1,721,175 research outputs found
Micro-movement as an objective measure to assess autism spectrum disorder
No full textThe assessment of the Autism Spectrum Disorder (ASD) has always focused on the observational analysis of behavior, primarily aiming to detect the presence of some behaviors considered typical of the disorder. However, autism is often characterized by motor abnormalities as well. This paper presents a pilot study with the aim to assess the preliminary capability of a software for micro-movement analysis to detect typical characteristics of movement in subjects with ASD. Therefore, the software has been tested on a small sample of ASD subjects and the results have been compared to those of a group of subjects with typical development (TD). The results showed that it is possible to observe some differences between the groups in relation to some parameters of effectiveness, linearity, and average speed of trajectories
Artificial Intelligence-powered cognitive training applications for children with attention deficit hyperactivity disorder: A brief review
No full textAttention deficit hyperactivity disorder (ADHD) is a complex neurodevelopmental disorder whose symptoms are related to poor learning outcomes, low executive functioning and parental stress. e-Health applications aimed at enhancing cognitive processes and executive functions for ADHD are emerging technologies. The present work reviews Artificial Intelligence (AI)-powered applications developed for children with ADHD by highlighting their impact and scientific support. We considered both mobile and desktop applications. The first were selected from Google Play and Apple Store, whilst PCs applications were selected from online magazines devoted to ADHD. Related scientific studies were then identified through Google Scholar, PubMed, and APA PsycNET databases. Research results reveal a critical lack of scientific support for mobile applications, only 2 are supported; otherwise, PCs applications are supported by multiple studies, although with small samples. Some applications are provided with intelligent tutoring and self-paced learning activities, but more scientific studies are needed to test their effectiveness for supporting children with ADHD. In conclusion, these software are promising, however, there is still a paucity of scientific support, a crucial aspect when a tool is intended to improve specific difficulties of children with complex neurodevelopmental disorders
Applied behavior analysis (ABA) as a footprint for tutoring systems: A model of ABA approach applied to olfactory learning
Full text linkApplied Behavior Analysis (ABA) belongs to the analysis of behavior techniques introduced by the theorists of behaviorism in psychological fields. It deals with the application of behaviorism principles to guide the learning process. It can serve as a footprint to build artificial tutoring systems in environments for specific learning processes. In this paper, we delineate the pathway to build an artificial tutoring system following ABA footprints, named the ABA tutor. In implementing the ABA tutor, the techniques of ABA are reproduced. This paper also describes how to build a tutor based on ABA and how to use it to favor olfactory learning. In more detail, the ABA tutor is inserted in SNIFF, a system that combines a software and a hardware side to assess and practice the sense of smell exploiting gamification. A first experiment was run involving 90 participants, and the results indicated that the artificial tutoring system based on ABA principles can effectively promote olfactory learning. The implications of this approach are discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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