Universal Accessibility as a Multimodal Design Issue

In recent years, many research activities have focused on design that aims to produce universally accessible systems, taking into account special needs of various user groups. These special needs are associated with many user factors, such as impairments of speech, hearing or vision, cognitive limitations, aging, as well as with various environmental factors. Fields that address this problem, such as Usability, Universal Accessibility, Universal Design, or Inclusive Design have been developed as relatively independent domains, but they share many aspects with other human-computer interaction (HCI) disciplines. However, researchers and practitioners are often not aware of interconnections among concepts of universal accessibility and "ordinary" HCI. In view of this situation, in this article we show there is a fundamental connection between multimodal interface design and universal accessibility, and that awareness of these links can help both disciplines. Researchers from these areas may use different terminology, but the concepts they use often have essentially the same meaning. We propose a unified conceptual framework where these areas can be joined

The relationships between health anxiety, online health information seeking, and cyberchondria: Systematic review and meta-analysis

© 2018 Background: Cyberchondria refers to an abnormal behavioral pattern in which excessive or repeated online searches for health-related information are distressing or anxiety-provoking. Health anxiety has been found to be associated with both online health information seeking and cyberchondria. The aims of the present systematic review and meta-analysis were to examine the magnitude of these associations and identify any moderator variables. Methods: A systematic literature search was performed across several databases (PsycINFO, PubMed, Embase) and reference lists of included studies. Results: Twenty studies were included across two independent meta-analyses, with 7373 participants. Random effects meta-analyses showed that there was a positive correlation between health anxiety and online health information seeking [r = 0.34, 95% CI (0.20, 0.48), p <.0001], and between health anxiety and cyberchondria [r = 0.62, 95% CI (0.52, 0.71), p <.0001]. A meta-regression indicated that the age of study participants [Q(1) = 4.58, p =.03] was partly responsible for the heterogeneity found for the relationship between health anxiety and cyberchondria. Limitations: The generalizability and validity of our findings are restricted by the methodological limitations of the primary studies, namely, an over-reliance on a single measure of cyberchondria, the Cyberchondria Severity Scale. Conclusions: Our review found a positive correlation between health anxiety and online health information seeking, and between health anxiety and cyberchondria. Further research should aim to explore the contexts for these associations as well as address the identified limitations of the extant literature

Confirmatory Factor Analysis of the Nepean Dysphoria Scale in a Clinical Sample

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The construct of dysphoria has been described inconsistently across a broad range of psychopathology. The term has been used to refer to an irritable state of discontent, but is also thought to incorporate anger, resentment and nonspecific symptoms associated with anxiety and depression, such as tension and unhappiness. The Nepean Dysphoria Scale has been developed to allow assessment of dysphoria, but its factor structure has not yet been investigated in clinical samples. We aimed to determine the latent structure of dysphoria as reflected by the Nepean Dysphoria Scale, using a clinical sample. Adults (N = 206) seeking treatment at a range of mental health services were administered the Nepean Dysphoria Scale. Four putative factor structures were investigated using confirmatory factor analysis: a single-factor model, a hierarchical model, a bifactor model and a four-factor model as identified in previous studies. No model fit the data except for a four-factor model when a revised 22-item version of the original 24-item scale was investigated. A four-factor structure similar to that identified in non-clinical samples was supported, albeit following the removal of two items. The Nepean Dysphoria Scale appears to have utility for the assessment of dysphoria in routine clinical settings

Does emotional reasoning change during cognitive behavioural therapy for anxiety?

© 2015 Swedish Association for Behaviour Therapy. Abstract: Emotional reasoning refers to the use of subjective emotions, rather than objective evidence, to form conclusions about oneself and the world. It is a key interpretative bias in cognitive models of anxiety disorders and appears to be especially evident in individuals with anxiety disorders. However, the amenability of emotional reasoning to change during treatment has not yet been investigated. We sought to determine whether emotional reasoning tendencies change during a course of routine cognitive-behavioural therapy (CBT). Emotional reasoning tendencies were assessed in 36 individuals with a primary anxiety disorder who were seeking treatment at an outpatient clinic. Changes in anxiety and depressive symptoms as well as emotional reasoning tendencies after 12 sessions of CBT were examined in 25 individuals for whom there was complete data. Emotional reasoning tendencies were evident at pretreatment assessment. Although anxiety and depressive symptoms decreased during CBT, only one of six emotional reasoning interpretative styles (pertaining to conclusions that one is incompetent) changed significantly during the course of therapy. Attrition rates were high and there was not enough information regarding the extent to which therapy specifically focused on addressing emotional reasoning tendencies. Individuals seeking treatment for anxiety disorders appear to engage in emotional reasoning, however routine individual CBT does not appear to result in changes in emotional reasoning tendencies

Testing the spectrum hypothesis of problematic online behaviors: A network analysis approach.

The validity of the constructs of problematic Internet or smartphone use and Internet or smartphone addiction has been extensively debated. The spectrum hypothesis posits that problematic online behaviors (POBs) may be conceptualized within a spectrum of related yet distinct entities. To date, the hypothesis has received preliminary support, and further robust empirical studies are still needed. The present study tested the spectrum hypothesis of POBs in an Australian community sample (n = 1,617) using a network analysis approach. Psychometrically validated self-report instruments were used to assess six types of POBs: problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, and problematic online gambling. A tetrachoric correlation matrix was computed to explore relationships between online activities and a network analysis was used to analyze relationships between POBs. Correlations between online activities were positive and significant, but of small magnitude (0.051 ≤ r ≤ 0.236). The community detection analysis identified six distinct communities, corresponding to each POB, with strong relationships between items within each POB and weaker relationships between POBs. These findings provide further empirical support for the spectrum hypothesis, suggesting that POBs occur as distinct entities and with little overlap

The structure and intensity of self-reported autonomic arousal symptoms across anxiety disorders and obsessive-compulsive disorder

© 2016 Elsevier B.V. All rights reserved. Background Heightened autonomic arousal symptoms (AAS) are assumed to be a central feature of anxiety disorders. However, it is unclear whether the magnitude and profile of AAS vary across anxiety disorders and whether heightened AAS characterises obsessive-compulsive disorder (OCD). Aims We sought to determine whether the intensity and structure of AAS varied across anxiety disorders and OCD. Method A sample of 459 individuals with a primary anxiety disorder or OCD were administered the Symptom Checklist-90R. Nine items referring to prototypic AAS were included in a latent class analysis. Results A 2-class solution (high and low AAS classes) best fitted the data. Participants comprising the high AAS class scored uniformly high across all assessed AAS symptoms. Older age and the presence of panic disorder, social anxiety disorder and generalized anxiety disorder predicted membership in the high AAS class. No OCD symptom dimension was significantly associated with membership in the high AAS class. Limitation AAS were assessed using a self-report measure and replication is needed using other methodologies. Conclusions These findings suggest that OCD may be sufficiently distinct from anxiety disorders and do not support subtyping of anxiety disorders on the basis of the predominant type of AAS. Therapeutic approaches that target AAS might best be applied in the treatment of panic disorder, social anxiety disorder and generalized anxiety disorder

Research Directions in the Study of Gaming-Related Escapism: a Commentary to Melodia, Canale, and Griffiths (2020)

Escapism motivations and related processes (e.g., avoidance, dissociation, relaxation, and emotion dysregulation)&nbsp;have been identified as risk factors for problematic gaming. However, the escapism construct has often been poorly&nbsp;conceptualized and operationalized in assessment instruments. In their systematic review, Melodia et al. (2020)&nbsp;proposed that conceptualizing escapism as an avoidant coping strategy could provide a sound basis for further&nbsp;study of problematic gaming. In this commentary, we critically examine some terminological and conceptual issues&nbsp;in relation to escapism to guide future research

Testing the spectrum hypothesis of problematic online behaviors: A network analysis approach.

The validity of the constructs of problematic Internet or smartphone use and Internet or smartphone addiction has been extensively debated. The spectrum hypothesis posits that problematic online behaviors (POBs) may be conceptualized within a spectrum of related yet distinct entities. To date, the hypothesis has received preliminary support, and further robust empirical studies are still needed. The present study tested the spectrum hypothesis of POBs in an Australian community sample (n = 1,617) using a network analysis approach. Psychometrically validated self-report instruments were used to assess six types of POBs: problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, and problematic online gambling. A tetrachoric correlation matrix was computed to explore relationships between online activities and a network analysis was used to analyze relationships between POBs. Correlations between online activities were positive and significant, but of small magnitude (0.051 ≤ r ≤ 0.236). The community detection analysis identified six distinct communities, corresponding to each POB, with strong relationships between items within each POB and weaker relationships between POBs. These findings provide further empirical support for the spectrum hypothesis, suggesting that POBs occur as distinct entities and with little overlap

The evolution of Internet addiction: A global perspective

Kimberly Young’s early work on Internet addiction (IA)has been pioneering and her early writings on the topic inspired many others to carry out research in the area. Young's (2015) recent paper on the 'evolution of Internet addiction' featured very little European research, and did not consider the main international evidence that has contributed to our current knowledge about the conceptualization, epidemiology, etiology, and course of Internet-related disorders. This short commentary paper elaborates on important literature omitted by Young that the present authors believe may be of use to researchers. We also address statements made in Young’s (2015) commentary that are incorrect (and therefore misleading) and not systematically substantiated by empirical evidence