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Review

Augmented, Virtual, and Mixed Reality Assessment and Training for Executive Functions in Children with ADHD: A Scoping Review

by
Leonarda Anna Vinci
1,
Anna Passaro
2 and
Fabrizio Stasolla
2,*
1
Department of Psychology and Health Sciences, Pegaso University of Naples, Centro Direzionale, Isola F2, 80143 Naples, Italy
2
Faculty of Law, Giustino Fortunato University of Benevento, 82100 Benevento, Italy
*
Author to whom correspondence should be addressed.
Information 2026, 17(2), 186; https://doi.org/10.3390/info17020186
Submission received: 6 January 2026 / Revised: 2 February 2026 / Accepted: 5 February 2026 / Published: 12 February 2026
(This article belongs to the Collection Augmented Reality Technologies, Systems and Applications)
Browse Figure
Versions Notes

Abstract

Background: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, motor hyperactivity and verbal and cognitive impulsivity. Impairments in executive functions (EFs), in particular working memory, monitoring and organization of daily life, are frequently observed in children diagnosed with ADHD, and are reflected in behavioural, social-emotional and learning difficulties. The development and use of technologies such as virtual reality (VR), augmented reality (AR) and mixed reality (MR) for ADHD have increased in recent years, using a variety of tools to support including PC, video games, wearable devices and tangible interfaces. Objectives: To systematically map the current state of research on the use of AR, VR and MR technologies to assess and/or enhance EFs in children with ADHD. To evaluate the effects on their quality of life and on families’ and caregivers’ burden reduction. To explore the interventions’ clinical validity. Methods: A scoping review according to PRISMA-ScR guidelines was conducted. A systematic search was carried out in the Scopus and Web of Science databases for studies published between 2015 and 2025. Empirical studies published in English that examined children with ADHD aged <13 years were included. AR-, VR-, or MR-based interventions focused on EF were considered. For each study, the following features were recorded: year and country of publication, design, objectives, EFs considered, technology and hardware used, main results, and limitations. Results: Twenty studies were identified. The most frequently addressed functional domains were sustained and selective visual attention, working memory, and inhibition. Assessment interventions primarily involved the use of a head-mounted display (HMD) in conjunction with the Continuous Performance Test (CPT). Training interventions included immersive VR, serious video games, VR with motor or dual-task training, and MR. The results suggest that VR can enhance cognitive performance and sustained attention; however, longitudinal studies are required to evaluate its long-term effectiveness and integrate emotional skills. Conclusions: The use of these technologies is a promising strategy for the assessment and training of EFs in children with ADHD. These tools provide positive, inclusive feedback and motivating tasks. Nevertheless, larger sample studies and longitudinal follow-ups to confirm the suitability and effectiveness of the technology-based programs are warranted.

1. Introduction

Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopmental disorders in children, with a prevalence ranging from 5.6% to 7.6% [1]. The disorder is frequently diagnosed during childhood, often persisting into adulthood [2], and it is characterized by persistent difficulties in attention, behavioural self-regulation, and response inhibition, resulting in impairments in daily life [3].
As demonstrated in the extant literature [4,5,6,7], children with ADHD exhibit immaturity in executive functions (EFs). EFs can be defined as a set of higher-order cognitive processes used to control and coordinate a wide range of mental processes and everyday behaviors [8,9]. There is a broad consensus that the underlying mechanisms of EFs can be categorized into three overarching domains: response inhibition, working memory (WM; updating), and cognitive shifting/flexibility [10,11]. These domains underpin more complex EFs, such as planning, problem solving, abstract reasoning, and behavioral and emotional self-regulation. A further classification differentiates between cool EF (cEF; cognitive) and hot EF (hEF; emotional) [12]. These dimensions overlap, although they are distinct, forming an integrated system that facilitates goal-oriented behaviors [13,14].
According to this distinction, cEFs function in emotionally neutral situations and require purely cognitive processes to solve abstract and decontextualized problems, such as Go/No Go tasks [15] or n-back tasks [16]. In contrast, hEFs are active in socially and emotionally significant situations, as well as in the choice between immediate gratification and greater long-term reward. These include the capacity to regulate emotions, make decisions, control impulses, and assess risk, as exemplified in tasks involving delayed gratification [17].
In children with ADHD, EFs deficits impair not only academic and social functioning, but also the management of daily activities and novel or complex task [17]. For this reason, they represent a key element in neuropsychological assessments and targeted clinical [18,19,20]. The assessment of EFs in ADHD is predominantly reliant upon the utilization of paper-based neuropsychological tests, questionnaires and subjective observation. Standard treatment includes behavioural therapy, paper-based and/or computer-based cognitive training, video games, mindfulness, exercise and pharmacological treatment (e.g., methylphenidate) [21]. In recent years, immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) have gained increasing importance. VR can be defined as computer-simulated reality, and is a technology that simulates a three-dimensional (3D) environment in which an individual can fully immerse themselves through virtual agents [22]. AR is a technology that superimposes digital elements onto the real environment. This allows users to interact with virtual objects (e.g., text, images, 3D models) in the real world, thereby enriching it but not replacing it [23,24]. MR combines VR and AR to create a symbiotic environment in which real and virtual objects coexist and interact with each other in real time [25]. The current literature [14,26,27] has drawn attention to the fact that these technologies offer innovative approaches and significant advantages in terms of practicality, ecological validity, behavioural monitoring and experimental control. Traditional cognitive tests have limited ecological validity and poor generalizability because they assess cognitive functions in abstract and structured contexts, risking overestimating the real functional capacities of patients [28]. Immersive VR environments enable the assessment of EFs in realistic everyday settings [29], simulating complex and multitasking situations (e.g., supermarkets or kitchens).
Traditional rehabilitation exercises can be monotonous and reduce treatment adherence. Virtual environments, thanks to gaming elements, a variety of scenarios, and immersive components such as head-mounted displays (HMDs), motion controllers, haptic feedback, and 3D sound environments, improve the sense of presence, motivation, and number of repetitions during rehabilitation [29]. This makes assessments more representative of real-world functioning and facilitates the identification of difficulties that cannot be detected with standardized tests [30]. Standard assessments and laboratory training may be limited by anxiety, poor attention span, and variability in results [31]. Immersive technologies overcome these limitations creating more engaging environments, offering immediate, multimodal feedback and positive reinforcement [32]. Furthermore, the complexity of each task can be the use of sensors and tracking systems [33] and adjusted in real time based on the patient’s performance [34,35].
Virtual environments can simultaneously elicit the cEF and hEF [36], offering realistic multisensory environments that increase attention, motivation, and engagement. The cEF is activated by complex navigation, multitasking, problem solving, and working memory management, while the hEF emerges from immediate rewards, social interactions, impulse control, and frustration tolerance [37,38]. Real-time feedback use allows for modulation of the load on both systems, preventing overload [39,40].
A recent meta-analysis has indicated a significant correlation between VR-based and traditional assessments in measuring distinct aspects of EFs, including cognitive flexibility, attention, and inhibition, despite the high heterogeneity among the studies reviewed [30]. In rehabilitation, moderate-to-vigorous-intensity VR exercises produce positive effects on multiple subdomains of EFs, particularly inhibition, attention, working memory, switching, and planning [41,42]. Indeed, the immersive and motivating nature of user interaction in natural and social contexts induces a greater level of arousal that stimulates inhibitory control and cognitive flexibility skills [43].
In light of the above, this scoping review aims to explore and map the available studies on the use of VR, MR, and AR in the assessment and treatment of EFs in children diagnosed with ADHD. Specifically, it aims to identify the current empirical evidence, areas of application, strengths, limitations, and, finally, outline possible future directions for research and clinical practice.
A previous review has discussed some relevant sections on this topic [44]. This scoping review offers several key points that differ. First, the current work focuses exclusively on the specific domains of dysfunctional EFs and not on the management of other ADHD-related symptoms, such as academic performance. Second, the article focuses on children under the age of 13, highlighting a crucial stage in EFs development [45,46].

2. Methods

The scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [47].
The review protocol was not prospectively registered.
The search was performed using the Web of Science and Scopus databases. Filters and limits were applied to include only full-text English-language publications from 2015 to 2025, in order to examine recent developments of technologies under consideration and their applicability.
The search was limited to empirical studies due to their higher methodological quality.
All sources were last searched on 22 May 2025.
The search strategy combined free-text terms in titles, abstracts, and keywords. Specifically, the search terms included “Attention Deficit Hyperactivity Disorder” (ADHD) and “executive functions” combined with “virtual reality (VR)/augmented reality (AR)/mixed reality (MR)” using Boolean operators (AND/OR).
The EFs under investigation were: namely, attention, working memory, planning, inhibition, cognitive flexibility, problem solving, and emotional regulation.
The term “Neurodevelopmental disorders” was also included among the keywords to avoid excluding relevant studies that, while not focusing exclusively on ADHD, included subgroups of participants with this diagnosis. In a subsequent phase of the review, specific data referring to participants with ADHD were extracted and analysed separately, if clearly identifiable within the study.
Initially, once duplicates were removed, the titles and abstracts of the studies were examined to ensure they met the eligibility criteria. Consequently, articles that were considered to be potentially relevant were subjected to a full-text review. Two reviewers screened titles/abstracts and full texts independently after a calibration exercise; disagreements were resolved by a third reviewer. The data extraction file was initially downloaded in Excel format from the reference databases and subsequently modified according to the specific needs of the review. No automation tools were used during screening. The data extracted included study characteristics (author, year, abstract), study design, type of technology and analysed EFs.
The eligibility criteria are outlined in the following section.

2.1. Inclusion Criteria

Studies meeting the following criteria were included:
  • studies published between 2015 and 2025;
  • studies in English;
  • empirical studies;
  • participants aged <13 years;
  • participants with a confirmed diagnosis of ADHD according to DSM-5 (2013) orDSM-5-TR (2022) or ICD-11 (2019) criteria;
  • use of VR, AR, or MR to assess or improve EFs in individuals with ADHD.

2.2. Exclusion Criteria

Studies were excluded if they had the following characteristics:
  • participants ≥ 13 years of age;
  • participants with suspected ADHD or undergoing diagnostic evaluation;
  • review articles, commentaries, books, editorials, or letters;
  • studies published in languages other than English;
  • papers not relevant to the research objective;
  • studies involving AI, biofeedback techniques, and applied neurophysiology;
  • studies focused only on technological aspects and not on the effects of the assessment or intervention on participants.

2.3. Risk of Bias Assessment

Current guidelines indicate that methodological quality assessment in scoping reviews is optional and primarily descriptive [48]. We considered it appropriate to include an assessment of the methodological quality of the included studies, conducted using the Mixed Methods Appraisal Tool (MMAT) [49], a widely recognised and used tool for critically analysing quantitative, qualitative, and mixed-methods studies.
As the MMAT is applicable exclusively to empirical studies, a post-screening assessment was conducted for all included articles. This assessment focused on the article’s adherence to the research question and the adequacy of data collection procedures. In the context of this scoping review, all studies met basic methodological requirements (see Table 1). The MMAT assigns a quality score of 0, 25, 50, 75, or 100 (with 100 indicating the highest quality). The assessment is based on specific criteria, including selection bias, study design, data collection methods, sample size, intervention integrity, and data analysis.
Overall, the included studies met the MMAT checklist criteria. Ten articles (50%) achieved scores ranging from 75% to 100%, indicating high methodological quality. Six studies (45%) satisfied between 50% and 75% of the criteria, indicating moderate quality. Four studies (5%) were classified as low quality, with a score below 50%. The main methodological limitations were small sample sizes and incomplete control of confounding factors. In particular, studies lacked stratification by age or ADHD subgroup, and provided insufficient consideration of sex/gender differences as well as participants’ socioeconomic and cultural background. Some reporting was insufficient. In several cases, certain criteria were rated as “can’t tell,” suggesting incomplete reporting rather than clear evidence of systematic bias.

3. Results

The study selection process is described in Table S1 (Supplementary Materials).
A total of 499 studies were identified, including 142 duplicates. After reviewing titles and abstracts, 291 articles were excluded, along with the aforementioned reasons. Forty-one articles were reviewed. Of these, 21 articles were excluded (see Figure 1).
The scoping review ultimately included 20 relevant studies, which were selected based on predetermined inclusion and exclusion criteria.
The following information was extracted from the articles: research country, research design, participant characteristics, objectives, technology used, EFs investigated, and main results. A summary of this information is presented in Table 2.
The included studies will be organized and discussed into two broad categories: (1) studies that used immersive technologies to assess EFs in children with ADHD; (2) studies that used these technologies as a rehabilitation intervention.
A total of 20 studies published between 2015 and 2025 from 10 countries were included in the analysis. Of these, 11 studies (55%) assessed EFs, while 9 studies (45%) conducted training interventions. VR was employed in 19 studies, while MR was utilized in a single study. Despite extensive research, no studies using AR that met the inclusion criteria were identified.

3.1. Assessment

Studies assessing EFs in children with ADHD (n = 11) primarily evaluated executive cognitive performance using VR head-mounted display (HMD) technology combined with immersive neuropsychological tests in a virtual environment.
Participants’ behaviour and executive performance were quantified through actions performed with game controllers and through automatic measures with HMDs or eye-tracking data. Integrating VR with eye tracking [60,66] increases the system’s sensitivity in identifying oculomotor markers of attentional control, highlighting greater frequency and duration of gaze shifts toward irrelevant stimuli and enabling real-time detection of distraction.
Negut [61] and, subsequently, Fang [54] reported that the VR based on Continuous Performance Test (CPT) outperformed the traditional CPT in children with ADHD, showing stronger and more significant correlations with conventional neuropsychological measures, particularly in domains of inattention, inhibition, and processing speed. Mühlberger [27] found that unmedicated ADHD children showed more omission errors and slower reaction times than treated, neurotypical ADHD children, highlighting the potential of VR in assessing selective and sustained visual attention.
Immersive virtual classroom environments enhance the ecological and discriminant validity of attentional assessments by closely replicating real classroom conditions. Specific characteristics of virtual environments that influence children’s attentional performance include the presence of a virtual teacher (avatar) [52] and the addition of social cues through visual (pointing gestures) or verbal instructions [55]. These appear to facilitate engagement and improve usability. In particular, the presence of realistic distractors often improves, rather than impairs, the identification of attentional deficits, supporting the ecological validity of immersive VR [56].
Naturalistic and immersive VR tasks are particularly effective in highlighting everyday problematic behaviours related to planning, time tracking, and attention skills.
Serious games and VR-based daily life simulations, such as EPELI (Executive Performance in Everyday Living) [64], show high discriminant and predictive validity in differentiating children with ADHD from neurotypical controls. Task performance correlates with parent-rated executive attention difficulties and ADHD symptom severity, while increased commission and omission errors in everyday VR scenarios, including kitchen and multitasking environments [57], reflect deficits in inhibition and sustained attention.
While working memory and planning performance were sometimes comparable to controls, higher levels of perseveration and reduced cognitive flexibility were consistently observed [62].

3.2. Training

The rehabilitation treatment studies (n = 9) simulated ecologically valid interactive situations for training EFs in children with ADHD. The applications analysed showed wide heterogeneity in terms of level of immersion, type of interaction, and therapeutic objectives. Overall, the main intervention categories were immersive VR systems with HMDs, VR serious games, VR combined with motor training or dual-task training, and mixed reality systems. The interventions lasted 3 weeks to 6 months, with a frequency of 1 to 3 sessions for week. Pre and post intervention outcomes were measured by using neuropsychological tests.
VR-based cognitive training interventions have been demonstrated to predominantly enhance inhibitory processes and attentional control, although the latter has exhibited less consistent outcomes. The benefits appear to be long-lasting, with effects observable even several weeks or months after the end of the intervention, and in some cases comparable to those obtained with pharmacological treatment [50,65,67].
Working memory appears to be particularly sensitive to VR interventions, especially when training includes cognitive or motor components [65,68]. However, the transfer of these improvements to sustained attentional performance appears to be more limited.
VR assessment provides empirical support for the effects of cognitive training. Coleman [53] used a VR-CPT to measure attention and response inhibition in children with ADHD before and after computerized cognitive training with Cogmed Working Memory training, finding that the improvement in WM also transferred to attentional aspects.
Emerging evidence suggests that VR and MR technologies can improve not only basic EFs, but also higher-order executive and socioemotional skills in children with ADHD. Serious games and social VR environments have been associated with improvements in planning, problem solving, and emotional regulation, particularly when scenarios are realistic and include real-time feedback [51,63]. Furthermore, technology-based interventions have shown improvements in selective and sustained visual attention as evidenced by breathing training games [58] and mixed reality eye contact games [59]. These findings underscore the efficacy of hybrid approaches in the rehabilitation of EFs.
The following Table 3 quickly shows which cognitive domains have stronger evidence than others, making it easier to interpret the collected data.

4. Discussion

Children with ADHD exhibit impairments in several EFs components [69,70,71]. Children with ADHD tend to perform a greater number of irrelevant actions, suggesting deficits in inhibitory control and action monitoring mechanisms [28].
In recent years, research on immersive technologies for ADHD has increased [44,72] significantly, proving to be a useful tool for assessing EFs performance in individuals with ADHD, distinguishing them from the neurotypical population. The present review aims to provide an update on the state of the art of interventions for the assessment and rehabilitation of EFs in children with ADHD aged 6 to 13 years, with particular reference to the use of VR, AR, and MR. In this age group, the majority of studies concentrate primarily on the assessment and/or enhancement of sustained attention in simulated and highly controlled contexts. There is a paucity of studies providing an integrated assessment of EFs, including both cognitive and socio-emotional components, using immersive tasks that simulate real-life contexts.
The analysis of the included studies shows that the most frequently investigated EFs include sustained attention, response inhibition, working memory, and planning.
Among the various technological systems, the potential of VR is highlighted, and in the current review, it is the predominant technology.
The included studies agree with the literature showing that VR allows ecologically valid environments, precise monitoring of behavioural responses, and replicable protocols, despite variability in children’s real-world exposure [73].
The potential effectiveness of VR in children with ADHD is highlighted by significant improvements observed in sustained and selective attention, as well as a reduction in impulsivity and average response times. These effects are comparable to those of pharmacological treatment, suggesting that VR may be an effective alternative or supplement to traditional therapies [28,50]. The role of distractors is interesting. Although children with ADHD are generally more distractible, studies show that distractors can temporarily improve attention under controlled conditions [74]. These findings suggest that moderate external stimulation can enhance cognitive performance, thus challenging the traditional approach of eliminating all distractions.
The improvements in EFs observed with immersive technologies can be explained by several interconnected mechanisms: (1) immersion creates a sense of presence, reducing external distractions and promoting sustained attention [75]; (2)the multisensory nature of virtual environments activates multiple perceptual channels simultaneously, compensating for deficits in cortical arousal in line with the Moderate Brain Arousal theory [76]; (3) interactivity provides immediate feedback, thereby enhancing procedural learning, emotional regulation and self-control through interaction with avatars. Practising social skills in a safe environment reduces performance anxiety and allows complex scenarios to be repeated without negative consequences [51]; (4) gamification increases motivation through reward and progression mechanisms, which are crucial for engaging children with ADHD [77]. This allows for longer training sessions with greater ecological validity than traditional paper-and-pencil tests.
This review did not identify any studies investigating the use of AR in relation to ADHD. This was likely due to the filters applied for the search, particularly the age range we focused on. Although some studies on AR were identified, they were excluded because they were not relevant (n = 8), reviews and meta-analyses (n = 5), or studies that combined neurophysiological techniques (n = 2). Further explanations could be traced back to technological limitations, as AR devices (smartphones, tablets, AR glasses) with environmental tracking and digital overlay capabilities have only recently become available for developmental research. Furthermore, the reasons for this gap could explained by safety concerns: while in VR the child is completely isolated from the physical environment (and therefore under control), in AR the child interacts simultaneously with real and virtual elements, increasing the risk of accidents, particularly in children with ADHD and high motor impulsivity [78].
This scoping review identifies key challenges regarding the transfer of gains observed in virtual environments to real-world settings. Only a limited number of studies have systematically examined the retention of these improvements over time or their generalization to non-virtual contexts.
Despite their promising potential, the integration of immersive technologies into routine clinical practice faces significant ethical and practical challenges. The high cost of equipment, particularly for mixed reality systems, limits access to care [79]. Furthermore, the complexity of the devices and the need to manage potential adverse effects (e.g., cybersickness) require clinical supervision and adequately trained personnel, resulting in further increased implementation costs [80].
Although the available evidence suggests that interactive technologies, particularly AR, could improve communication, emotional comfort and the therapeutic alliance in paediatric settings [81,82], significant ethical concerns remain.
These relate to the collection and protection of children’s behavioural and biometric data, as well as potential long-term effects of prolonged screen exposure on visual, postural, and social development [83].
Future research should focus on longitudinal studies that evaluate thepost-intervention effectiveness at 12 and 24 months. Real-world ecological outcome measures should be included, such as academic performance and classroom behaviour assessed by teachers using validated scales, and social functioning evaluated by parents through structured observations or standardized questionnaires. Future studies should implement randomized clinical trials and standardized protocols that specify the duration, frequency, and progression of sessions. It is also necessary to control for confounding biases, such as participant medication status, by stratifying samples or reporting treatment, dosage, and timing of psychostimulants in order to isolate the effects of immersive technologies.
Multicentre studies are also needed to test generalizability across populations, settings, and cultures, and to inform the development of personalized interventions.
An important finding of this review is that most studies have used VR primarily to replicate traditional CPT paradigms in immersive environments, rather than developing new assessment tools that fully exploit the potential of VR. While this approach facilitates comparability withtheexisting literature, it also represents a missed opportunity.
VR facilitates the development of ecologically valid scenarios. The concept of ecological validity [84,85] refers to the extent to which cognitive demands reflect those encountered in everyday life [86], not just visually familiar contexts. Recent studies have begun to explore multi-errand paradigms, such as SmartAction-VR [28], research in this area remains limited.

5. Limitations and Future Research Perspectives

This scoping review has several limitations that could impact the breadth and completeness of its findings.
First, the review was limited to articles published in English, potentially excluding valuable articles; second, studies using artificial intelligence and techniques such as biofeedback, EEG, and neurofeedback were excluded. This has not only reduced the number of studies on VR and, in particular, AR, but also restricted the inclusion of objective measures, limiting data interpretation to behavioural and observational assessments.
Because we were unable to precisely quantify the proportion or number of ADHD participants aged 6–13 years in mixed-sample studies, potentially relevant studies were excluded for mapping EFs interventions.
Despite the strengths of the works mentioned, there are two limitations to consider.
First, the generalizability of the results remains limited due to the small sample size of the studies reviewed and the lack of comparison with a control group in some studies. Only two studies [65,67] conducted a follow-up, making it difficult to assess the actual stability of the results obtained. Furthermore, significant variability in symptom severity was found, likely due to the presence of comorbidity with other disorders and/or medication use.
It is noteworthy that ADHD studies have repeatedly used VR–CPT, thereby constraining the research focus. Finally, given the young age of the participants, the studies could be affected by the novelty and arousal effects of first-time VR use.
In view of the methodological limitations previously referenced, the following recommendations are proposed:
-
greater uniformity among protocols regarding measures (frequency, duration, contexts, pre- and post-intervention tests), types of VR technology, presence or absence of distractors, and the use of control groups;
-
longitudinal studies with large samples to generalize and consolidate the results over time;
-
greater individualized treatment of emotional skills, as virtual environments may not faithfully replicate the wide range of real-world contexts and situations to which children are exposed [87].
Experimental methodologies and randomized controlled trials (RCTs) with samples of 6–13 children could prove particularly useful for increasing the robustness and replicability of the findings.
Were commended that future studies incorporate real-world outcome measures to enhance interpretability and impact. It is further recommended that studies be implemented using VR to investigate alterations in temporal perception [88,89,90]. Temporal perception is understood as a possible diagnostic criterion, and the implementation of VR in this capacity could facilitate the rehabilitation of the aforementioned deficit and associated EFs.

6. Conclusions

In conclusion, the results indicate that VR supports the assessment and rehabilitation of EFs in ADHD. An immersive environment can: (1) target attentional and inhibitory behaviours in more realistic contexts, although the results are inconclusive; (2) offer flexibility and immediate feedback; (3) improve children’s motivation to assess and improve executive difficulties; (4) integrate ecological data with standardized data.
In the absence of the eligible data, it is not possible to make conclusions on the use of AR for this review. Increasing the use of AR is recommended, as it could offer greater advantages in terms of accessibility and transferability of skills to real-world contexts.AR applications can run on common devices such as tablets and smartphones, reducing costs and increasing inclusiveness [91].
The recent literature highlights how AR is a tool capable of inducing cognitive changes. Specifically, following a four-week training period, there was a significant increase in scores on working memory, cognitive flexibility, inhibition, reaction time, and attention when compared to pre-intervention values [92]. Moreover, the enhancements were sustained at a six-month follow-up, indicating the enduring capacity of these methodologies to facilitate cognitive development [93].
VR could also potentially be used in non-laboratory settings such as schools, suitable for training EFs, support the teaching and learning process, and facilitate social interactions by promoting emotional skills [94].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/info17020186/s1, Table S1: PRISMA-ScRchecklist. Reference [47] is cited in the supplementary materials.

Author Contributions

L.A.V. conceived and drafted the paper; A.P. edited and revised the manuscript for methodological issues; F.S. revised the whole process and the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflict of interest.

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Information 17 00186 g001
Figure 1. Flowchart of the studies analysed in this review, according to Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).
Figure 1. Flowchart of the studies analysed in this review, according to Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).
Information 17 00186 g001
Table 1. Mixed Methods Appraisal Tool (MMAT).
Table 1. Mixed Methods Appraisal Tool (MMAT).
First Author, YearScreeningType of StudyMMAT Score% Quality
Bioulac, 2020 [50]✓Randomized
Controlled Trials		4/5100%
Wong, 2024 [51]✓Randomized
Controlled Trials		5/5100%
Cho, 2022 [52]✓Non-Randomize Studies4/5100%
Coleman, 2019 [53]✓Non-Randomize Studies2/550%
Fang, 2019 [54]✓Non-Randomize Studies4/5100%
Eom, 2019 [55]✓Non-Randomize Studies3/575%
Hong, 2022 [56]✓Non-Randomize Studies2/550%
Ju YM, 2024 [57]✓Non-Randomize Studies3/575%
Kim, 2024 [58]✓Non-Randomize Studies3/575%
Kim, 2020 [59]✓Non-Randomize Studies5/5100%
Merzon, 2022 [60]✓Non-Randomize Studies5/5100%
Muhlberger, 2020 [27]✓Non-Randomize Studies5/5100%
Negut, 2017 [61]✓Non-Randomize Studies5/5100%
Pasarín-Lavín, 2024 [62]✓Non-Randomize Studies4/5100%
Schena, 2023 [63]✓Non-Randomize Studies3/575%
Seesjärv, 2022 [64]✓Non-Randomize Studies4/5100%
Shema-Shiratzk, 2018 [65]✓Non-Randomize Studies2/550%
Stokes, 2022 [66]✓Non-Randomize Studies2/550%
Tabrizi, 2020 [67]✓Non-Randomize Studies3/575%
Ou, 2020 [68]✓Quantitative
descriptive studies		3/575%
Screening questionsAre there clear research questions?
Do the collected data allow to address the research questions?
Randomized
Controlled Trial		 Is randomization appropriately performed?
Are the groups comparable at baseline?
Are there complete outcome data?
Are outcome assessors blinded to the intervention provided?
Did the participants adhere to the assigned intervention?
Non-Randomize
Studies		 Are the participants representative of the target population?
Are measurements appropriate regarding both the outcome and intervention (or exposure)?
Are there complete outcome data?
Are the confounders accounted for in the design and analysis?
During the study period, is the intervention administered (or exposure occurred) as intended
Quantitative descriptive Is the sampling strategy relevant to address the research question?
Is the sample representative of the target population?
Are the measurements appropriate?
Is the risk of nonresponse bias low?
Is the statistical analysis appropriate to answer the research question
Table 2. Summary of the reviewed studies.
Table 2. Summary of the reviewed studies.
AuthorsCountryDesignSampleAimsTechnologyEFs DomainFindingsType of Intervention
Bioulac et al. (2020) [50]FranceRandomized Controlled Trial 51 children with ADHD (age = 7–11)To develop and evaluate the effectiveness of a virtual classroom-based cognitive rehabilitation program to improve cognitive distractibility in children with ADHD.The virtual classroom with HMDSustained visual attention;
inhibition		The VR group showed significant improvements in attention and inhibition of correct responses in both the virtual classroom task and the CPT; effects comparable to those of methylphenidateTraining
Cho et al. (2022) [52]Republic of KoreaControlled experimental study within-subjects37 children: 20 ADHD (mean age = 11.85) + 17 control groupTo investigate the correlation between head movements and signals of inattention and hyperactivity, and whether influenced by different social stimuliVR-CPTAttention;
inhibition		In subjects with ADHD, increased “out-of-context” head movement was associated with greater symptom severity. In both conditions, as the social cue increased, irrelevant head movements tended to decrease.Assessment
Coleman et al. (2019) [53] USASingle-group pre and post design15 children (ages = 6–13; mean age = 10.5)Detect classroom improvements in sustained attention and behavioural control after working memory training using a VR-based ecological performance measure.VR with a headsetSustained attention;
impulsivity;
working memory		Post-training improvements in sustained and selective attention
were observed in both standard neuropsychological tests and classroom VR tasks. Working memory training transfers to ecologically valid attention performance		Training
Fang et al. (2019) [54]ChinaBetween-groups design140 children: 63 control group (mean age = 8.17) + 77 ADHD group
(Mean age = 8.34)		Explore the feasibility and availability of VR for evaluating symptoms of ADHDVR with a headsetAuditory and visual attention; impulsion/hyperactivityThe VR application significantly differentiated children with ADHD from the control group in terms of correct responses, incorrect responses, and total time (sustained attention, inhibition, attentional control, and processing speed). The study’s VR test is more sensitive to visual than auditory attention. Performance on the VR test was significantly correlated with scores on conventional clinical tests.Assessment
Eom et al. (2019) [55]Republic of KoreaMixed design38 children: 20 ADHD + 18 TDC (age: 6–17; mean age = 11.85) including
n = 13 ADHD (65%) 12 years		Analyse differences in attentional performance using a VR neuropsychologicalVR-CPTVisual sustained attention;
inhibition		VR-CPT performance correlated significantly with ADHD symptom severity, ADHD group exhibited comparable performance with TDC in the VR-CPT. The presence of a virtual teacher/social cues improved the attention performance of ADHD children.Assessment
Hong et al. (2022) [56]Republic of KoreaBetween-groups design20 children: 11 control group + 9 ADHD group (mean age = 12)Examine the impact of distractors on the sustained
attention of children and adolescents
with ADHD in VR.		VR-RVP with an HMDSustained attention; inhibitionChildren with ADHD performed comparable to controls in the distraction condition, but had poorer VR-RVP performance in the no-distraction condition.
The presence of distractors in the VR-RVP task improved performance in participants with ADHD.		Assessment
Ju et al. (2024) [57]Republic of KoreaCross-sectional between-subjects design38 children: 23 typically developing + 18 developmental disabilities
including 2 ADHD (ages = 7–12 years; mean age = 8.91)		Evaluate the clinical utility of a virtual reality-based kitchen error task to assess functional cognition in children.VKET-CWorking memory;
visual attention;
inhibition;
planification		Children with ADHD committed more errors of omission (inattention) and commission (impulsivity). Although they showed fewer successful trials, they showed longer initial reflection times on some items. A positive relationship was found between task difficulty and the occurrence of commission errors.Assessment
Kim et al. (2024) [58]Republic of KoreaA between subjects design24 children ADHD: 12 experimental group + 12 control group (ages = 8–13; mean age = 10.7)Verify of us in VR to treat visual attention in ADHD subjectsVR games based on breathing trainingVisual attentionThe visual attention of theParticipants improved significantly in omission error, commissionerror better in theexperimental group than in the control groupTraining
Kim et al. (2020) [59]Republic of KoreaPre-post experimental design40 children with ADHD: 20 experimental group+ 20 control group (age = 8–10; mean age = 8.7)Develop and evaluate an MR HMD-based eye-contact training game as a treatment tool for children with ADHDSerious game with MR HMDVisual sustained attention; impulsivityAttention improved significantly, impulsivity partially decreased, and mean response times decreased in the ADHD group.Training
Merzon et al. (2022) [60]FinlandCross sectional73 children (age = 9–13): 37 ADHD group (mean age = 10.5) + 36 control group (mean age = 10.9 years)Develop a naturalistic VR task (EPELI) combined with eye tracking to detect attention deficits in children with ADHD.VR with eye trackingVisual attentionGroup differences in all EPELI parameters. The ADHD group showed poorer performance with a greater number of eye movements, longer fixations, and shorter saccades with smaller amplitudes.Assessment
Muhlberger et al. (2020) [27]GermanyExperimental study between-subjects design128 children: 34 control group (mean age = 12.17) + 68 unmedicated ADHD (mean age = 11.43) +26 medicated ADHD = (mean age = 11.89)To examine differences in CPT performance in a VRC scenario and correlations with standard questionnairesCPT-VRCImpulsivity;
attention		Unmedicated children with ADHD showed greater inattention than both healthy controls and the methylphenidate-medicated group Assessment
Negut et al. (2017) [61]RomaniaMixed design75 children (age = 7–13; mean age = 9.5): 33 ADHD (mean age = 10.24) + 42 control group (mean age = 8.9)Investigating the discriminant validity of a virtual reality-based measure for assessing attention compared to the CPTClinica VR Classroom—CPTSustained and selective visual attentionClinica VR Classroom CPT discriminated between participants with ADHD and healthy controls. Children with ADHD made more errors and had slower reaction times.
Reaction times in VR were slower for both groups.		Assessment
Ou et al. (2020) [68]TaiwanCase study3 children with ADHD (ages = 8–12; mean age = 9.6)Evaluate the use of immersive VR exercise games as a rehabilitation intervention in children with ADHD.Immersive VR gameAttention;
inhibition		Participants showed improvements in attention, especially focused, sustained, and alternating attention. Reduction in impulsive and oppositional symptoms.Training
Pasarín-Lavín et al. (2024) [62]SpainExperimental study181 children: 159neurotypical + 22 neurodivergent
including 7 ADHD (mean age = 13.5)		Toanalyse differences in creativity and EFscomponentsVR: Nesplora Executive Functions—Ice CreamWorking memory; planning; FlexibilityStudents with ADHD performed similarly to controls on working memory and planning, but scored higher on FlexibilityAssessment
Schena et al. (2023) [63]ItalyQuasi-experimental study60 children ADHD (age = 5–12; mean age = 8): 30 experimental group + 30 control groupTo evaluate the efficacy of IAmHero (VR) in improving symptoms and EFsin children with ADHD.Serius games (IAmHero) with VRSelective auditory attention;
sustained visual attention;
planning;
inhibition;
problem solving		Reduction in core ADHD symptoms assessed with standardized instrumentsTraining
Seesjärvi et al. (2022) [64]FinlandExperimental design between subject76 children (ages = 9–12): 38 ADHD (mean age = 10.4) +38 control group (mean age = 10.9)Validate the EPELI VR task to quantify goal-directed behaviour and executive symptoms of ADHD in realistic daily life contexts.EPELI VR task with headsetSelective attentioninhibitionChildren with ADHD performed worse on the EPELI than controls. VR performance was correlated with ADHD symptomatology. The EPELI had good discriminant validity and performed better than conventional neuropsychological tests.Assessment
Shema-Shiratzky et al. (2019) [65]IsraelPilot study, single-group14 children with ADHD (ages = 8–12; mean age = 9.3)Examine the efficacy of a combined motor-cognitive training using VR in non-medicated children with ADHDDual-task treadmill training with a virtual obstacle course. Measurements were collected using the Zeno Walkway and PKMAS systems (ProtoKinetics, Havertown, PA, USA) and Opal 3D accelerometer (APDM, Inc., Portland, OR, USA). The VR system was developed at the Tel Aviv Sourasky Medical Center (Tel Aviv, Israel).Inhibition;
working memory;
flexibility;
planification;
attention		There were significant improvements in EFsand memory, even at the six-week follow-up. There was an improvement in dual-task abilities. There was no significant change in sustained attention or vigilance index.Training
Stokes et al. (2022) [66]USACross-sectional, proof-of-principle observational study20 children with ADHD (ages = 8–12; mean age = 10)Evaluate the temporal dynamics of distraction via eye-tracking measures in a VR classroom settingVR system connected to a headset with integrated eye tracking.Sustained and selective attentionDistractors reduced the tendency to look at the board over time, even when the distractor itself was no longer actively present (up to 10 s later). Distractors interfered with performance regardless of the task being performed. The greater the distraction, the lower the response to the task.Assessment
Tabrizi et al. (2020) [67]IranQuasi-experimental study48 ADHD children (age = 7–12): 16 VR group + 16 medication group + 16; control groupCompare the effectiveness of VR with medication on the memory of ADHD students.VR therapy softwareWorking memoryThere was a significant difference in memory variables between the control and VR groups and the control and medication groups.
Both interventions led to significant improvements in the memory, but VR therapy showed longer-lasting effects than medication		Training
Wong et al. (2024) [51]ChinaRandomized Controlled Trial90 children (ages = 6–12; mean age = 8): 30 VR group + 30 Social VR group + 30 control groupExamine the flexibility and effectiveness of VR-based social skills trainingSocial VR interventionSocial Skills;
inhibition;
emotion regulation		The VR group performed better in social skills, self-control, initiative, and emotional control than the traditional groupTraining
Note. ADHD = Attention-deficit/hyperactivity disorder; EFs = Executive Function; VR = virtual reality; CPT = Continuous Performance Test; TDC = typically developing children; HMD = Head-Mounted Display; VR-RVP = VR Rapid Visual Information Processing task; VKET-C = Virtual Kitchen Executive Task for Children; MR HMD = Mixed Reality Head Mounted Display; EPELI = Executive Performance in Everyday Living; VRC = Virtual Reality Classroom.
Table 3. Interpretive summary table.
Table 3. Interpretive summary table.
Type of InterventionEFs DomainVR ApproachOverall Trend
AssessmentAttentionVR-CPT, classroomStrong evidence
Planning/FlexibilityEPELI, multitasking VREmerging
TrainingInhibitionImmersive VR, serious gamesModerate–strong
Working memoryVR + cognitive trainingModerate
Emotional regulationSocial VR scenariosEmerging
Legend: red = strong evidence; yellow = moderate to moderate–strong evidence; green = emerging evidence.
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Vinci, L.A.; Passaro, A.; Stasolla, F. Augmented, Virtual, and Mixed Reality Assessment and Training for Executive Functions in Children with ADHD: A Scoping Review. Information 2026, 17, 186. https://doi.org/10.3390/info17020186

AMA Style

Vinci LA, Passaro A, Stasolla F. Augmented, Virtual, and Mixed Reality Assessment and Training for Executive Functions in Children with ADHD: A Scoping Review. Information. 2026; 17(2):186. https://doi.org/10.3390/info17020186

Chicago/Turabian Style

Vinci, Leonarda Anna, Anna Passaro, and Fabrizio Stasolla. 2026. "Augmented, Virtual, and Mixed Reality Assessment and Training for Executive Functions in Children with ADHD: A Scoping Review" Information 17, no. 2: 186. https://doi.org/10.3390/info17020186

APA Style

Vinci, L. A., Passaro, A., & Stasolla, F. (2026). Augmented, Virtual, and Mixed Reality Assessment and Training for Executive Functions in Children with ADHD: A Scoping Review. Information, 17(2), 186. https://doi.org/10.3390/info17020186

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