Showing papers by "City University London published in 2013"
TL;DR: “BCT taxonomy v1,” an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but the authors anticipate further development and evaluation based on international, interdisciplinary consensus.
Abstract: CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. “BCT taxonomy v1,” an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
4,568 citations
TL;DR: The authors used latent class analysis on these variables to derive seven classes of social class in the UK, and demonstrate the existence of an elite class whose wealth separates them from an established middle class, as well as a class of technical experts.
Abstract: The social scientific analysis of social class is attracting renewed interest given the accentuation of economic and social inequalities throughout the world. The most widely validated measure of social class, the Nuffield class schema, developed in the 1970s, was codified in the UK’s National Statistics Socio-Economic Classification (NS-SEC) and places people in one of seven main classes according to their occupation and employment status. This principally distinguishes between people working in routine or semi-routine occupations employed on a ‘labour contract’ on the one hand, and those working in professional or managerial occupations employed on a ‘service contract’ on the other. However, this occupationally based class schema does not effectively capture the role of social and cultural processes in generating class divisions. We analyse the largest survey of social class ever conducted in the UK, the BBC’s 2011 Great British Class Survey, with 161,400 web respondents, as well as a nationally representative sample survey, which includes unusually detailed questions asked on social, cultural and economic capital. Using latent class analysis on these variables, we derive seven classes. We demonstrate the existence of an ‘elite’, whose wealth separates them from an established middle class, as well as a class of technical experts and a class of ‘new affluent’ workers. We also show that at the lower levels of the class structure, alongside an ageing traditional working class, there is a ‘precariat’ characterised by very low levels of capital, and a group of emergent service workers. We think that this new seven class model recognises both social polarisation in British society and class fragmentation in its middle layers, and will attract enormous interest from a wide social scientific community in offering an up-to-date multi-dimensional model of social class.
877 citations
TL;DR: In this article, the authors define the business model as a system that solves the problem of identifying who is (or are) the customer(s), engaging with their needs, delivering satisfaction, and monetizing the value.
844 citations
TL;DR: This paper surveys different intrusions affecting availability, confidentiality and integrity of Cloud resources and services and recommends IDS/IPS positioning in Cloud environment to achieve desired security in the next generation networks.
799 citations
TL;DR: In this article, a framework of social media's impact on brand management is introduced, arguing that consumers are becoming pivotal authors of brand stories due to new dynamic networks of consumers and brands formed through social media and the easy sharing of brand experiences in such networks.
682 citations
TL;DR: Improved care, including oxygen delivery and monitoring, for preterm babies in all facility settings would reduce the number of babies affected with ROP and improve data tracking and coverage of locally adapted screening/treatment programs.
Abstract: Retinopathy of prematurity (ROP) is a leading cause of potentially avoidable childhood blindness worldwide. We estimated ROP burden at the global and regional levels to inform screening and treatment programs, research, and data priorities. Systematic reviews and meta-analyses were undertaken to estimate the risk of ROP and subsequent visual impairment for surviving preterm babies by level of neonatal care, access to ROP screening, and treatment. A compartmental model was used to estimate ROP cases and numbers of visually impaired survivors. In 2010, an estimated 184,700 (uncertainty range: 169,600–214,500) preterm babies developed any stage of ROP, 20,000 (15,500–27,200) of whom became blind or severely visually impaired from ROP, and a further 12,300 (8,300–18,400) developed mild/moderate visual impairment. Sixty-five percent of those visually impaired from ROP were born in middle-income regions; 6.2% (4.3–8.9%) of all ROP visually impaired infants were born at >32-wk gestation. Visual impairment from other conditions associated with preterm birth will affect larger numbers of survivors. Improved care, including oxygen delivery and monitoring, for preterm babies in all facility settings would reduce the number of babies affected with ROP. Improved data tracking and coverage of locally adapted screening/treatment programs are urgently required.
538 citations
TL;DR: In this article, a study using the theory of planned behavior (TPB) to explore environmental behavioral intentions in a workplace setting was presented, and the results form a basis upon which interventions could be developed within the host organization, and are discussed in relation to their implications, in terms of theory, practice and future research.
486 citations
TL;DR: The Conspiracy Mentality Questionnaire (CMQ) is presented, an instrument designed to efficiently assess differences in the generic tendency to engage in conspiracist ideation within and across cultures and predicted beliefs in specific conspiracy theories over and above other individual difference measures.
Abstract: Conspiracy theories are ubiquitous when it comes to explaining political events and societal phenomena. Individuals differ not only in the degree to which they believe in specific conspiracy theories, but also in their general susceptibility to explanations based on such theories, that is, their conspiracy mentality. We present the Conspiracy Mentality Questionnaire (CMQ), an instrument designed to efficiently assess differences in the generic tendency to engage in conspiracist ideation within and across cultures. The CMQ is available in English, German, and Turkish. In four studies, we examined the CMQ’s factorial structure, reliability, measurement equivalence across cultures, and its convergent, discriminant, and predictive validity. Analyses based on a cross-cultural sample (Study 1a; N = 7,766) supported the conceptualization of conspiracy mentality as a one-dimensional construct across the three language versions of the CMQ that is stable across time (Study 1b; N = 141). Multigroup confirmatory factor analysis demonstrated cross-cultural measurement equivalence of the CMQ items. The instrument could therefore be used to examine differences in conspiracy mentality between European, North American, and Middle Eastern cultures. In Studies 2-4 (total N = 476), we report (re-)analyses of 3 datasets demonstrating the validity of the CMQ in student and working population samples in the UK and Germany. First, attesting to its convergent validity, the CMQ was highly correlated with another measure of generic conspiracy belief. Second, the CMQ showed patterns of meaningful associations with personality measures (e.g., Big Five dimensions, schizotypy), other generalized political attitudes (e.g., social dominance orientation and right-wing authoritarianism), and further individual differences (e.g., paranormal belief, lack of socio-political control). Finally, the CMQ predicted beliefs in specific conspiracy theories over and above other individual difference measures.
434 citations
TL;DR: It is argued that, where observed, emotional impairments are due to alexithymia—a condition that frequently co-occurs with autism—rather than a feature of autism per se, and has wide-reaching implications for the study of autism.
Abstract: It is widely accepted that autism is associated with disordered emotion processing and, in particular, with deficits of emotional reciprocity such as impaired emotion recognition and reduced empathy. However, a close examination of the literature reveals wide heterogeneity within the autistic population with respect to emotional competence. Here we argue that, where observed, emotional impairments are due to alexithymia-a condition that frequently co-occurs with autism-rather than a feature of autism per se. Alexithymia is a condition characterized by a reduced ability to identify and describe one's own emotion, but which results in reduced empathy and an impaired ability to recognize the emotions of others. We briefly review studies of emotion processing in alexithymia, and in autism, before describing a recent series of studies directly testing this 'alexithymia hypothesis'. If found to be correct, the alexithymia hypothesis has wide-reaching implications for the study of autism, and how we might best support subgroups of autistic individuals with, and without, accompanying alexithymia. Finally, we note the presence of elevated rates of alexithymia, and inconsistent reports of emotional impairments, in eating disorders, schizophrenia, substance abuse, Parkinson's Disease, multiple sclerosis and anxiety disorders. We speculate that examining the contribution of alexithymia to the emotional symptoms of these disorders may bear fruit in the same way that it is starting to do in autism.
429 citations
TL;DR: It is found that standard natural language processing techniques can perform well for social streams on very focused topics, but novel techniques designed to mine the temporal distribution of concepts are needed to handle more heterogeneous streams containing multiple stories evolving in parallel.
Abstract: Online social and news media generate rich and timely information about real-world events of all kinds. However, the huge amount of data available, along with the breadth of the user base, requires a substantial effort of information filtering to successfully drill down to relevant topics and events. Trending topic detection is therefore a fundamental building block to monitor and summarize information originating from social sources. There are a wide variety of methods and variables and they greatly affect the quality of results. We compare six topic detection methods on three Twitter datasets related to major events, which differ in their time scale and topic churn rate. We observe how the nature of the event considered, the volume of activity over time, the sampling procedure and the pre-processing of the data all greatly affect the quality of detected topics, which also depends on the type of detection method used. We find that standard natural language processing techniques can perform well for social streams on very focused topics, but novel techniques designed to mine the temporal distribution of concepts are needed to handle more heterogeneous streams containing multiple stories evolving in parallel. One of the novel topic detection methods we propose, based on -grams cooccurrence and topic ranking, consistently achieves the best performance across all these conditions, thus being more reliable than other state-of-the-art techniques.
423 citations
TL;DR: The factors affecting Cloud computing adoption, vulnerabilities and attacks are surveyed, and relevant solution directives to strengthen security and privacy in the Cloud environment are identified.
Abstract: Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since Cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as threats introduced by newer architectures raise many security and privacy concerns. In this paper, we survey the factors affecting Cloud computing adoption, vulnerabilities and attacks, and identify relevant solution directives to strengthen security and privacy in the Cloud environment.
TL;DR: The thesis is that quantum probability theory provides a more accurate and powerful account of certain cognitive processes than classical probability theory, and this work discusses ways in which QP and CP theories converge.
Abstract: Classical (Bayesian) probability (CP) theory has led to an influential research tradition for modeling cognitive processes. Cognitive scientists have been trained to work with CP principles for so long that it is hard even to imagine alternative ways to formalize probabilities. However, in physics, quantum probability (QP) theory has been the dominant probabilistic approach for nearly 100 years. Could QP theory provide us with any advantages in cognitive modeling as well? Note first that both CP and QP theory share the fundamental assumption that it is possible to model cognition on the basis of formal, probabilistic principles. But why consider a QP approach? The answers are that (1) there are many well-established empirical findings (e.g., from the influential Tversky, Kahneman research tradition) that are hard to reconcile with CP principles; and (2) these same findings have natural and straightforward explanations with quantum principles. In QP theory, probabilistic assessment is often strongly context- and order- dependent, individual states can be superposition states (that are impossible to associate with specific values), and composite systems can be entangled (they cannot be decomposed into their subsystems). All these characteristics appear perplexing from a classical perspective. However, our thesis is that they provide a more accurate and powerful account of certain cognitive processes. We first introduce QP theory and illustrate its application with psychological examples. We then review empirical findings that motivate the use of quantum theory in cognitive theory, but also discuss ways in which QP and CP theories converge. Finally, we consider the implications of a QP theory approach to cognition for human rationality.
TL;DR: In this paper, the authors propose a framework for assessing the marketing potential that social commerce has to offer to firms and discuss the implications for researchers and managers, based on the proposed definition and framework.
TL;DR: This article proposes a typology of business models that emphasizes the connecting of traditional value chain descriptors with how customers are identified and satisfied, and how the firm monetizes its value, to extend current work on cognitive categorization and open up new possibilities for organization research.
Abstract: Most research on business models lies in the literature on strategy and competitive advantage and focuses on their role as descriptors of actual phenomenon, often by reference to taxonomic categories. In this article, we explore how business models can be seen as a set of cognitive configurations that can be manipulable in the minds of managers (and academics). By proposing a typology of business models that emphasizes the connecting of traditional value chain descriptors with how customers are identified and satisfied, and how the firm monetizes its value, we explore how business model configurations can extend current work on cognitive categorization and open up new possibilities for organization research.
Manchester Academic Health Science Centre1, University of Leicester2, Hull York Medical School3, University of Exeter4, VU University Medical Center5, Karolinska Institutet6, University of New South Wales7, City University London8, VU University Amsterdam9, University of Sheffield10, University of Wollongong11, University of Manchester12, Fu Jen Catholic University13
TL;DR: The data suggest that patients with more severe depression at baseline show at least as much clinical benefit from low intensity interventions as less severely depressed patients and could usefully be offered these interventions as part of a stepped care model.
Abstract: Objective To assess how initial severity of depression affects the benefit derived from low intensity interventions for depression.
01 Dec 2013
TL;DR: Limits of current transcription methods are analyzed and promising directions for future research are identified, including the integration of information from multiple algorithms and different musical aspects.
Abstract: Automatic music transcription is considered by many to be a key enabling technology in music signal processing. However, the performance of transcription systems is still significantly below that of a human expert, and accuracies reported in recent years seem to have reached a limit, although the field is still very active. In this paper we analyse limitations of current methods and identify promising directions for future research. Current transcription methods use general purpose models which are unable to capture the rich diversity found in music signals. One way to overcome the limited performance of transcription systems is to tailor algorithms to specific use-cases. Semi-automatic approaches are another way of achieving a more reliable transcription. Also, the wealth of musical scores and corresponding audio data now available are a rich potential source of training data, via forced alignment of audio to scores, but large scale utilisation of such data has yet to be attempted. Other promising approaches include the integration of information from multiple algorithms and different musical aspects.
TL;DR: In this paper, the authors provide an empirical test of the Twitter effect, which postulates that micro bloggingging word of mouth (MWOM) shared through Twitter and similar services affects early product adoption behaviors by immediately disseminating consumers' post-purchase quality evaluations.
Abstract: This research provides an empirical test of the “Twitter effect,” which postulates that microblogging word of mouth (MWOM) shared through Twitter and similar services affects early product adoption behaviors by immediately disseminating consumers’ post-purchase quality evaluations. This is a potentially crucial factor for the success of experiential media products and other products whose distribution strategy relies on a hyped release. Studying the four million MWOM messages sent via Twitter concerning 105 movies on their respective opening weekends, the authors find support for the Twitter effect and report evidence of a negativity bias. In a follow-up incident study of 600 Twitter users who decided not to see a movie based on negative MWOM, the authors shed additional light on the Twitter effect by investigating how consumers use MWOM information in their decision-making processes and describing MWOM’s defining characteristics. They use these insights to position MWOM in the word-of-mouth landscape, to identify future word-of-mouth research opportunities based on this conceptual positioning, and to develop managerial implications.
24 Oct 2013
TL;DR: It is suggested that completeness is more important than soundness: increasing completeness via certain information types helped participants' mental models and, surprisingly, their perception of the cost/benefit tradeoff of attending to the explanations.
Abstract: Research is emerging on how end users can correct mistakes their intelligent agents make, but before users can correctly “debug” an intelligent agent, they need some degree of understanding of how it works. In this paper we consider ways intelligent agents should explain themselves to end users, especially focusing on how the soundness and completeness of the explanations impacts the fidelity of end users' mental models. Our findings suggest that completeness is more important than soundness: increasing completeness via certain information types helped participants' mental models and, surprisingly, their perception of the cost/benefit tradeoff of attending to the explanations. We also found that oversimplification, as per many commercial agents, can be a problem: when soundness was very low, participants experienced more mental demand and lost trust in the explanations, thereby reducing the likelihood that users will pay attention to such explanations at all.
TL;DR: Findings accord with the hypothesis that the emotional symptoms of autism are in fact due to co-occurring alexithymia and that existing diagnostic criteria may need to be revised.
Abstract: Despite considerable research into whether face perception is impaired in autistic individuals, clear answers have proved elusive. In the present study, we sought to determine whether co-occurring alexithymia (characterized by difficulties interpreting emotional states) may be responsible for face-perception deficits previously attributed to autism. Two experiments were conducted using psychophysical procedures to determine the relative contributions of alexithymia and autism to identity and expression recognition. Experiment 1 showed that alexithymia correlates strongly with the precision of expression attributions, whereas autism severity was unrelated to expression-recognition ability. Experiment 2 confirmed that alexithymia is not associated with impaired ability to detect expression variation; instead, results suggested that alexithymia is associated with difficulties interpreting intact sensory descriptions. Neither alexithymia nor autism was associated with biased or imprecise identity attributions. These findings accord with the hypothesis that the emotional symptoms of autism are in fact due to co-occurring alexithymia and that existing diagnostic criteria may need to be revised.
TL;DR: In this article, a conceptual framework of value creation through video games is developed, highlighting important findings from existing research in marketing and other disciplines, and applying the framework to derive future research opportunities.
TL;DR: The recently acknowledged role of the cerebellum in linguistic and related cognitive and behavioral-affective functions is reviewed and the current hypotheses dealing with the presumed neurobiological mechanisms underlying the linguistic, cognitive and affective modulatory role of this organ are reviewed.
TL;DR: A rise in HIV-incidence has occurred in men-who-have-sex-with-men in the UK despite an only modest increase in levels of condomless sex and high coverage of ART, suggesting ART has almost certainly exerted a limiting effect on incidence.
Abstract: Background: There is interest in expanding ART to prevent HIV transmission, but in the group with the highest levels of ART use, men-who-have-sex-with-men (MSM), numbers of new infections diagnosed each year have not decreased as ART coverage has increased for reasons which remain unclear.
Methods: We analysed data on the HIV-epidemic in MSM in the UK from a range of sources using an individual-based simulation model. Model runs using parameter sets found to result in good model fit were used to infer changes in HIV-incidence and risk behaviour.
Results: HIV-incidence has increased (estimated mean incidence 0.30/100 person-years 1990–1997, 0.45/100 py 1998–2010), associated with a modest (26%) rise in condomless sex. We also explored counter-factual scenarios: had ART not been introduced, but the rise in condomless sex had still occurred, then incidence 2006–2010 was 68% higher; a policy of ART initiation in all diagnosed with HIV from 2001 resulted in 32% lower incidence; had levels of HIV testing been higher (68% tested/year instead of 25%) incidence was 25% lower; a combination of higher testing and ART at diagnosis resulted in 62% lower incidence; cessation of all condom use in 2000 resulted in a 424% increase in incidence. In 2010, we estimate that undiagnosed men, the majority in primary infection, accounted for 82% of new infections.
Conclusion: A rise in HIV-incidence has occurred in MSM in the UK despite an only modest increase in levels of condomless sex and high coverage of ART. ART has almost certainly exerted a limiting effect on incidence. Much higher rates of HIV testing combined with initiation of ART at diagnosis would be likely to lead to substantial reductions in HIV incidence. Increased condom use should be promoted to avoid the erosion of the benefits of ART and to prevent other serious sexually transmitted infections.
TL;DR: In this article, the authors evaluate the potential found within two approaches that recognize the complexity of social hierarchy in different ways and propose an intersectional framing which centres on social location and translocation.
Abstract: This article evaluates the potential found within two approaches that recognize the complexity of social hierarchy in different ways. First, it looks at the revival of class analysis within culturally inflected approaches to class. These have incorporated a number of societal relations, broadly referred to as the symbolic, the social and the cultural, into the analysis. Second, the article assesses attempts to theorize the intersections of gender, ethnicity and class through the intersectionality framework. It considers the potential for developing more integrated analytical frameworks for understanding social hierarchy through cross-referencing these debates. It proposes an intersectional framing which centres on social location and translocation.
TL;DR: In this paper, a review of recent progress in the optical fiber field for the measurement of humidity and moisture and examine, as a result, the breadth of applications that now are being discussed.
TL;DR: The Think:Lab Thought Leaders' Summit 2012 as mentioned in this paper took place in Munich, Germany from September 19-23, 2012 and was made possible by the Digitalization Think Lab, a joint research initiative by the University of Munster's marketing center and Roland Berger Strategy Consultants.
TL;DR: In this article, the authors present a critique of corporate governance research grounded in agency theory and propose that cross-national comparison of Corporate Governance should consider how the nature and extent of agency relationships differ across different institutional contexts.
Abstract: We present a critique of corporate governance research grounded in agency theory and propose that cross-national comparison of corporate governance should consider how the nature and extent of agency relationships differ across different institutional contexts. Building on prior governance studies grounded in sociology and organizational theory we argue that performance outcomes of boards of directors, ownership concentration, and executive incentives may differ depending on the legal system and institutional characteristics in a specific country. Institutions may also affect the extent of complimentarity/substitution among different firm-level governance practices producing patterned variations in firm-level governance mechanisms. Our discussion suggests that researchers need to develop more holistic, institutionally embedded governance framework to analyze organizational outcomes of various governance practices.
TL;DR: The hierarchical nature of behavioural control is delineated, including the role played by conscious awareness in behavioural inhibition and the combined effects of these systems are outlined.
Abstract: Approach–avoidance theories describe the major systems that motivate behaviours in reaction to classes of appetitive (rewarding) and aversive (punishing) stimuli. The literature points to two major “avoidance” systems, one related to pure avoidance and escape of aversive stimuli, and a second, to behavioural inhibition induced by the detection of goal conflict (in addition, there is evidence for nonaffective behavioural constraint). A third major system, responsible for approach behaviour, is reactive to appetitive stimuli, and has several subcomponents. A number of combined effects of these systems are outlined. Finally, the hierarchical nature of behavioural control is delineated, including the role played by conscious awareness in behavioural inhibition.
TL;DR: This paper presents a system that addresses the challenge of performing facial expression recognition when the test image is in the encrypted domain, and to the best of the knowledge, this is the first known result that performs facial expressions recognition in theencrypted domain.
Abstract: Facial expression recognition forms a critical capability desired by human-interacting systems that aim to be responsive to variations in the human's emotional state. Recent trends toward cloud computing and outsourcing has led to the requirement for facial expression recognition to be performed remotely by potentially untrusted servers. This paper presents a system that addresses the challenge of performing facial expression recognition when the test image is in the encrypted domain. More specifically, to the best of our knowledge, this is the first known result that performs facial expression recognition in the encrypted domain. Such a system solves the problem of needing to trust servers since the test image for facial expression recognition can remain in encrypted form at all times without needing any decryption, even during the expression recognition process. Our experimental results on popular JAFFE and MUG facial expression databases demonstrate that recognition rate of up to 95.24 percent can be achieved even in the encrypted domain.
01 Jan 2013
TL;DR: An overview of systems submitted to the public evaluation challenge on acoustic scene classification and detection of sound events within a scene as well as a detailed evaluation of the results achieved by those systems are provided.
Abstract: This paper describes a newly-launched public evaluation challenge on acoustic scene classification and detection of sound events within a scene. Systems dealing with such tasks are far from exhibiting human-like performance and robustness. Undermining factors are numerous: the extreme variability of sources of interest possibly interfering, the presence of complex background noise as well as room effects like reverberation. The proposed challenge is an attempt to help the research community move forward in defining and studying the aforementioned tasks. Apart from the challenge description, this paper provides an overview of systems submitted to the challenge as well as a detailed evaluation of the results achieved by those systems.
TL;DR: This paper analyzed the evolving cultural political economy of climate change by developing the concept of "climate imaginaries" which are shared socio-semiotic systems that structure a field of knowledge about climate change.
Abstract: This article analyses the evolving cultural political economy of climate change by developing the concept of ‘climate imaginaries’. These are shared socio-semiotic systems that structure a field ar...