Objective: Increasingly, people work in socially networked environments. With growing adoption of enterprise social network technologies, supporting effective social community is becoming an important factor in organizational success.
Background: Relatively few human factors methods have been applied to social connection in communities. Although team methods provide a contribution, they do not suit design for communities. Wenger's community of practice concept, combined with cognitive work analysis, provided one way of designing for community.
Method: We used a cognitive work analysis approach modified with principles for supporting communities of practice to generate a new website design. Over several months, the community using the site was studied to examine their degree of social connectedness and communication levels.
Results: Social network analysis and communications analysis, conducted at three different intervals, showed increases in connections between people and between people and organizations, as well as increased communication following the launch of the new design.
Conclusion: In this work, we suggest that human factors approaches can be effective in social environments, when applied considering social community principles.
Application: This work has implications for the development of new human factors methods as well as the design of interfaces for sociotechnical systems that have community building requirements.
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http://dx.doi.org/10.1177/0018720813494410 | DOI Listing |
Psychol Res Behav Manag
December 2024
Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, People's Republic of China.
Purpose: A considerable body of evidence indicated that interpersonal relationships were significantly associated with short-form video addiction (SFVA) among adolescents, but how they are related on a symptom level at different ages remains unclear. This study aimed to explore the central symptoms of SFVA and distinct associations between three primary interpersonal relationships (ie, teacher-student relationships, parent-child relationships, peer relationships) and SFVA symptoms in early and middle adolescence.
Participants And Methods: After completing scales of SFVA, teacher-student relationship, parent-child relationship and peer relationship in 2022, a sample of 1579 fourth-grade students (age range: 10-12; = 10.
Netw Neurosci
December 2024
Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, VIC, Australia.
Connectome generative models, otherwise known as generative network models, provide insight into the wiring principles underpinning brain network organization. While these models can approximate numerous statistical properties of empirical networks, they typically fail to explicitly characterize an important contributor to brain organization-axonal growth. Emulating the chemoaffinity-guided axonal growth, we provide a novel generative model in which axons dynamically steer the direction of propagation based on distance-dependent chemoattractive forces acting on their growth cones.
View Article and Find Full Text PDFNetw Neurosci
December 2024
McLean Imaging Center, McLean Hospital, Harvard Medical School, Belmont, MA, USA.
The atypical static brain functions related to the executive control network (ECN), default mode network (DMN), and salience network (SN) in people with autism spectrum disorder (ASD) has been widely reported. However, their transient functions in ASD are not clear. We aim to identify transient network states (TNSs) using coactivation pattern (CAP) analysis to characterize the age-related atypical transient functions in ASD.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Objective: Sleep disorders are common in Alzheimer's disease (AD) patients and can impair the glymphatic system, leading to cognitive decline. This study aimed to investigate whether AD patients with sleep disorders exhibit worse glymphatic function and more severe cognitive impairment compared to those without sleep disorders and to explore the underlying molecular imaging mechanisms.
Methods: This study included 40 AD patients with sleep disorders (ADSD), 39 cognitively matched AD patients without sleep disorders (ADNSD), and 25 healthy middle-aged and elderly controls (NC).
Aging Brain
November 2024
School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia.
Sleep discrepancy (negative discrepancy reflects worse self-reported sleep than objective measures, such as actigraphy, and positive discrepancy the opposite) has been linked to adverse health outcomes. This study is first to investigate the relationship between sleep discrepancy and brain glucose metabolism (assessed globally and regionally via positron emission tomography), and to evaluate the contribution of insomnia severity and depressive symptoms to any associations. Using data from cognitively unimpaired community-dwelling older adults ( = 68), cluster analysis was used to characterise sleep discrepancy (for total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE)), and logistic regression was used to explore sleep discrepancy's associations with brain glucose metabolism, while controlling for insomnia severity and depressive symptoms.
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