1,721,030 research outputs found
NETWORKED FLOW IN MUSICAL BANDS
No full textThis study aimed at using the Networked Flow (NF) model to investigate group collaboration in the context of musical bands. We analyzed the relationship between flow, social presence, structural dynamics and performance as they related to 15 bands in a rehearsal room. Flow was measured using the Flow State Scale; social presence was assessed with the Networked Minds Social Presence scale; and interpersonal communication structure (exchange of gazes and verbal orders) was assessed by means of Social Network Analysis (SNA). In addition, we considered: (a) a subjective measure of performance, rated by each member on an ad-hoc questionnaire; and (b) an expert rating of performance, based on the evaluation of audio-video recordings of each group. Findings showed the multifaceted nature of the relationship between social presence and flow. Group flow score was a significant predictor of self-reported performance, but not of expert-evaluated performance. Moreover, several correlations were found between flow, social presence and patterns of interpersonal coordination (both implicit and explicit). Specifically, SNA reveals that flow was positively related to exchanges of gazes and negatively associated with exchanges of orders. Overall, this study contributes to further elucidating the complex interplay between group flow and intersubjective dynamics in music collaboration. © Society for Education, Music, and Psychology Research
sj-docx-1-pps-10.1177_17456916221119396 – Supplemental material for Improving Scale Equivalence by Increasing Access to Scale-Specific Information
No full textSupplemental material, sj-docx-1-pps-10.1177_17456916221119396 for Improving Scale Equivalence by Increasing Access to Scale-Specific Information by Alicia B. W. Clifton, Alexander G. Stahlmann, Jennifer Hofmann, Alice Chirico, Rive Cadwallader and Jeremy D. W. Clifton in Perspectives on Psychological Science</p
Computers in Human Behavior
No full textComputers in Human Behavior is a scholarly journal dedicated to examining the use of computers from a psychological perspective. Original theoretical works, research reports, literature reviews, software reviews, book reviews and announcements are published. The journal addresses both the use of computers in psychology, psychiatry and related disciplines as well as the psychological impact of computer use on individuals, groups and society. The former category includes articles exploring the use of computers for professional practice, training, research and theory development
Emerging technologies in varied domains: Perspectives and future research directions
Full text linkAs a result of the continuous advances in the field of digital and
virtual technology, robotics, and artificial intelligence domains, we are
experiencing profound and extremely rapid changes in almost every
aspect of our human experience and are discovering new aspects of it as
well. This revolution encompasses a variety of fields, including tourism,
communication, entertainment, education, and art.
In this special issue, “Emerging Technologies and Human Behaviour:
Challenges in Artificial Intelligence, Social Robotics, and Virtual Reality
in Psychology, Complex Experience and Artistic Domains”, to capture
the key consequences of this rapid revolution on human behaviour and
experience, we focused on the most salient discoveries in a wide variety
of domains. Specifically, articles included in this collection focused on
how and to what extent emerging technologies are re-shaping human
life now and their potential impact in the near future. This collection of
articles explores the impact of virtual reality on our emotions as well as
artificial intelligence’s role in art creation, looking at how technological
advances are reshaping our lives and presenting new opportunities of
human experience.
Contributors are from a wide variety of disciplines, as this topic
covers different domains. Meta-themes addressed in this collection
include the impact of novel robotics, virtual and artificial systems on
emotions, attitudes, behaviours and their link with peculiar personality
traits.
More narrowed topics revolve around the use of technologies such
Artificial Intelligence (including in education), Augmented, Mixed and
Virtual Reality for the study of consumer decision-making process; the
addiction attitude towards social media; and pre-diagnostic instrument
that leverages Explainable Artificial Intelligence to enhance the diagnostic
process of autism, among others.
We privileged empirical articles and systematic theoretical contributions
investigating the link between human experience and emerging
technology in a specific domain, thus, offering theoretical and methodological
guidelines for further research in the field.
In the end we had 19 articles that met these inclusion criteria and
that we included in this issue. First, we provide an overview of the most
recent discoveries for each domain, and then, we deepened how articles
in this issue add to existing literature. Then, we concluded with guidelines
for future research in each specific domain and we justify the need
for a more interdisciplinary effort across domains
How Life Transitions Influence Emerging Adults’ and Young Adults’ Use of the Internet: A Developmental Perspective
No full textGoing 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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