95 research outputs found

    Applying machine learning: a multi-role perspective

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    Machine (and deep) learning technologies are more and more present in several fields. It is undeniable that many aspects of our society are empowered by such technologies: web searches, content filtering on social networks, recommendations on e-commerce websites, mobile applications, etc., in addition to academic research. Moreover, mobile devices and internet sites, e.g., social networks, support the collection and sharing of information in real time. The pervasive deployment of the aforementioned technological instruments, both hardware and software, has led to the production of huge amounts of data. Such data has become more and more unmanageable, posing challenges to conventional computing platforms, and paving the way to the development and widespread use of the machine and deep learning. Nevertheless, machine learning is not only a technology. Given a task, machine learning is a way of proceeding (a way of thinking), and as such can be approached from different perspectives (points of view). This, in particular, will be the focus of this research. The entire work concentrates on machine learning, starting from different sources of data, e.g., signals and images, applied to different domains, e.g., Sport Science and Social History, and analyzed from different perspectives: from a non-data scientist point of view through tools and platforms; setting a problem stage from scratch; implementing an effective application for classification tasks; improving user interface experience through Data Visualization and eXtended Reality. In essence, not only in a quantitative task, not only in a scientific environment, and not only from a data-scientist perspective, machine (and deep) learning can do the difference

    Representing Reactive attachment disorder in contemporary fiction: creating new paths for neurodiverse characters

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    The first element of this work is a novel titled June in the Garden, which follows a neurodiverse protagonist with a diagnosis of reactive attachment disorder. The next section of the exegesis will provide insight into her atypical profile, particularly her traits of social disinhibition, an absence of emotion, affected cognitive processing and reasoning skills, and an inability to initiate and maintain relationships with others. The second element will include two parts: (1) a critical analysis of key diagnostic terms used in the clinical field to describe disorders relating to social-emotional detachment and disengagement, specifically reactive attachment disorder (RAD); (2) discussions on the current depiction of social-emotional detachment and, more broadly, of neurodiversity in contemporary fiction. This second part will argue that the two main pathways to depict a detachment disorder, like RAD, is heterogeneous characterisation, defined by common patterns that are exhibited in the novels selected, and typography, defined by unconventional text arrangement or a presence of visuals on the printed page. Aspects of typography will include deconstruction of the standard print form to allow for creative formatting, such as increased spacing, incomplete sentences, blank pages, and bolding of words. Another aspect will include the addition of specific visuals, such as conceptual word sharks (The Raw Shark Texts, Steven Hall, 2007), black and white photographs (Extremely Loud and Incredibly Close, Jonathan Safran Foer, 2005), and mathematical formulas and blueprints (The Curious Incident of the Dog in the Night-Time, Mark Haddon, 2003). These two methods, heterogeneous characterisation and typography, will explain my creative process for developing a neurodiverse protagonist, showing connections between my work and the work of other fiction writers. However, primarily this research will convey a new pathway for an atypical protagonist with a disorder relatively unknown in the wider community, to recontextualise the presentation of social-emotional detachment in fiction. I also hope to highlight the gaps in RAD research, particularly at the adult level, and to show how RAD can be portrayed realistically in a contemporary novel, without being too ‘gimmicky’

    Differences in Own-Face but not Own-Name Discrimination between Autistic and Neurotypical Adults:A Fast Periodic Visual Stimulation-EEG Study

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    Self-related processing is thought to be altered in autism, with several studies reporting that autistic individuals show a diminished neural response relative to neurotypicals for their own name and face. However, evidence remains scarce and is mostly based on event-related potential studies. Here, we used EEG to measure the neural activity of autistic adults (20 for faces, 27 for names) and neurotypical adults (24 for faces, 25 for names) while they were watching rapidly alternating faces and names, through a relatively new technique called Fast Periodic Visual Stimulation. We presented strangers’ faces or names at a base frequency of 5.77 Hz, while one’s own, a close other’s, and a specific stranger’s face/name was presented at an oddball frequency of 1.154 Hz. The neurotypical group showed a significantly greater response to their own face than both close other and stranger faces, and a greater response for close other than for stranger faces. In contrast, in the autism group, own and close other faces showed stronger responses than the stranger’s face, but the difference between own and close other faces was not significant in a bilateral parieto-occipital cluster. No group differences in the enhanced response to familiar names were found. These results replicate and extend results obtained using traditional electroencephalographic techniques which suggest atypical responses to self-relevant stimuli in autism

    COVID-19 Booster Vaccine Acceptance in Ethnic Minority Individuals in the United Kingdom: a mixed-methods study using Protection Motivation Theory

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    Background: Uptake of the COVID-19 booster vaccine among ethnic minority individuals has been lower than in the general population. However, there is little research examining the psychosocial factors that contribute to COVID-19 booster vaccine hesitancy in this population.Aim: Our study aimed to determine which factors predicted COVID-19 vaccination intention in minority ethnic individuals in Middlesbrough, using Protection Motivation Theory (PMT) and COVID-19 conspiracy beliefs, in addition to demographic variables.Method: We used a mixed-methods approach. Quantitative data were collected using an online survey. Qualitative data were collected using semi-structured interviews. 64 minority ethnic individuals (33 females, 31 males; mage = 31.06, SD = 8.36) completed the survey assessing PMT constructs, COVID-19conspiracy beliefs and demographic factors. 42.2% had received the booster vaccine, 57.6% had not. 16 survey respondents were interviewed online to gain further insight into factors affecting booster vaccineacceptance.Results: Multiple regression analysis showed that perceived susceptibility to COVID-19 was a significant predictor of booster vaccination intention, with higher perceived susceptibility being associated with higher intention to get the booster. Additionally, COVID-19 conspiracy beliefs significantly predictedintention to get the booster vaccine, with higher conspiracy beliefs being associated with lower intention to get the booster dose. Thematic analysis of the interview data showed that barriers to COVID-19 booster vaccination included time constraints and a perceived lack of practical support in the event ofexperiencing side effects. Furthermore, there was a lack of confidence in the vaccine, with individuals seeing it as lacking sufficient research. Participants also spoke of medical mistrust due to historical events involving medical experimentation on minority ethnic individuals.Conclusion: PMT and conspiracy beliefs predict COVID-19 booster vaccination in minority ethnic individuals. To help increase vaccine uptake, community leaders need to be involved in addressing people’s concerns, misassumptions, and lack of confidence in COVID-19 vaccination

    Age differences in conspiracy beliefs around Covid-19 pandemic and (dis)trust in the government

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    Objective: Times of societal crisis, such as the COVID-19 pandemic, during which people need to make sense of a chaotic world and to protect their health and lives, according to psychological research, represent suitable ground for the development of conspiracy theories about origins, spread, and treatment of the threat (coronavirus). Although numerous studies have been conducted on this issue since the beginning of the pandemic until today, most of the studies were conducted on the adult population with limited insights into development of the conspiracy beliefs in adolescence or over the lifespan. Objective of this study is precisely to explore how conspiracy beliefs regarding COVID-19 pandemic differentiate between multiple age groups (cross-sectional design), what are their sources and contexts, and how do they relate with the tendency to trust the government. Methodology: Data were gathered through eight focus group discussions with four age groups (11-12, 14-15, 18-19, 30+) in Serbia. Results: Based on critical discourse analysis, this paper identifies the differences in content and the sources of conspiracy thinking and how it relates to trust in the government. Study shows that high distrust in Serbian government is associated with conspiracy beliefs both within youth and adults. However, while among adolescents this finding is exclusively related with their beliefs that ruling structures have financial gain from the pandemic, against the interests of citizens, among adults it is related to the belief that the government (un)intentionally submits to the new global order that is managed by one or more powerful actors who are coordinated in secret action to achieve an outcome that is of public interest, but not public knowledge. Conclusion: The results will be discussed within current socio-political climate in Serbia, as well as the basis for understanding psychological factors which may underlie these tendencies in conspiracy theorizing, such as social identification, collective narcissism, authoritarianism, and social dominance orientation

    Epistemic Mentalizing and Causal Cognition Across Agents and Objects

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    This dissertation examines mentalizing abilities, causal reasoning, and the interactions thereof. Minds are so much more than false beliefs, yet much of the existing research on mentalizing has placed a disproportionately large emphasis on this one aspect of mental life. The first aim of this dissertation is to examine whether representing others’ knowledge states relies on more fundamentally basic cognitive processes than representations of their mere beliefs. Using a mixture of behavioral and brain measures across five experiments, I find evidence that we can represent others\u27 knowledge quicker and using fewer neural resources than when representing others’ beliefs. To be considered a representation of knowledge rather than belief, both mentalizer and mentalizee must accept the propositional content being represented as factive (Kiparsky & Kiparsky, 2014; Williamson, 2002). As such, my results suggest that representing the mental states of others may be cognitively easier when the content of which does not need to be decoupled from one’s own existing view of reality. Our perception of other minds can influence how we attribute causality for certain events. The second aim of this dissertation is to explore how perceptions of agency and prescriptive social norms influence our intuitions of how agents and objects cause events in the world. Using physics simulations and 3D anthropomorphic stimuli, the results of three experiments show that agency, itself, does not make agents more causal to an outcome than objects. Instead, causal judgments about agents and objects differ as a function of the counterfactuals they respectively afford. Furthermore, I show that what distinguishes the counterfactuals we use to make causal attributions to agents and objects are the prescriptions we hold for how they should behave. Why do we say a fire occurred because of a lightning strike, rather than the necessary presence of oxygen? The answer involves our normative expectations of the probability of lightning strikes and the relative ubiquity of oxygen (Icard et al., 2017). The third aim of this dissertation explores the gradation of causal judgments across multiple contributing events that each vary in their statistical probability. I contribute to ongoing theoretical debates about how humans select causes in experimental philosophy and cognitive science by introducing a publicly available dataset containing 47,970 causal attribution ratings collected from 1,599 adult participants and structured around four novel configurations of causal relationships. By quantitatively manipulating the influence of normality, I systematically explore the continuous space of a causal event’s probability from unlikely to certain. It is my hope that this benchmark dataset may serve as a growing testbed for diverging theoretical models proposing to characterize how humans answer the question: Why

    The Univocity of Attention: ADHD and the Case for a Renewed Self-Advocacy

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    This dissertation uses multi-sited ethnography and socio-philosophical analysis to answer the following questions: What is the current state of ADHD’s onto-epistemological status in contemporary discourse? Is an equivalent to critical autism studies possible for ADHD? Specifically, is it possible to refigure ADHD’s ontology as an affirmative difference rather than a deficit? Drawing from my own experiences living with ADHD, as well as anecdotal and ethnographic accounts from my engagement with ADHD self-advocacy communities, I put various critical social scientific theories “to the test,” including Hacking’s looping effects, structuralist-functionalist’s medicalization and social control, Foucault’s and Rose’s theories of subjectification and governmentality, Deleuze and Guattari’s concept of becoming, the fold and related antipsychiatry approaches (e.g., in mad studies literature), and historical materialist theories of the pathologies of late-stage capitalism. My findings indicate that there is something specific about ADHD’s symptoms that pushes back against the often-totalizing nature of these critical theories. I also draw from science and technology studies to conduct an ethnographic study of an ADHD clinic in Japan, to explore how this specificity of ADHD “travels” in cross-cultural contexts without being reduced to biology or culture. The results of my research indicate that the ontological legitimacy of ADHD (what qualifies it as existing, and what it means for it to exist) in contemporary discourse has little to do with its purported neurobiological or genetic underpinnings. Instead, popular ontological beliefs appear to “swing” between two poles of what I call the “dialectic of medicalization”: in one direction, a belief in the ontological primacy of identity (a disease entity, human kind, brain type, medical label, and so on); in the other direction, a belief in the ontological primacy of individual variation (neurobiological diversity, “human distress,” statistically-associated symptoms, genetic correlates, and so on). I show how this dialectic keeps ADHD in conceptual purgatory, helps to explain the history and current state of ADHD discourse, and contributes to ADHD misrecognition and harm. Borrowing from Deleuze’s Difference & Repetition (1994), I call for a renewed ADHD self-advocacy that breaks free from this dialectic by reformulating ontologies of ADHD in terms of its “difference in itself.” My dissertation arrives at a position compatible with critical disability studies and critical autism studies, though in a way that speaks to the specificity of ADHD’s affirmative differences rather than reducing them to the generality of neurodiversity

    Fechner Day 2022. Proceedings of the 38th Annual Meeting of the International Society for Psychophysics.

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    Learning Disabilities

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    Learning disabilities are a heterogeneous group of disorders characterized by failure to acquire, retrieve, and use information competently. These disorders have a multifactorial aetiology and are most common and severe in children, especially when comorbid with other chronic health conditions. This book provides current and comprehensive information about learning disorders, including information on neurobiology, assessment, clinical features, and treatment. Chapters cover such topics as historical research and hypotheses of learning disorders, neuropsychological assessment and counselling, characteristics of specific disorders such as autism and ADHD, evidence-based treatment strategies and assistive technologies, and much more
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