Research and development in socially assistive robotics have produced several novel applications in the care of senior people. However, some are still unexplored such as their use as psychometric tools allowing for a quick and dependable evaluation of human users’ intellectual capacity. To fully exploit the application of a social robot as a psychometric tool, it is necessary to account for the users’ factors that might influence the interaction with a robot and the evaluation of user cognitive performance. To this end, we invited senior participants to use a prototype of a robot-led cognitive test and analyzed the influence of personality traits and user’s empathy on the cognitive performance and technology acceptance. Results show a positive influence of a personality trait, the “openness to experience”, on the human-robot interaction, and that other factors, such as anxiety, trust, and intention to use, are influencing technology acceptance and correlate the evaluation by psychometric tests.

Robotic psychological assessment is a novel field of research that explores social robots as psychometric tools for providing quick and reliable screening exams. In this study, we involved elderly participants to compare the prototype of a robotic cognitive test with a traditional paper-and-pencil psychometric tool. Moreover, we explored the influence of personality factors and technology acceptance on the testing. Results demonstrate the validity of the robotic assessment conducted under professional supervision. Additionally, results show the positive influence of Openness to experience on the interaction with robot's interfaces, and that some factors influencing technology acceptance, such as Anxiety, Trust, and Intention to use, correlate with the performance in the psychometric tests. Technical feasibility and user acceptance of the robotic platform are also discussed.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurobehavioral disorder that is usually diagnosed in childhood. It is characterized by attention deficits, hyperactivity, and impulsivity leading to significant impairment in academic, occupational, familiar, and social functioning. Most of the literature has been focusing on the impact of this condition on infancy and preadolescence, but little is known on its consequences in adulthood. This narrative review addresses this gap by focusing on the studies regarding the schooling outcomes of this population. After identifying the specific clinical and neuropsychological profile of ADHD in adults, this study analyzes their precise needs for effective learning and presents evidence on their academic and occupational achievements. Pharmacological, educational, and rehabilitative factors predicting a positive scholastic and career success are critically reviewed. Finally, this study focuses on the strategies that can improve the learning processes in adults with ADHD by expanding the analysis on executive functions, metacognition, and emotional dysregulation. Schooling outcomes in adults with ADHD, therefore, are conceptualized as a complex measure depending on several variables, like early pharmacological treatment, educational support, neuropsychological intervention, and targeted strategies for life-long learning.

Introduction: The Major Depressive Disorder (MDD) is a mental health disorder that affects millions of people worldwide. It is characterized by persistent feelings of sadness, hopelessness, and a loss of interest in activities that were once enjoyable. MDD is a major public health concern and is the leading cause of disability, morbidity, institutionalization, and excess mortality, conferring high suicide risk. Pharmacological treatment with Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin Noradrenaline Reuptake Inhibitors (SNRIs) is often the first choice for their efficacy and tolerability profile. However, a significant percentage of depressive individuals do not achieve remission even after an adequate trial of pharmacotherapy, a condition known as treatment-resistant depression (TRD).Methods: To better understand the complexity of clinical phenotypes in MDD we propose Network Intervention Analysis (NIA) that can help health psychology in the detection of risky behaviors, in the primary and/or secondary prevention, as well as to monitor the treatment and verify its effectiveness. The paper aims to identify the interaction and changes in network nodes and connections of 14 continuous variables with nodes identified as "Treatment" in a cohort of MDD patients recruited for their recent history of partial response to antidepressant drugs. The study analyzed the network of MDD patients at baseline and after 12 weeks of drug treatment.Results: At baseline, the network showed separate dimensions for cognitive and psychosocial-affective symptoms, with cognitive symptoms strongly affecting psychosocial functioning. The MoCA tool was identified as a potential psychometric tool for evaluating cognitive deficits and monitoring treatment response. After drug treatment, the network showed less interconnection between nodes, indicating greater stability, with antidepressants taking a central role in driving the network. Affective symptoms improved at follow-up, with the highest predictability for HDRS and BDI-II nodes being connected to the Antidepressants node.Conclusion: NIA allows us to understand not only what symptoms enhance after pharmacological treatment, but especially the role it plays within the network and with which nodes it has stronger connections.

The COVID-19 pandemic has caused unprecedented changes in the educational system, requiring students to continually switch between distance and in-person learning conditions. Recent studies have revealed that students experienced severe levels of anxiety in the COVID-19 period. Considering the close relationship that has always linked anxiety to mathematics, the present study explores the differences in the anxiety levels of students towards mathematics during distance or in-person school learning. During the second wave of COVID-19, 405 students, recruited from twelve middle schools of Catania province (Italy), completed an online version of the MeMa questionnaire, answering each item twice and imagining themselves to be, respectively, in distance and in-person learning conditions. The items explored generalized school anxiety, learning and evaluation mathematics anxiety, mental states, and the metacognitive awareness associated with mathematical tasks. The results showed a minor state of anxiety experienced during distance learning. However, the students who preferred to learn mathematics in person revealed less mathematics anxiety and better mental states and metacognitive awareness; the same results were found in those who reported higher math marks and who preferred scientific subjects. It seems that math anxiety is not one of the various flaws that are imputed to distance learning. Our findings encourage a reflection on possible interventions to reduce students’ anxiety by working on motivation and dysfunctional beliefs.