Critical Infrastructures You Can Trust: Where Telecommunications Fits

This paper discusses two NISs: the public telephone network (PTN) and the Internet. Being themselves large and complex NISs, they not only merit study in their own right but can help us to understand some of the technical problems faced by the developers and operators of other NISs. In addition, the high cost of building a global communications infrastructure from the ground up implies that one or both of these two networks is likely to furnish communications services for most other NISs. Therefore, an understanding of the vulnerabilties of the PTN and Internet informs the assessment of the trustworthiness of other NISs. Ideas for improving the trustworthiness of the PTN and Internet are also proposed, both for the short-term (by improved use of existing technologies and procedures) and for the long-term (by identifying some areas where the state-of-the-art is inadequate and research is therefore needed). Finally, some observations are offered about Internet telephony and the use of the Internet for critical infrastructures

Anxiety Partially Mediates Cybersickness Symptoms in Immersive Virtual Reality Environments

The use of virtual reality (VR) in psychological treatment is expected to increase. Cybersickness (CS) is a negative side effect of VR exposure and is associated with treatment dropout. This study aimed to investigate the following: (a) if gender differences in CS can be replicated, (b) if differences in anxiety and CS symptoms between patients and controls can be replicated, and (c) whether the relationship between exposure to VR and CS symptoms is mediated by anxiety. A sample (N = 170) of participants with different levels of psychosis liability was exposed to VR environments. CS and anxiety were assessed with self-report measures before and after the VR experiment. This study replicated gender differences in CS symptoms, most of which were present before exposure to VR. It also replicated findings that a significant correlation between anxiety and CS can be found in healthy individuals, but not in patients. In a VR environment, anxiety partially mediated CS symptoms, specifically nausea and disorientation. A partial explanation for the differences found between patients and controls may lie in a ceiling effect for the symptoms of CS. A second explanation may be the partial overlap between CS symptoms and physiological anxiety responses. CS symptoms reported at baseline cannot be explained by exposure to VR, but are related to anxiety. Caution is required when interpreting studies on both CS and anxiety, until the specificity in measurements has been improved. Since anxiety mediated the CS symptoms, CS is expected to decline during treatment together with the reduction of anxiety

Effect of virtual reality exposure therapy on social participation in people with a psychotic disorder (VRETp):study protocol for a randomized controlled trial

Background: Many patients with a psychotic disorder participate poorly in society. When psychotic disorders are in partial remission, feelings of paranoia, delusions of reference, social anxiety and self-stigmatization often remain at diminished severity and may lead to avoidance of places and people. Virtual reality exposure therapy (VRET) is an evidence-based treatment for several anxiety disorders. For patients with a psychotic disorder, the VRETp was developed to help them experience exposure to feared social situations. The present study aims to investigate the effects of VRETp on social participation in real life among patients with a psychotic disorder. Methods/design: The study is a single-blind randomized controlled trial with two conditions: the active condition, in which participants receive the virtual reality treatment together with treatment as usual (TAU), and the waiting list condition, in which participants receive TAU only. The two groups are compared at baseline, at 3 months posttreatment and at 6 months follow-up. All participants on the waiting list are also offered the virtual reality treatment after the follow-up measurements are completed. The primary outcome is social participation. Secondary outcomes are quality of life, interaction anxiety, depression and social functioning in general. Moderator and mediator analyses are conducted with stigma, cognitive schemata, cognitive biases, medication adherence, simulator sickness and presence in virtual reality. If effective, a cost-effectiveness analysis will be conducted. Discussion: Results from the posttreatment measurement can be considered strong empirical indicators of the effectiveness of VRETp. The 6-month follow-up data may provide reliable documentation of the long-term effects of the treatment on the outcome variables. Data from pre-treatment and mid-treatment can be used to reveal possible pathways of change

Advances in immersive virtual reality interventions for mental disorders:A new reality?

Immersive virtual reality (VR) has been identified as a potentially revolutionary tool for psychological interventions. This study reviews current advances in immersive VR-based therapies for mental disorders. VR has the potential to make psychiatric treatments better and more cost-effective and to make them available to a larger group of patients. However, this may require a new generation of VR therapeutic techniques that use the full potential of VR, such as embodiment, and self-led interventions. VR-based interventions are promising, but further well-designed studies are needed that use novel techniques and investigate efficacy, efficiency, and cost-effectiveness of VR interventions compared with current treatments. This will be crucial for implementation and dissemination of VR in regular clinical practice

Cost-Effectiveness of Virtual Reality Cognitive Behavioral Therapy for Psychosis:Health-Economic Evaluation Within a Randomized Controlled Trial

Background: Evidence was found for the effectiveness of virtual reality-based cognitive behavioral therapy (VR-CBT) for treating paranoia in psychosis, but health-economic evaluations are lacking. Objective: This study aimed to determine the short-term cost-effectiveness of VR-CBT. Methods: The health-economic evaluation was embedded in a randomized controlled trial evaluating VR-CBT in 116 patients with a psychotic disorder suffering from paranoid ideation. The control group (n=58) received treatment as usual (TAU) for psychotic disorders in accordance with the clinical guidelines. The experimental group (n=58) received TAU complemented with add-on VR-CBT to reduce paranoid ideation and social avoidance. Data were collected at baseline and at 3 and 6 months postbaseline. Treatment response was defined as a pre-post improvement of symptoms of at least 20% in social participation measures. Change in quality-adjusted life years (QALYs) was estimated by using Sanderson et al's conversion factor to map a change in the standardized mean difference of Green's Paranoid Thoughts Scale score on a corresponding change in utility. The incremental cost-effectiveness ratios were calculated using 5000 bootstraps of seemingly unrelated regression equations of costs and effects. The cost-effectiveness acceptability curves were graphed for the costs per treatment responder gained and per QALY gained. Results: The average mean incremental costs for a treatment responder on social participation ranged between €8079 and €19,525, with 90.74%-99.74% showing improvement. The average incremental cost per QALY was €48,868 over the 6 months of follow-up, with 99.98% showing improved QALYs. Sensitivity analyses show costs to be lower when relevant baseline differences were included in the analysis. Average costs per treatment responder now ranged between €6800 and €16,597, while the average cost per QALY gained was €42,030. Conclusions: This study demonstrates that offering VR-CBT to patients with paranoid delusions is an economically viable approach toward improving patients' health in a cost-effective manner. Long-term effects need further research. Trial Registration: International Standard Randomised Controlled Trial Number (ISRCTN) 12929657; http://www.isrctn.com/ISRCTN12929657

Working mechanisms of virtual reality based cbt for paranoia:A randomized controlled trial examining cognitive biases, schematic beliefs and safety behavior

Background: Recently, the efficacy of a novel virtual reality based cognitive behavior therapy (VR-CBT) for paranoia was demonstrated. Cognitive biases, cognitive limitations, negative schematic beliefs and safety behavior have been associated with paranoid ideations and delusions. It is unknown whether VR-CBT affects these associated factors, and how changes in these factors relate to changes in paranoid ideation. Methods: In this multi-center randomized controlled trial patients with a psychotic disorder and paranoia were randomized to VR-CBT (n = 58) or treatment as usual (TAU; n = 58). VR-CBT consisted of maximally sixteen 60-minute individual therapy sessions. Paranoia, safety behavior, schematic beliefs, cognitive biases and limitations were assessed at baseline, post-treatment (at three months) and follow-up (at six months). Mixed model analyses were conducted to study treatment effects. Mediation analyses were performed to explore putative working mechanisms by which VR-CBT reduced paranoia. Results: VR-CBT, but not TAU, led to reductions in jumping to conclusions, attention for threat bias and social cognition problems. Schematic beliefs remained unaffected. The effect of VR-CBT on paranoia was mediated by reductions in safety behavior and social cognition problems. Discussion: VR-CBT affects multiple mechanisms that are associated with paranoid ideation. Although maintaining factors of paranoia are likely to influence each other, targeting safety behavior and social cognitive problems seems effective in breaking the vicious circle of paranoia

Virtual reality based cognitive behavioral therapy for paranoia:Effects on mental states and the dynamics among them

Background: Negative affective processes may contribute to maintenance of paranoia in patients with psychosis, and vice versa. Successful treatment may break these pathological symptom networks. This study examined whether treatment with virtual reality based cognitive behavioral therapy (VR-CBT) for paranoia influences momentary affective states, and whether VR-CBT changes the adverse interplay between affective states and paranoia. Methods: Patients with a psychotic disorder (n = 91) were randomized to 16-session VR-CBT or treatment as usual (TAU). With the experience sampling method (structured diary technique) mental states were assessed for 6–10 days at baseline, posttreatment and 6-month follow-up. Multilevel analysis were performed to establish treatment effects and time-lagged associations between mental states, that were visualized with networks of mental states. Results: Average levels of paranoia (feeling suspicious [b = −032., p = .04], disliked [b = −49., p < .01] and hurt [b = −0.52, p < .01]) and negative affect (anxious [b = −0.37, p = .01], down [b = −0.33, p = .04] and insecure [b = −0.17, p = .03) improved more after VR-CBT than TAU, but positive affect did not. Baseline mental state networks had few significant connections, with most stable connections being autocorrelations of mental states. The interplay between affective states and paranoia did not change in response to treatment. A trend reduction in average intranode connections (autocorrelations) was found after VR-CBT (b = −0.07, p = .08), indicating that mental states reinforce themselves less after treatment. Conclusions: VR-CBT reduced paranoid symptoms and lowered levels of negative affect in daily life, but did not affect the extent to which mental states influenced each other. Findings do suggest that as a result of treatment mental states regain flexibility

Advances in the use of virtual reality to treat mental health conditions

Virtual reality (VR) has emerged as a promising tool in the field of mental health. Central to this technology are immersive environments, which enable exposure to highly controlled virtual experiences that feel real. In this Review, we elaborate on the active elements of immersive experiences and how VR-based treatments work. We provide an overview of developments in the use of VR to treat mental health conditions (anxiety, psychotic symptoms, post-traumatic stress, eating disorders, depression and stress management) with a focus on the core mechanisms that drive effective interventions. Artificial intelligence, biofeedback and gamification are emerging areas of development, and we discuss how they might enhance the accessibility, engagement and effectiveness of psychological treatments. Conducting rigorous studies with user-centred designs in diverse populations is a key research priority. As the use of VR in mental health continues to evolve, addressing ethical and implementation considerations is critical for ensuring ongoing treatment improvements.</p

Self-reported Cognitive Biases Moderate the Associations Between Social Stress and Paranoid Ideation in a Virtual Reality Experimental Study

Introduction: Cognitive biases are associated with psychosis liability and paranoid ideation. This study investigated the moderating relationship between pre-existing self-reported cognitive biases and the occurrence of paranoid ideation in response to different levels of social stress in a virtual reality environment. Methods: This study included 170 participants with different levels of psychosis liability (55 recent onset psychosis, 20 ultrahigh risk for psychosis, 42 siblings of psychotic patients, and 53 controls). All participants were exposed to virtual environments with different levels of social stress. The level of experienced paranoia in the virtual environments was measured with the State Social Paranoia Scale. Cognitive biases were assessed with a self-report continuous measure. Also, cumulative number of cognitive biases was calculated using dichotomous measures of the separate biases, based on general population norm scores. Results: Higher belief inflexibility bias (Z = 2.83, P < .001), attention to threat bias (Z = 3.40, P < .001), external attribution bias (Z = 2.60, P < .001), and data-gathering bias (Z = 2.07, P < .05) were all positively associated with reported paranoid ideation in the social virtual environments. Level of paranoid response increased with number of cognitive biases present (B = 1.73, P < .001). The effect of environmental stressors on paranoid ideation was moderated by attention to threat bias (Z = 2.78, P < .01) and external attribution bias (Z = 2.75, P < .01), whereas data-gathering bias and belief inflexibility did not moderate the relationship. Conclusion: There is an additive effect of separate cognitive biases on paranoid response to social stress. The effect of social environmental stressors on paranoid ideation is further enhanced by attention to threat bias and external attribution bias