Is moodables the next great thing in IoT technology?

The term moodables is a type of technology that can be used to detect a person’s mood using voice and social media posts, as well as other data that could indicate a person’s mental state.

One study on moodable technology found that depression is a major cause of disability and that it is linked to suicide risk. However, 25% of major depression patients are still undiagnosed. Previous research has shown that smartphones can detect depression levels by analysing data from the sensors of their phones or their social media posts within a few weeks of enrollment in a study.

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Moodables are also useful in anxiety and depression treatment. They transmit low-intensity currents to the brain which improve mood. There are many other moodables and moodable methods, including skin sensors that detect stress levels and cameras that track facial movements.

Is there any moodable technology available right now?

This raises three concerns about any new technology: Is the technology safe? Are they proven to be accurate? And are they ethical?

Moodable sensor safety

National Center of Biotechnology Information has studied the use of moodable sensors for measuring mental health and to encourage safety in high-risk environments like manufacturing floors. The concept of regular brain doses of moodables transmissions has not been proven conclusive.

It is well-known that cell phone users who use them constantly are at risk from the electromagnetic radiation they emit. Some cross-over to treatments for moodable depression or anxiety that emit radiating radiation from the moodable sensor to brain to influence brain functions is inevitable.

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The proof of concept for Moodable technology

A number of studies were conducted in the 2010s to determine whether moodable sensors can positively impact a variety of mental conditions, from anxiety and depression to sleep disorders.

According to daily ecological momentary assessments, a 2010 study on moodables showed that students feel sad or stressed when there is a decrease in phone calls, SMS messaging and Bluetooth-detected contact.

This study had 15 participants. The accuracy of readings was only 50% after 30 day. However, it improved to 93% accuracy over time with actual machine learning.

The widespread use of moodables remains in the proof-of-concept stage. Although technology companies and researchers have much to do, the potential for information on many conditions and treatment options remains promising.

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Ethical concerns regarding moodables

Privacy is a major ethical concern for patients using moodable technology. Who would have access to their emotions? Patients would have the right to decide which third parties they share or sell their information to. The information could potentially cause harm to patients’ professional or personal reputations. Could it cause harm if technology is used to treat certain conditions?

Legally, as well as from a long-term perspective on healthcare, there are no definitive answers. However, this does not mean that we should stop moodables research or trial studies.

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With depression on the rise we should not delay research to determine the role moodables might play in the journey to mental wellness. Although they may not yet be widely available, moodables have the potential to become the next big thing in IoT.