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1,522
result(s) for
"Application software Social aspects."
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The Imaginary App
by
DJ Spooky That Subliminal Kid
,
Matviyenko, Svitlana
in
Application software
,
Application software -- Social aspects
,
Art & Art History
2014
Mobile apps promise to deliver (h)appiness to our devices at the touch of a finger or two. Apps offer gratifyingly immediate access to connection and entertainment. The array of apps downloadable from the app store may come from the cloud, but they attach themselves firmly to our individual movement from location to location on earth. InThe Imaginary App,writers, theorists, and artists--including Stephen Wolfram (in conversation with Paul Miller) and Lev Manovich--explore the cultural and technological shifts that have accompanied the emergence of the mobile app. These contributors and interviewees see apps variously as \"a machine of transcendence,\" \"a hulking wound in our nervous system,\" or \"a promise of new possibilities.\" They ask whether the app is an object or a relation, and if it could be a \"metamedium\" that supersedes all other artistic media. They consider the control and power exercised by software architecture; the app's prosthetic ability to enhance certain human capacities, in reality or in imagination; the app economy, and the divergent possibilities it offers of making a living or making a fortune; and the app as medium and remediator of reality.Also included (and documented in color) are selected projects by artists asked to design truly imaginary apps, \"icons of the impossible.\" These include a female sexual arousal graph using Doppler images; \"The Ultimate App,\" which accepts a payment and then closes, without providing information or functionality; and \"iLuck,\" which uses GPS technology and four-leaf-clover icons to mark places where luck might be found.ContributorsChristian Ulrik Andersen, Thierry Bardini, Nandita Biswas Mellamphy, Benjamin H. Bratton, Drew S. Burk, Patricia Ticineto Clough, Robbie Cormier, Dock Currie, Dal Yong Jin, Nick Dyer-Witheford, Ryan and Hays Holladay, Atle Mikkola Kjøsen, Eric Kluitenberg, Lev Manovich, Vincent Manzerolle, Svitlana Matviyenko, Dan Mellamphy, Paul D. Miller aka DJ Spooky That Subliminal Kid, Steven Millward, Anna Munster, Søren Bro Pold, Chris Richards, Scott Snibbe, Nick Srnicek, Stephen Wolfram
Don’t put all social network sites in one basket: Facebook, Instagram, Twitter, TikTok, and their relations with well-being during the COVID-19 pandemic
by
Bouchat, Pierre
,
Rimé, Bernard
,
Masciantonio, Alexandra
in
Adult
,
Biology and Life Sciences
,
Computer and Information Sciences
2021
Prior studies indicated that actively using social network sites (SNSs) is positively associated with well-being by enhancing social support and feelings of connectedness. Conversely, passively using SNSs is negatively associated with well-being by fostering upward social comparison and envy. However, the majority of these studies has focused on Facebook. The present research examined the relationships between well-being—satisfaction with life, negative affect, positive affect—and using actively or passively various SNSs—Facebook, Instagram, Twitter, TikTok—during the COVID-19 pandemic. In addition, two mediators were tested: social support and upward social comparison. One thousand four persons completed an online survey during the quarantine measures; the analyses employed structural equation modeling. Results showed that passive usage of Facebook is negatively related to well-being through upward social comparison, whereas active usage of Instagram is positively related to satisfaction with life and negative affect through social support. Furthermore, active usage of Twitter was positively related to satisfaction with life through social support; while passive usage was negatively related to upward social comparison, which, in turn, was associated with more negative affect. Finally, TikTok use was not associated with well-being. Results are discussed in line with SNSs’ architectures and users’ motivations. Future research is required to go beyond methodological and statistical limitations and allow generalization. This study concludes that SNSs must be differentiated to truly understand how they shape human interactions.
Journal Article
The App Generation
by
HOWARD GARDNER
,
KATIE DAVIS
in
Application software
,
Creative ability in adolescence
,
Identity (Psychology)
2013
No one has failed to notice that the current generation of youth is deeply-some would say totally-involved with digital media. Professors Howard Gardner and Katie Davis name today's young people The App Generation, and in this spellbinding book they explore what it means to be \"app-dependent\" versus \"app-enabled\" and how life for this generation differs from life before the digital era.
Gardner and Davis are concerned with three vital areas of adolescent life: identity, intimacy, and imagination. Through innovative research, including interviews of young people, focus groups of those who work with them, and a unique comparison of youthful artistic productions before and after the digital revolution, the authors uncover the drawbacks of apps: they may foreclose a sense of identity, encourage superficial relations with others, and stunt creative imagination. On the other hand, the benefits of apps are equally striking: they can promote a strong sense of identity, allow deep relationships, and stimulate creativity. The challenge is to venture beyond the ways that apps are designed to be used, Gardner and Davis conclude, and they suggest how the power of apps can be a springboard to greater creativity and higher aspirations.
Can artificial intelligence help for scientific writing?
by
Taccone, Fabio Silvio
,
Gerli, Alberto Giovanni
,
Salvagno, Michele
in
Artificial Intelligence
,
Chat rooms
,
Chatbots
2023
This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. AI chatbot and ChatGPT in particular appear to be useful tools in scientific writing, assisting researchers and scientists in organizing material, generating an initial draft and/or in proofreading. There is no publication in the field of critical care medicine prepared using this approach; however, this will be a possibility in the next future. ChatGPT work should not be used as a replacement for human judgment and the output should always be reviewed by experts before being used in any critical decision-making or application. Moreover, several ethical issues arise about using these tools, such as the risk of plagiarism and inaccuracies, as well as a potential imbalance in its accessibility between high- and low-income countries, if the software becomes paying. For this reason, a consensus on how to regulate the use of chatbots in scientific writing will soon be required.
Journal Article
Determining the influence of depressive mood and self-disclosure on problematic mobile app use and declined educational attainment: Insight from stressor-strain-outcome perspective
by
Pang, Hua
in
College Students
,
Computer Appl. in Social and Behavioral Sciences
,
Computer Science
2024
Although problematic mobile app usage and its correlated negative consequences have become increasingly prevalent, little detailed attention was specially paid to the antecedents of problematic mobile app use and declined educational attainment. This current research employs the stress–strain–outcome (SSO) theoretical framework to thoroughly and systematically explore pathways through which depressive mood and self-disclosure lead to university students’ perceived information and social overload, and ultimately, declined educational attainment. Methodologically, the article employed a cross-sectional research approach to collect data from university students (N = 898) and analyzed data through structural equation modeling. The findings reveal that university students’ depressive mood and self-disclosure significantly affect information overload, social overload and problematic mobile app use. In addition, problematic mobile app use can directly result in students’ declined educational attainment. Furthermore, the study confirms that social overload can mediate the linkage between self-disclosure and problematic mobile app use. This research may add to the existing literature on the possible negative aspects of mobile technologies by providing a framework for further understanding problematic usage and providing insight into various factors that lead to and are affected by such use. The findings also imply that future researchers should delve more into the ways in which univeristy students’ personalities and environmental circumstances, such cognitive overload, shape their mobile app use experiences.
Journal Article
Super-Sticky Wechat and Chinese Society
by
Chen, Yujie
,
Qiu, Jack Linchuan
,
Mao, Zhifei
in
Information society
,
Mobile apps-Testing
,
Online social networks
2018
This book provides a balanced and nuanced study of how the super-sticky WeChat platform interweaves into the fabric of Chinese social, cultural, and political life. It keeps the wider global and national social media landscape in view and compares and contrasts WeChat with Weibo, QQ and other Western social media platforms.
Integrating predicted transcriptome from multiple tissues improves association detection
by
Zheng, Jiamao
,
Barbeira, Alvaro N.
,
Im, Hae Kyung
in
Biology and Life Sciences
,
Cardiovascular disease
,
Coronary vessels
2019
Integration of genome-wide association studies (GWAS) and expression quantitative trait loci (eQTL) studies is needed to improve our understanding of the biological mechanisms underlying GWAS hits, and our ability to identify therapeutic targets. Gene-level association methods such as PrediXcan can prioritize candidate targets. However, limited eQTL sample sizes and absence of relevant developmental and disease context restrict our ability to detect associations. Here we propose an efficient statistical method (MultiXcan) that leverages the substantial sharing of eQTLs across tissues and contexts to improve our ability to identify potential target genes. MultiXcan integrates evidence across multiple panels using multivariate regression, which naturally takes into account the correlation structure. We apply our method to simulated and real traits from the UK Biobank and show that, in realistic settings, we can detect a larger set of significantly associated genes than using each panel separately. To improve applicability, we developed a summary result-based extension called S-MultiXcan, which we show yields highly concordant results with the individual level version when LD is well matched. Our multivariate model-based approach allowed us to use the individual level results as a gold standard to calibrate and develop a robust implementation of the summary-based extension. Results from our analysis as well as software and necessary resources to apply our method are publicly available.
Journal Article