
Nelson Roque ◽  
Erin Harrell ◽  
Neil Charness
Keyword(s):  
Older Adults ◽  
Individual Differences ◽  
Health Behaviors ◽  
Individual Difference ◽  
Cognitive Training ◽  
Self Efficacy ◽  
Message Framing ◽  
Training Intervention ◽  
Home Technology

Abstract Adherence to health behaviors is often poor, including adherence to at-home technology-based interventions. This study (N=120) explored adherence to a cognitive training intervention delivered via computer tablet, assessed adherence over a 4.5 month period, explored how individual difference factors shaped adherence, and tested the efficacy of message framing manipulations (positive vs. negative framing) in boosting adherence. Individual difference factors predicted adherence, including variations in self-efficacy and belief in the efficacy of cognitive training. Overall message framing had little impact. However, during the final portion of the study in which participants were asked to play as much or as little as they wanted instead of following a schedule, participants who received positively framed messages engaged with the intervention more. Implications for predicting and boosting adherence to home delivered technology-based interventions will be discussed.

Human rights and ethnic attitudes in Spain: The role of cognitive, social status, and individual difference factors

2004 ◽  
Vol 39 (2) ◽  
pp. 106-117 ◽  
Author(s):  
Edward Dumbar ◽  
Amalio Blanco ◽  
Megan Sullaway ◽  
Javier Horcajo
Keyword(s):  
Human Rights ◽  
Social Status ◽  
Individual Difference ◽  
Ethnic Attitudes

scholarly journals Learners’ anxiety in audiographic conferences: a discursive psychology approach to emotion talk

ReCALL ◽  
2009 ◽  
Vol 21 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Beatriz de los Arcos ◽  
James A. Coleman ◽  
Regine Hampel
Keyword(s):  
Language Learning ◽  
Methodological Approach ◽  
Psychological State ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Discursive Psychology ◽  
Social Construct ◽  
Learner Beliefs ◽  
Negative Feelings

AbstractSuccess and failure in language learning are partly determined by the learners’ ability to regulate their emotions. Negative feelings are more likely to frustrate progress, while positive ones make the task of learning a second language (L2) a more effective experience. To date no significant body of research has been carried out into the role of anxiety in the field of computer-assisted language learning (CALL). The present study adopts discursive psychology (DP) as its methodological approach to examine anxiety not as a psychological state, but as a social construct in the context of an audiographic conferencing tool. After interviewing a sample of learners of Spanish at the Open University (OU), our findings reveal a strong connection between emotion and learner beliefs.

Concern about salient pathogen threats increases sensitivity to disgust

2021 ◽  
Author(s):  
Shelby Boggs ◽  
Benjamin Ruisch ◽  
Russell Fazio
Keyword(s):  
Individual Difference ◽  
Political Ideology ◽  
Strong Support ◽  
Societal Implications ◽  
Intergroup Attitudes ◽  
Right Wing ◽  
Disgust Sensitivity ◽  
Local Ecology

Individuals vary substantially in their sensitivity to disgust—differences that have implications for intergroup attitudes, political ideology, and beyond. However, the source of this variability in disgust sensitivity remains a subject of debate. In this work, we test the hypothesis that sensitivity to disgust is "calibrated" by an individual's concern about disease threats in their local ecology. Leveraging the COVID-19 pandemic, we obtain strong support for this hypothesis, finding that disgust sensitivity increased following the COVID-19 outbreak and that the degree of this increase was moderated by an individual's subjective concern about contracting the disease. This work fills a longstanding theoretical gap regarding the sources of variability in disgust sensitivity, while challenging the view that disgust sensitivity is an immutable individual difference. Given the role of disgust in motivating intergroup prejudice and right-wing ideologies, we anticipate that these increases in disgust sensitivity are likely to have important downstream societal implications.

PUTRACER: A NOVEL METHOD FOR IDENTIFICATION OF CONTINUOUS-DOMAINS IN MULTI-DOMAIN PROTEINS

2013 ◽  
Vol 11 (01) ◽  
pp. 1340012 ◽  
Author(s):  
SEYED SHAHRIAR ARAB ◽  
MOHAMMADBAGHER PARSA GHARAMALEKI ◽  
ZAIDDODINE PASHANDI ◽  
REZVAN MOBASSERI
Keyword(s):  
Protein Structures ◽  
Three Dimensional ◽  
Accessible Surface Area ◽  
Computer Assisted ◽  
Correct Assignment ◽  
Critical Boundary ◽  
Novel Method ◽  
Accessible Surface ◽  
A Chain

Computer assisted assignment of protein domains is considered as an important issue in structural bioinformatics. The exponential increase in the number of known three dimensional protein structures and the significant role of proteins in biology, medicine and pharmacology illustrate the necessity of a reliable method to automatically detect structural domains as protein units. For this aim, we have developed a program based on the accessible surface area (ASA) and the hydrogen bonds energy in protein backbone (HBE). PUTracer (Protein Unit Tracer) is built on the features of a fast top-down approach to cut a chain into its domains (contiguous domains) with minimal change in ASA as well as HBE. Performance of the program was assessed by a comprehensive benchmark dataset of 124 protein chains, which is based on agreement among experts (e.g. CATH, SCOP) and was expanded to include structures with different types of domain combinations. Equal number of domains and at least 90% agreement in critical boundary accuracy were considered as correct assignment conditions. PUTracer assigned domains correctly in 81.45% of protein chains. Although low critical boundary accuracy in 18.55% of protein chains leads to the incorrect assignments, adjusting the scales causes to improve the performance up to 89.5%. We discuss here the success or failure of adjusting the scales with provided evidences. Availability: PUTracer is available at http://bioinf.modares.ac.ir/software/PUTracer/

scholarly journals A Neurocomputational Theory of Nightmares: The role of formal properties of nightmare images

2021 ◽  
Author(s):  
Patrick McNamara ◽  
Wesley J Wildman ◽  
George Hodulik ◽  
David Rohr
Keyword(s):  
Individual Difference ◽  
Parameter Space ◽  
Computational Models ◽  
Computational Simulation ◽  
Time Varying ◽  
Individual Difference Variables ◽  
Image Characteristics ◽  
Nightmare Disorder ◽  
Formal Properties

Abstract Study Objectives To test and extend Levin & Nielsen’s (2007) Affective Network Dysfunction (AND) model with nightmare disorder (ND) image characteristics, and then to implement the extension as a computational simulation, the Disturbed Dreaming Model (DDM). Methods We used AnyLogic V7.2 to computationally implement an extended AND model incorporating quantitative effects of image characteristics including valence, dominance, and arousal. We explored the DDM parameter space by varying parameters, running approximately one million runs, each for one month of model time, varying pathway bifurcation thresholds, image characteristics, and individual-difference variables to quantitively evaluate their combinatory effects on nightmare symptomology. Results The DDM shows that the AND model extended with pathway bifurcations and image properties is computationally coherent. Varying levels of image properties we found that when nightmare images exhibit lower dominance and arousal levels, the ND agent will choose to sleep but then has a traumatic nightmare, whereas, when images exhibit greater than average dominance and arousal levels, the nightmares trigger sleep-avoidant behavior, but lower overall nightmare distress at the price of exacerbating nightmare effects during waking hours. Conclusions Computational simulation of nightmare symptomology within the AND framework suggests that nightmare image properties significantly influence nightmare symptomology. Computational models for sleep and dream studies are powerful tools for testing quantitative effects of variables affecting nightmare symptomology and confirms the value of extending the Levin & Nielsen AND model of disturbed dreaming/ND.

scholarly journals Investigating the Role of Google Classroom as an LMS in Tertiary Level EAP Classes

BELTA Journal ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
S. M. Sanzana Rahman ◽  
Lubaba Sanjana
Keyword(s):  
Language Learning ◽  
Diffusion Of Innovations ◽  
Private University ◽  
Computer Assisted ◽  
Tertiary Level ◽  
Computer Assisted Language Learning ◽  
Academic English ◽  
Mixed Methods Approach ◽  
Attitudes And Perceptions

Using an online platform, such as Google Classroom to engage learners, is a recent practice in the field of Computer Assisted Language Learning (CALL). It can be used to engage learners to learn academic English skills at the tertiary level in Bangladesh. This paper examines adoption of Google Classroom through the lens of Rogers’ (2003) diffusion of innovations to investigate learners’ experiences, attitudes, and perceptions towards Google Classroom as a Learning Management System (LMS) to engage students to learn the four skills of English. The researchers have undertaken a mixed methods approach to collect data from 105 tertiary level students who are taking EAP courses in a private university. The findings suggest that the participants have strong positive attitude towards the use of different features of Google Classroom due to the availability of training and technological tools. This study is crucial for understanding the importance of using instructional technology (IT) in reshaping English teaching practices in Bangladesh.

scholarly journals Rhetorical Reading for Writing Strategies

2019 ◽  
pp. 1
Author(s):  
Irena Kuzborska
Keyword(s):  
Language Learning ◽  
English Language ◽  
English Language Teaching ◽  
Writing Strategies ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
The Relationship ◽  
Rhetorical Reading ◽  
Reading Texts

This article is based on the plenary talk given at the inaugural UHAMKA International Conference on English Language Teaching (ELT) and Computer Assisted Language Learning (CALL) (UICELL 2018) in Jakarta, Indonesia, 23 November 2018, and focuses on the explanation of reading as a communicative rhetorical act. Outlining the key features of such reading, it then considers the benefits of reading texts rhetorically. A specific focus is given to the role of rhetorical reading in writing. While the article acknowledges the limited research on the relationship, it provides some evidence that reading texts rhetorical can lead to both more effective reading and more effective writing. A specific technique on how to teach students to read texts rhetorically is also presented in this article.

P–100 Metabolic, hormonal, and inflammatory status in sub-fertile men with obesity and diabetes

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
S Abbasihormozi ◽  
A Kouhkan ◽  
A Shahverdi ◽  
A Parhizkar ◽  
Z Zolfaghary ◽  
...  
Keyword(s):  
Semen Analysis ◽  
Metabolic Changes ◽  
Semen Parameters ◽  
Computer Assisted ◽  
Obesity And Diabetes ◽  
Hormonal Dysfunction ◽  
Hs Crp ◽  
Type 2 Diabetic

Abstract Study question To evaluate the association between sperm functionality parameters and biochemical, hormonal, and inflammatory indices in obese and diabetic men. Summary answer Metabolic changes,hormonal dysfunction,and the presence of inflammatory mediators might be considered possible mechanisms in the development of sub-fertility in obese and diabetic sub-fertile men What is known already Although the higher prevalence of subfertility in obese and diabetic men during the reproductive age is evident, the mechanisms by which obesity and diabetes mellitus (DM) cause male infertility are not entirely understood. Several pathways might be involved in the role of obesity in semen quality, thereby inducing alterations in hormonal profiles, abnormal lipid metabolism, and possibly the formation of inflammatory cytokines, ultimately leading to impaired sperm function Study design, size, duration We enrolled normal weight (BMI<25 kg/m2) and non-type–2 diabetic (control=40), obese and non- type–2 diabetic (obese=40), non-obese and type–2 diabetic (Lean-DM=35), and obese and type–2 diabetic (Obese-DM=35) sub-fertile men, aged 20–50 years, referring to Royan infertility clinic (Tehran, Iran) from March to September 2014 Participants/materials, setting, methods After enrollment and receiving informed consent, all men underwent face-to-face private interviews. The obesity-associated markers, insulin resistance, beta-cell function, hormonal and lipid profile, inflammatory indices, and semen analysis were assessed in four experimental groups. Semen analysis was examined after 2–5 days of sexual analysis).abstinence based on WHO-recommended methods by CASA system (computer-assisted sperm Main results and the role of chance Main results and the role of chance: Our finding showed that diabetic markers were significantly increased in two diabetic groups, while obesity indices were markedly increased in two obese groups. Conventional sperm parameters were significantly lower in obese DM, lean DM, and obese groups compared with the control (p < 0.05). Serum levels of total testosterone (TT) and sex hormone-binding globulin (SHBG) were significantly lower in men with obesity and DM compared with the control (p < 0.05).There was a significant difference in the concentration of high-sensitivity C-reactive protein (hs-CRP) among four experimental groups. Moreover, serum leptin was significantly increased in obese DM, lean DM, and obese groups. Serum insulin levels had a positive correlation with metabolic-associated indices (WC, BMI, FBS,HbA1c,and HOMA-IR), as well as hs-CRP levels, whereas it had a negative correlation with count, motility, and morphology. There is also a negative association between metabolic-associated indices (WC, BMI, FBS, HbA1c, and HOMA-IR) and semen parameters. Limitations, reasons for caution It was better to evaluate inflammatory biomarkers be examined in other tissues Wider implications of the findings: The results of this study demonstrated the association of metabolic changes, hormonal dysfunction, and inflammatory responses with the semen parameters of sub-fertile men with obesity and diabete. Trial registration number Not applicable

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