The Theory of Mind is a bridge of mental understanding between us and others. Its proper functioning provides opportunities for communication, effective social interaction, development on a cognitive and metacognitive level. The present study aims to examine its developmental stages from infancy to adolescence, as well as the main factors that stimulate or defeat its course. The crucial development of executive skills, language function, and the importance of the role of ICTs is pointed out, as they compensate for the difficulties in the formation of Theory of Mind and promote its continuous improvement throughout an individual's life.

Autism Spectrum Disorder is a complex, heterogeneous disorder that affects perception, information processing, social interaction, verbal, and nonverbal communication, and social, and cognitive behavior. Theory of Mind concerns the observation, understanding of mental states, as well as the interpretation of the behaviors that result from them. The present paper focuses on the interconnection of Mind Theory with the social-emotional, and cognitive development of children with Autism Spectrum Disorder. The research findings give prominence to the existence of an interaction between the Theory of Mind and the function of the individual’s social, emotional, and cognitive skills. Therefore, the limited development of Mind Theory observed in children with autism is associated with deficits in their social, cognitive, and metacognitive mechanisms. As a result, the focused holistic approach to their weaknesses in combination with the use of ICTs is a promising, alternative form of therapeutic approach.

Background/Objectives: The evolution of digital technology enhances the broadening of a person’s intellectual growth. Research points out that implementing innovative applications of the digital world improves human social, cognitive, and metacognitive behavior. Artificial intelligence chatbots are yet another innovative human-made construct. These are forms of software that simulate human conversation, understand and process user input, and provide personalized responses. Executive function includes a set of higher mental processes necessary for formulating, planning, and achieving a goal. The present study aims to investigate executive function reinforcement through artificial intelligence chatbots, outlining potentials, limitations, and future research suggestions. Specifically, the study examined three research questions: the use of conversational chatbots in executive functioning training, their impact on executive-cognitive skills, and the duration of any improvements. Methods: The assessment of the existing literature was implemented using the systematic review method, according to the PRISMA 2020 Principles. The avalanche search method was employed to conduct a source search in the following databases: Scopus, Web of Science, PubMed, and complementary Google Scholar. This systematic review included studies from 2021 to the present using experimental, observational, or mixed methods. It included studies using AI-based chatbots or conversationalists to support executive functions, such as anxiety, stress, depression, memory, attention, cognitive load, and behavioral changes. In addition, this study included general populations with specific neurological conditions, all peer-reviewed, written in English, and with full-text access. However, the study excluded studies before 2021, the literature reviews, systematic reviews, non-AI-based chatbots or conversationalists, studies not targeting the range of executive skills and abilities, studies not written in English, and studies without open access. The criteria aligned with the study objectives, ensuring a focus on AI chatbots and the impact of conversational agents on executive function. The initial collection totaled n = 115 articles; however, the eligibility requirements led to the final selection of n = 10 studies. Results: The findings of the studies suggested positive effects of using AI chatbots to enhance and improve executive skills. Although, several limitations were identified, making it still difficult to generalize and reproduce their effects. Conclusions: AI chatbots are an innovative artificial intelligence tool that can function as a digital assistant for learning and expanding executive skills, contributing to the cognitive, metacognitive, and social development of the individual. However, its use in executive skills training is at a primary stage. The findings highlighted the need for a unified framework for reference and future studies, better study designs, diverse populations, larger sample sizes of participants, and longitudinal studies that observe the long-term effects of their use.

This systematic review aims to investigate the ways in which assistive and developing technologies can help children and adolescents with autism spectrum disorder (ASD) experience less stress and neurophysiological distress. According to recent CDC data, the prevalence of ASD in the United States has climbed to 1 in 36 children. The symptoms of ASD can manifest in a wide range of ways, and the illness itself exhibits significant variations. Furthermore, it has been closely linked to experiencing stress and worry in one’s life, which many people refer to as sensory processing disorder (SPD). SPD is a disorder that describes how people behave when they are exposed to environmental stimuli that they may not normally process by feeling more intense than what is causing them to worry and distress. One of the most significant limiting factors that can prevent someone from engaging in what they need to do in their everyday lives is stress. Individuals with ASD deal with stress on a regular basis, which has a big impact on how they function. In order to address a significant research vacuum concerning the use of assistive and emerging technologies to reduce stress in individuals with ASD, this systematic review aims to investigate performance, measuring techniques, and interventions by gathering data from the past 10 years. In order to determine the research hypothesis, particular research questions, and the inclusion and exclusion criteria for the studies, the research process entails gathering studies through systematic review analysis in accordance with the PRISMA principles. Experimental and observational studies on the use of assistive and emerging technologies for stress and anxiety management in children and adolescents with ASD that were published only in English met the inclusion criteria. Research not directly related to stress and anxiety outcomes, articles published in languages other than English, and research conducted outside of the designated time frame were also excluded. The study’s findings demonstrated that the technologies under examination had beneficial impacts on reducing stress; nonetheless, notable limitations were found that could compromise the replication and generalizability of legitimate and dependable applications in their utilization.

This review will explore the role of executive functions and the impact they have in facilitating the skills of vehicle operation. Executive functions are critical for the decision-making process, problem-solving, and multitasking. They are considered the primary factors in driving cases that demand drivers to react quickly and adapt to certain situations. Based on the PRISMA 2020 guidelines, this study aims to investigate, analyze, and categorize higher mental skills and their qualities directly related to driving. The literature review was performed in the following databases: PubMed, Web of Science, Scopus, and Google Scholar, using the article collections’ snowball search technique. The results suggest that key executive functions like working memory and inhibitory control are closely related to risky behavior and driving errors that lead to accidents. This review adds valuable insight by highlighting the significance of their contribution to future research, driver educational programs, and technology for improving driver safety. Consequently, collecting recent data will contribute to understanding new parameters that influence driving behavior, creating the possibility for appropriate proposals for future research.

Background: Autism spectrum disorder is a multifactorial phenomenon whose genetic, biological, environmental, and nutritional factors outline the heterogeneous phenotype of the disease. A limitation in social connections with others, stereotyped reactions, and specific interests and preferences characterize the behavioral manifestations of a person with autism. Also, weaknesses are found in emotional, cognitive, and metacognitive development, significantly burdening the individual’s quality of life. Lately, it has gained widespread acceptance that the gut microbiome and neurotransmission constitute two decisive etiological factors of autism both in the prenatal period and postnatally. This study aims to investigate data on the interaction between the quantitative and qualitative composition of the gut flora and neurotransmission in humans, as well as their influences on the appearance and progression of the symptoms of autism spectrum disorder. At the same time, it captures the role of digital technology in diagnosing and intervening in autism, which is mainly related to the individual subjects under study. Methods: The current research employs an exploratory review to provide a concise overview of the complex neuronal functions associated with neurotransmitter action and the homeostasis mechanisms that allow the brain and the human body to survive and perform optimally. Results: A review of 111 sources highlighted the connection of dietary habits with synthesizing and releasing neurotransmitters and their influence on the emergence of autism-related behaviors. Conclusions: The literature review’s findings revealed the importance and influence of nutritional factors on neurotransmission performance and behavioral, social, and cognitive development among individuals with autism. Moreover, it is noteworthy that combining a healthy lifestyle and the targeted use of digital tools can improve the intensity of autism symptoms.