Affect labelling, the practice of identifying and naming one’s emotions, is increasingly recognised as a powerful tool for emotion regulation, especially when integrated with machine learning (ML) for analysing voice notes. This approach is beneficial for individuals with ASD, who often face challenges in recognising and expressing their emotions and for enhancing communication.
The past decade’s research on emotion regulation has shown that labelling your own emotional state produces distress reductions during that process. This has been confirmed recently by MRI scans of Veterans with PTSD and alexithymia which shows conclusively during affect labelling a lowered reactivity of the amygdala which is responsible for processing emotions especially the onset of anger, aggression and anxiety.
Confirmation of the of the utility of affect labelling has been demonstrated amongst a group of 90 adolescents who consciously gauged their emotional state 4 x per day. This resulted in strong improvements in their self-rated symptoms.
Our own studies showed Verenigma modulated emotional dysregulation compared to those who didn’t by 27% reduction of emotional volatility. This pattern of emotion regulation was driven by a 24% narrower range of change of emotional blindness .
Verenigma ML can help identify emotional states from voice recordings. Once these emotions are labelled and fed back to the user, it creates a self-awareness loop.
The Impact of Verenigma on Communication, The Family and Self Regulation
This method serves multiple purposes. Firstly, it provides real-time feedback, allowing individuals to understand their emotional responses in various daily situations. Secondly, it promotes greater emotional clarity, which is crucial for effective emotion regulation. With a clearer understanding of their emotions, individuals with ASD can employ strategies to manage these emotions proactively. As importantly it creates a communication bridge between those ASD persons and those around them.
Over a daily cycle, consistent use of ML-analysed voice notes for affect labelling leads to improved emotional regulation. For instance, recognising early signs of stress or anxiety in one’s voice can prompt interventions that prevent these emotions from escalating.
When there has been a meltdown using Verenigma can help the person navigate themselves into a better place by repeated use. Overall, the regular use of Verenigma brings a protective emotional cloak of clarity and reduced communication stress in relationships. Moreover, such technology can assist in developing better social communication skills, as individuals with ASD might begin to understand how their emotions affect their interaction with others, adjusting their responses in real-time to fit social norms more appropriately.
