Nduka suggests that management relies heavily on measurable aspects such as money or speed, but struggles with quantifying quality, which is inherently tied to emotions. According to Nduka, emotions are most accurately perceived through expressions.
The ongoing debate on whether artificial intelligence can understand human emotions continues, with most experts leaning towards skepticism. Even without the latest technologies, interpreting emotions remains complex. Andrew McStay, a professor and director of the Emotional AI Lab at Bangor University, UK, emphasizes that reading emotions through facial expressions is contentious. He argues that while AI might refine data from sensors, it still faces significant challenges in accurately detecting emotions.
Cultural variations further complicate emotional interpretation, as expressions like a smile can have different meanings across cultures. Neurodivergent individuals may also express emotions differently, although Emteq aims to assist them in navigating social interactions.
Strand from Emteq acknowledges these complexities and emphasizes the importance of gathering extensive data. Emteq ensures that its technology is monitored by healthcare professionals to prevent misuse. The intention is for therapists, doctors, or dietary consultants to utilize this data responsibly.
Strand advocates for a thoughtful dissemination of information, involving experts to guide the process. The data’s true value lies in enabling professionals to provide accurate advice, particularly in mental health settings.
In therapy settings, Strand envisions the potential for therapists to have pre-access to a patient’s emotional data, enhancing the discussion of emotional states and identifying areas for improvement.
Despite Emteq’s advancements, their smart glasses must compete with other established wearable technologies offering broader functionalities. There is a possibility that Emteq’s technology could be integrated into more versatile products, similar to Meta’s Ray-Ban smart glasses. McStay notes that such innovations often begin in healthcare before expanding into broader commercial applications.
