The scientific
basis of our instruments
An objective assessment of the peer-reviewed literature supporting our virtual reality and artificial intelligence tools: for each activity, what the research demonstrates and the magnitude of the measured effects.
VR reproduces the stimuli, pressure, and choices of competition in a controlled, calibratable, and repeatable environment, where every parameter is measurable. Conversational AI adds continuity, accessibility, and customization. Numbered references refer to the bibliography below; the most relevant evidence for our work is highlighted.
Immersive perceptual-cognitive training
A systematic review of extended reality technologies in sport documents the rapid spread of their use for training perceptual-cognitive skills1.
Decision making and reading the game
Activities · Decision MakingThe goal is to develop perception and cognitive skills—attention, visual observation, anticipation—that improve decision-making ability.2 A systematic review reports that immersive 360° videos and headsets improve decision-making in elite young basketball players.2 A meta-analysis of team sports confirms improvements in on-court performance.4
Perceptual-cognitive training improves performance on the pitch; to maximize its effectiveness, future interventions should present stimuli in virtual reality and include sport-specific responses that reflect real-world game scenarios.
— Meta-analysis of anticipation and decision making in team sports, Behavioral Sciences (2024) [4]Attention and concentration
Activities · Attention and ConcentrationSustained attention and the ability to filter distractors are crucial determinants of performance and can be trained. Three-dimensional multi-object tracking (3D-MOT) is the gold standard for measuring and training dynamic visual attention. Faubert's seminal study showed that professional team athletes learn and track dynamic visual scenes better than semi-professionals and non-athletes.6 Visual tracking speed is also associated with specific performance measures, such as on the basketball court.76; la velocità di tracciamento visivo è inoltre associata a misure di prestazione specifiche, ad esempio sul campo di basket7.
Decision-making accuracy in field passes improved after 3D-MOT training: this is the first evidence of the transfer of non-contextual perceptual-cognitive training to athletes' real-world performance.
— Romeas, Guldner e Faubert, Psychology of Sport and Exercise (2016) [8]Objective assessment: Transfer to cognitive measures such as attention and processing speed is documented7; transfer to competitive performance is debated—Romeas and colleagues reported the first evidence of this in the field8, while subsequent follow-up studies have not replicated it9. For this reason, attention training should be combined with tasks that are as sport-specific as possible.
In terms of concentration and self-regulation, EEG neurofeedback teaches athletes to control their mental states. A systematic review of randomized trials highlights its positive impact on concentration and motor skills10; a larger review confirms improvements in attention, concentration, reaction time, working memory, and emotional regulation11.
Studies show that neurofeedback can lead to faster reaction times, more sustained attention, and better management of emotions, significantly contributing to athletes' performance.
— Narrative review on neurofeedback in precision sports, Sports (2024) [12]Peripheral vision and reaction times
Attività · Visione Periferica e ReattivitàOver 80% of the sensory information processed during competition is visual16. Sports vision—hand-eye coordination, peripheral vision, depth perception, reaction time—is trainable, and improvements translate into a competitive advantage16. A systematic review of 126 studies confirms widespread improvements in athletes' visual abilities15. VR also allows them to be measured objectively.
On the training front, a VR protocol significantly improved reaction time and hand-eye coordination, with gains maintained over time and achieved even with short, intense bouts14.
Stress and anxiety management
A realistic virtual environment generates measurable physiological and psychological stress responses comparable to those of real competition, making it ideal for stress inoculation training17.
The simulated sports stress scenario in virtual reality induces stress responses in athletes comparable to those experienced during a real match: no significant difference between the scores recorded after the VR session and after the match.
— Study on the application of VR to anxiety management, Frontiers (2025) [17]VR also works as a regulatory tool: in a study on female soccer players, a relaxation intervention in VR significantly reduced both cognitive and somatic anxiety compared to baseline and induced stress conditions18.
Imagery and psychophysiological regulation (HRV)
Imagery—the mental simulation of a movement—is one of the most well-established techniques. VR amplifies this practice by providing the sensory environment rather than requiring the athlete to mentally construct it.
Activation control is measurable and trainable through heart rate variability (HRV) biofeedback. A meta-analysis of 58 studies places HRV biofeedback among the interventions with the greatest effects on anxiety, depression, and athletic performance19; reviews of athletic populations confirm it as effective, safe, and easy to learn21, and a recent Bayesian meta-analysis reaffirms its benefits, especially in cognitively demanding disciplines20.
AI as a mental coach
Between sessions, conversational AI offers listening support, structured exercises, pattern retrieval, and support in recognizing and addressing performance obstacles. Below is an objective evaluation of the effectiveness of these systems.
Effectiveness of conversational agents
The evidence base is robust. A systematic review and meta-analysis of npj Digital Medicine—over 7,800 screened studies, 15 randomized controlled trials—found significant reductions in symptoms24. A second meta-analysis of RCTs confirms its efficacy on depression, anxiety, and distress25. In young people aged 12–25, the effect on depressive symptoms is moderate to large26.
AI-based conversational agents significantly reduced symptoms of depression (g = 0.64) and psychological distress/distress (g = 0.70) compared to control conditions.
— Li, Zhang, Lee, Kraut & Mohr, npj Digital Medicine (2023) [24]The Digital Therapeutic Alliance
The quality of the bond and agreement on goals is one of the strongest predictors of the outcome of a psychological process. Research shows that users develop a working bond with conversational agents comparable to that observed in face-to-face therapy27, accepting its limitations while perceiving a genuine connection28.
AI in sports psychology
In the sports field, AI is described as a transformative paradigm, capable of contributing to the identification of talent and the prediction of performance and well-being, with approaches that focus on the individual athlete.29 A narrative review confirms the potential of AI in personalizing training and supporting monitoring.31
Factor analysis identified four key dimensions of AI coach attributes: knowledge transfer, goal-oriented persistence, recognition and appreciation, and motivational support.
— Pilot study on AI-based sports coaches, Frontiers in Sports and Active Living (2025) [30]Recognizing and overcoming barriers to performance
Continuous monitoring is one of the most important functions. Wearable devices combined with AI analysis track physiological signals—heart rate variability, sleep, stress indicators—providing a picture that would be difficult to see in real time32. The literature on psychological screening and tracking indicates that digital platforms and machine learning are useful for identifying early signs of distress32. It is in this space that AI helps athletes recognize a block, a decline in motivation, or a pattern of pre-competition anxiety and develop strategies to overcome it.
Scientific references
Systematic reviews, meta-analyses, and peer-reviewed experimental studies. Links direct to the original source.
- The Use of Extended Reality Technologies in Sport Perceptual-Cognitive Skill Research: A Systematic Scoping Review. (2024). pmc.ncbi.nlm.nih.gov/articles/PMC11607248
- Application of virtual simulation technology in sports decision training: a systematic review. Frontiers in Psychology (2023). doi:10.3389/fpsyg.2023.1164117. frontiersin.org
- Sports training in virtual reality with a focus on visual perception: a systematic review. Frontiers in Sports and Active Living (2025). doi:10.3389/fspor.2025.1530948. frontiersin.org
- Zhu, R., Zheng, M., Liu, S., Guo, J., & Cao, C. (2024). Effects of Perceptual-Cognitive Training on Anticipation and Decision-Making Skills in Team Sports: A Systematic Review and Meta-Analysis. Behavioral Sciences, 14(10), 919. pmc.ncbi.nlm.nih.gov/articles/PMC11505547
- Advancements in virtual reality for performance enhancement in combat sports: a mini-review and perspective. Frontiers in Psychology (2025). doi:10.3389/fpsyg.2025.1563212. frontiersin.org
- Faubert, J. (2013). Professional athletes have extraordinary skills for rapidly learning complex and neutral dynamic visual scenes. Scientific Reports, 3, 1154. nature.com/articles/srep01154
- Three-dimensional multiple object tracking (3D-MOT) performance in young soccer players: Age-related development and training effectiveness. PLOS ONE (2025). doi:10.1371/journal.pone.0312051. journals.plos.org
- Romeas, T., Guldner, A., & Faubert, J. (2016). 3D-Multiple Object Tracking training task improves passing decision-making accuracy in soccer players. Psychology of Sport and Exercise, 22, 1–9. doi:10.1016/j.psychsport.2015.06.002. sciencedirect.com
- No transfer of 3D-Multiple Object Tracking training on game performance in soccer: A follow-up study. Psychology of Sport and Exercise (2024). sciencedirect.com
- Evaluating EEG neurofeedback in sport psychology: a systematic review of RCT studies for insights into mechanisms and performance improvement. Frontiers in Psychology (2024). doi:10.3389/fpsyg.2024.1331997. frontiersin.org
- Neurofeedback Training Protocols in Sports: A Systematic Review of Recent Advances in Performance, Anxiety, and Emotional Regulation. Brain Sciences, 14(10), 1036 (2024). mdpi.com/2076-3425/14/10/1036
- Improving Mental Skills in Precision Sports by Using Neurofeedback Training: A Narrative Review. Sports, 12(3), 70 (2024). mdpi.com/2075-4663/12/3/70
- Visual attention and response time to distinguish athletes from non-athletes: A virtual reality study. PLOS ONE (2025). doi:10.1371/journal.pone.0324159. journals.plos.org
- How Does Virtual Reality Training Affect Reaction Time and Eye–Hand Coordination? … in Amateur Esports Athletes. Applied Sciences, 15(8), 4346 (2025). mdpi.com/2076-3417/15/8/4346
- Training vision in athletes to improve sports performance: a systematic review of the literature. Int. Review of Sport and Exercise Psychology (2024). doi:10.1080/1750984X.2024.2437385. tandfonline.com
- Awareness, Perceived Importance and Implementation of Sports Vision Training. (2025). pmc.ncbi.nlm.nih.gov/articles/PMC12567578
- The possible application of virtual reality for managing anxiety in athletes. Frontiers (2025). pmc.ncbi.nlm.nih.gov/articles/PMC11882861
- The Effectiveness of Virtual Reality on Anxiety and Performance in Female Soccer Players. Sports, 9(12), 167 (2021). doi:10.3390/sports9120167. mdpi.com/2075-4663/9/12/167
- Lehrer, P., et al. (2020). Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysis. Applied Psychophysiology and Biofeedback. researchgate.net/publication/341254440
- The effects of biofeedback training on athletes' mental health and performance: a systematic review and Bayesian meta-analysis. Frontiers in Psychology (2025). doi:10.3389/fpsyg.2025.1662868. frontiersin.org
- Pagaduan, J. C., Chen, Y. S., Fell, J. W., & Wu, S. S. X. (2020). Can Heart Rate Variability Biofeedback Improve Athletic Performance? A Systematic Review. Journal of Human Kinetics, 73, 103–114. pubmed.ncbi.nlm.nih.gov/32774542
- Simonsmeier, B. A., Andronie, M., Buecker, S., & Frank, C. (2021). The effects of imagery interventions in sports: a meta-analysis. Int. Review of Sport and Exercise Psychology, 14(1), 186–207. doi:10.1080/1750984X.2020.1780627. tandfonline.com
- The Effects of Imagery Practice on Athletes' Performance: A Multilevel Meta-Analysis with Systematic Review. Behavioral Sciences, 15(5), 685 (2025). mdpi.com/2076-328X/15/5/685
- Li, H., Zhang, R., Lee, Y.-C., Kraut, R. E., & Mohr, D. C. (2023). Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. npj Digital Medicine, 6, 236. doi:10.1038/s41746-023-00979-5. nature.com/articles/s41746-023-00979-5
- He, Y., et al. (2023). Conversational Agent Interventions for Mental Health Problems: Systematic Review and Meta-analysis of Randomized Controlled Trials. J. Medical Internet Research, 25, e43862. doi:10.2196/43862. pmc.ncbi.nlm.nih.gov/articles/PMC10182468
- Effectiveness of AI-Driven Conversational Agents in Improving Mental Health Among Young People: Systematic Review and Meta-Analysis. JMIR (2025). pmc.ncbi.nlm.nih.gov/articles/PMC12120367
- Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A. (2021). Evidence of Human-Level Bonds Established With a Digital Conversational Agent. JMIR Formative Research, 5, e27868. doi:10.2196/27868. formative.jmir.org/2021/5/e27868
- Evaluating the Therapeutic Alliance With a Free-Text CBT Conversational Agent (Wysa): A Mixed-Methods Study. Frontiers in Digital Health (2022). doi:10.3389/fdgth.2022.847991. frontiersin.org
- Artificial intelligence in sport psychology: Implications for the identification and development of talent. Psychology of Sport and Exercise (2025). sciencedirect.com
- Fröhlich, M., et al. (2025). Characteristics and perceived suitability of artificial intelligence-driven sports coaches: a pilot study. Frontiers in Sports and Active Living, 7, 1548980. doi:10.3389/fspor.2025.1548980. frontiersin.org
- Artificial intelligence in sport: A narrative review of applications, challenges and future trends. Journal of Sports Sciences (2025). doi:10.1080/02640414.2025.2518694. tandfonline.com
- Balcombe, L., & De Leo, D. (2020). Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review. JMIR. doi:10.2196/22755. pmc.ncbi.nlm.nih.gov/articles/PMC7746225
