Aggression is a known problem in individuals being cared for in forensic settings, yet the evidence base for its treatment is scarce. Virtual Reality (VR) has been proposed as a promising addition to interventions in forensic settings, as it may increase the motivation among participants, bridge the gap between real life, therapeutic and laboratory experiences, and increase the ecological validity of psychological research. Recently, a new treatment for aggression using VR as the treatment environment, Virtual Reality Aggression Prevention Training (VRAPT), was developed to provide realistic and safe environments for participants to practice aggression management. In its current revised version, VRAPT is conceptualized as a form of cognitive behavioral therapy with its theoretical background in the General Aggression Model. Its purpose is to increase awareness of, and improve control over, one’s own aggression and that of others through social interactions in individually tailored virtual environments. This manuscript describes how the lessons learned from the first randomized controlled trial of VRAPT have been applied to further develop the method and discusses challenges and future directions for VR-assisted treatment of aggression in forensic settings. VRAPT is a new psychological treatment for aggression and the coming years will provide expanded scientific evidence for further developments and adaptations.
BackgroundThe Big Five traits (i.e., openness, conscientiousness, extraversion, agreeableness, and neuroticism: OCEAN) have been suggested to provide a meaningful taxonomy for studying the Dark Triad: Machiavellianism, narcissism, and psychopathy. Nevertheless, current research consists of mixed and inconsistent associations between the Dark Triad and OCEAN. Here we used the Dark Cube (Garcia & Rosenberg, 2016), a model of malevolent character theoretically based on Cloninger’s biopsychosocial model of personality and in the assumption of a ternary structure of malevolent character. We use the dark cube profiles to investigate differences in OCEAN between individuals who differ in one dark character trait while holding the other two constant (i.e., conditional relationships).MethodParticipants (N = 330) responded to the Short Dark Triad Inventory and the Big Five Inventory and were grouped according to the eight possible combinations using their dark trait scores (M, high Machiavellianism; m, low Machiavellianism; N, high narcissism; n, low narcissism; P, high psychopathy; p, low psychopathy): MNP “maleficent”, MNp “manipulative narcissistic”, MnP “anti-social”, Mnp “Machiavellian”, mNP “psychopathic narcissistic”, mNp “narcissistic”, mnP “psychopathic”, and mnp “benevolent”.ResultsHigh narcissism-high extraversion and high psychopathy-low agreeableness were consistently associated across comparisons. The rest of the comparisons showed a complex interaction. For example, high Machiavellianism-high neuroticism only when both narcissism and psychopathy were low (Mnp vs. mnp), high narcissism-high conscientiousness only when both Machiavellianism and psychopathy were also high (MNP vs. MnP), and high psychopathy-high neuroticism only when Machiavellianism was low and narcissism was high (mNP vs. mNp).ConclusionsWe suggest that the Dark Cube is a useful tool in the investigation of a consistent Dark Triad Theory. This approach suggests that the only clear relationships were narcissism-extraversion and psychopathy-agreeableness and that the malevolent character traits were associated to specific OCEAN traits only under certain conditions. Hence, explaining the mixed and inconsistent linear associations in the Dark Triad literature.
Abstract:We investigated the effect of sex on associations between dark traits and time perspective dimensions. Responses by participants (N = 338) to the Short Dark Triad Inventory and the Zimbardo Time Perspective Inventory showed that while sex was involved in different time perspective associations of Machiavellianism, psychopathy, and narcissism, it did not moderate the dark times' strategy.
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