Technological advancement is constantly evolving, and it is also developing in the mental health field. Various applications, often based on virtual reality, have been implemented to carry out psychological assessments and interventions, using innovative human–machine interaction systems. In this context, the LEAP Motion sensing technology has raised interest, since it allows for more natural interactions with digital contents, via an optical tracking of hand and finger movements. Recent research has considered LEAP Motion features in virtual-reality-based systems, to meet specific needs of different clinical populations, varying in age and type of disorder. The present paper carried out a systematic mini-review of the available literature using Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The inclusion criteria were (i) publication date between 2013 and 2020, (ii) being an empirical study or project report, (iii) written in English or Italian languages, (iv) published in a scholarly peer-reviewed journal and/or conference proceedings, and (v) assessing LEAP Motion intervention for four specific psychological domains (i.e., autism spectrum disorder, attention-deficit/hyperactivity disorder, dementia, and mild cognitive impairment), objectively. Nineteen eligible empirical studies were included. Overall, results show that protocols for attention-deficit hyperactivity disorder and autism spectrum disorder can promote psychomotor and psychosocial rehabilitation in contexts that stimulate learning. Moreover, virtual reality and LEAP Motion seem promising for the assessment and screening of functional abilities in dementia and mild cognitive impairment. As evidence is, however, still limited, deeper investigations are needed to assess the full potential of the LEAP Motion technology, possibly extending its applications. This is relevant, considering the role that virtual reality could have in overcoming barriers to access assessment, therapies, and smart monitoring.

Current technological advancements have allowed robots to be successfully employed in the healthcare sector. However, the recently acquired ability of social robots to process social information and act according to it has potentially made them very well suited to support or conduct psychological interventions. The present paper carried out a systematic review of the available literature regarding social-robot-based interventions in psychological domains using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The inclusion criteria were: (i) publication date until 2020; (ii) being an empirical study, master thesis, or project report; (iii) written in English or Italian languages (the two languages spoken by the authors); (iv) published in a scholarly peer-reviewed journal or conference proceedings, or were Ph.D. or master’s theses; and (v) assessed “social robot”-based intervention in psychological domains. Overall, the review showed that three main areas may benefit from social-robot-based interventions: social skills, mood, and wellbeing (e.g., stress and anxiety levels). Interestingly, social robots seemed to have a performance comparable to, and sometimes even better than, human operators. The main, but not exclusive, target of robot-based interventions in the psychological field was children with autism spectrum disorder (ASD). As evidence is, however, still limited and in an embryonic state, deeper investigations are needed to assess the full potential of social robots for the purposes of psychological intervention. This is relevant, considering the role that social robots could have in overcoming barriers to access psychological assessment and therapies.

Current technological development has made the Internet and new technologies increasingly present in people’s lives, expanding their opportunities but also potentially posing risks for dysfunctional use. This study aims to identify psychopathological factors associated with dysfunctional ICT use, extending the evidence beyond the well-established relationships with mood disorders to include personality disorders (i.e., cluster C in particular). A total of 711 participants (75.70% female; Mage = 28.33 years, SD = 12.30) took part in the data collection. Firstly, the results showed positive correlations between higher levels of addictive patterns for the Internet, social networks, smartphones and applications, and video games and higher levels of borderline symptoms as assessed by the Borderline Symptom List 23—Short Version. Moreover, scores reflecting high addictive patterns also positively correlated with general narcissistic traits as indicated by the total score of the Narcissistic Personality Inventory 13—Short Version and those specifically described by its Entitlement/Exploitativeness dimension, as well as with higher levels of almost all the personality traits assessed by the Personality Inventory for DSM 5—Brief Form (i.e., negative affectivity, detachment, disinhibition, and psychoticism). These findings broaden the still scarce body of evidence on the relationship between personality disorders and dysfunctional ICT use, which, however, needs to be further explored.

Research on food-related behaviors has increasingly focused on orthorexia nervosa, but the underlying mechanisms are not fully understood, especially with the rise of new types of healthy foods. This study examines the associations between orthorexic tendencies, as measured by the Orthorexia Nervosa Inventory and ORTO-R, and scores on the Food Neophobias Scale, attitudes toward novel foods, body shape concerns, as assessed by the Body Shape Questionnaire, and drive for muscularity, training adherence, and anabolic steroid use, as measured by the Drive for Muscularity Scale. A total of 306 participants (68.3% female; Mage = 35.4 years, SD = 13.7), who were at least 18 old and fluent in Italian, took part in an online, anonymous data collection. The results revealed mixed associations between ON and the perceived attractiveness or intention to consume novel foods. In contrast, no relationship was found between orthorexia and food neophobia. Additionally, orthorexic dimensions were correlated with greater body shape dissatisfaction (r-scores ranging from 0.44 to 0.52, p < 0.001) and a drive for muscularity (r-scores ranging from 0.43 to 0.57, p < 0.001). Notably, orthorexic scores showed significant positive correlations with thoughts about anabolic steroid use (r-scores ranging from 0.26 to 0.60, p < 0.001) and training adherence (r-scores ranging from 0.39 to 0.53, p < 0.001) in a subsample of people who regularly exercise. Of examined the predictors, body shape concerns and thoughts about anabolic steroid use (ß ranging from 0.21 to 0.55, and R² ranging from 0.43 to 0.57, p < 0.001) were the most robust predictors of orthorexic tendencies. Overall, the findings highlight the complex relationships between orthorexic tendencies, perceptions, and attitudes, as well as body-related concerns, while also providing new insights into their connection to novel foods.

Today’s widespread and increasing access to the Internet and new technologies not only offers great opportunities but also risks for problematic use, whose psychological dynamics need to be understood in depth. This study examines how technology addiction may differentially affect well‐being (i.e., psychological, eudaimonic, and cognitive hedonic) and digital life balance depending on people’s reported levels of online social capital. Seven hundred and eleven participants (75.70% female; Mage = 28.33 years, SD = 12.30) took part in the data collection. Drawing on the Psychology of Harmony and Harmonization framework, the study found that people with high levels of addiction and high levels of online social capital showed higher well‐being scores, as indicated by higher perceptions of life satisfaction and feelings of personal and social success, compared to people with high addiction patterns and low levels of online social capital. In addition, the results also highlighted a better digital life balance in the former group. Overall, the findings point to online social capital as a key factor in unraveling the different dynamics of social media and Internet addiction, showing how it can contribute to ensuring the satisfaction of driving social needs, maintaining better well‐being even in the face of maladaptive behaviors, and ultimately challenging a monolithic concept of new forms of addiction. Indeed, the results suggest the potential existence of distinct types or shades of technological addiction that impact well‐being differently and reflect varying levels of psychological distress, depending on underlying social needs and behaviors.

The coronavirus disease 2019 (COVID-19) pandemic had a meaningful impact on several areas of human activity. With respect to psychological assessment, the requirements to study the fear of vaccination as a means to diminish negative behaviour towards vaccination had been reported. This study aimed to evaluate the factorial invariance of the six-item Vaccination Fear Scale (VFS-6) across individuals and cultures. To achieve this goal, a sample of university students was recruited (n = 2535; mean age = 20.59, SD = 2.04; males: 26.75%, females: 73.25%) from Spain (n = 388; 15.3%), Italy (n = 376; 14.83%), Lebanon (n = 487; 19.21%), Nigeria (n = 561; 22.13%), Turkey (n = 410; 16.17%), and Ukraine (n = 313; 12.34%). The results showed that the most appropriate factorial structure, exhibiting excellent fit indices, was a model with two correlated factors (cognitive symptoms: items 1, 2, and 4; somatic symptoms: items 3, 5, and 6) for both the total sample and individual samples from each country and language (Spanish, Italian, Arabic, English, Turkish, and Ukrainian). Notably, the VFS-6 demonstrated configural, metric, scalar, and strict invariance across sex. Regarding countries and languages, configural invariance was observed between them. Also, metric invariance was observed between Spain, Italy, and Ukraine and between Lebanon, Nigeria, and Turkey, which indicates the presence of two well-differentiated groups of countries and the possibility of inferential analysis between them. Item Response Theory analysis suggested an appropriate level of discrimination and difficulty of the test. These significant findings lay the groundwork for future investigations into vaccination fear across diverse cultural backgrounds, providing valuable insights for addressing vaccination-related concerns worldwide.