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Technology-based social cognition training improved facial emotion recognition and empathy in adults with schizophrenia-spectrum disordersTechnology training improved social skills in adults with schizophrenia-spectrum disorders in a meta-analysis

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Key Takeaway
Consider technology-based social cognition training for adults with schizophrenia-spectrum disorders, noting moderate-to-high certainty and unexamined long-term efficacy.

A systematic review and meta-analysis assessed the effectiveness of technology-based social cognition training (TBSCT) in adults with schizophrenia-spectrum disorders. The intervention utilized computerized, web-based, or virtual reality formats targeting emotion recognition, theory of mind, or empathy. Data were pooled from 21 studies, comprising 17 in the meta-analysis, though the specific setting was not reported. Methodological quality was rated as moderate to high.

Regarding primary outcomes, TBSCT significantly enhanced facial emotion recognition with a Hedges' g of 0.92 (p < 0.001). For theory of mind, the intervention showed a small effect with a Hedges' g of 0.22 (p = 0.05). Empathy scores improved from pre- to post-intervention with a Hedges' g of 0.58 (p = 0.04). Subgroup analysis indicated that facial emotion recognition benefits were strongest in web-based formats (g = 1.35), followed by virtual reality (g = 0.87) and computerized programs (g = 0.75). Theory of mind gains were significant only among outpatients.

Safety data indicated mild, transient adverse effects with no serious adverse events reported. Dropout rates were comparable between groups, with a risk difference of -0.03 (p = 0.21). The authors note that long-term efficacy was not examined and engagement across diverse psychiatric populations was not optimized. Given these limitations, the interventions are considered safe, feasible, and scalable, supporting clinical implementation.

Researchers analyzed data from 21 studies involving adults with schizophrenia-spectrum disorders to evaluate technology-based social cognition training. These programs used computers, the internet, or virtual reality to help patients recognize emotions, understand others' thoughts, and feel empathy. The analysis included both the meta-analysis of 17 studies and additional systematic review data.

The results showed that the training significantly enhanced facial emotion recognition, with a strong effect size. Improvements were also seen in theory of mind and empathy, though the effect on theory of mind was smaller. Web-based programs appeared to offer the strongest gains for recognizing facial emotions, followed by virtual reality and computerized formats.

Safety data indicated that adverse effects were mild and transient, with dropout rates comparable to other treatments. While the interventions are safe and feasible, readers should remember that this is a meta-analysis of existing studies, not a new clinical trial. The main reason to be careful is that the study did not look at long-term results or how well these tools work for every type of patient.

Readers should take from this that these digital tools are a promising, scalable option for social skill training. They are not a cure, but a supportive tool that may help patients in specific areas of social interaction.

What this means for you:
Technology training improved social skills in adults with schizophrenia-spectrum disorders, but long-term effects remain untested.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
INTRODUCTION: Social cognition deficits, such as impaired emotion recognition, theory of mind (ToM), and empathy are central to schizophrenia-spectrum disorders and predict poor functional outcomes. Conventional therapies often lack scalability. Technology-based social cognition training (TBSCT), using computerized, web-based, or virtual reality (VR) formats, offers an accessible and adaptive solution. METHODS: Following PRISMA guidelines (PROSPEROCRD420251021242), databases including Embase, MEDLINE, Cochrane, CINAHL, Web of Science, and PsycArticles were searched up to May 2025. Eligible randomized or quasi-experimental studies involved adults with schizophrenia-spectrum disorders receiving TBSCT targeting emotion recognition, ToM, or empathy. Methodological quality was assessed using Joanna Briggs Institute tools. Random-effects meta-analyses estimated pooled effect sizes (Hedges' g), with subgroup analyses by technology type, clinical setting, and intervention focus. RESULTS: Twenty-one studies (17 in meta-analysis) met inclusion criteria. TBSCT significantly enhanced facial emotion recognition (FER; g = 0.92, p < 0.001) and showed a small effect on ToM (g = 0.22, p = 0.05); empathy improved pre-post (g = 0.58, p = 0.04). FER benefits were strongest in web-based (g = 1.35), followed by VR (g = 0.87) and computerized programs (g = 0.75). ToM gains were significant only among outpatients. Methodological quality was moderate to high, with mild, transient adverse effects and comparable dropout rates (risk difference = -0.03, p = 0.21). CONCLUSION: TBSCT effectively improves social cognition, particularly emotion recognition in schizophrenia-spectrum disorders. The interventions are safe, feasible, and scalable, supporting clinical implementation. Future studies should examine long-term efficacy and optimize engagement across diverse psychiatric populations.
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