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“It’s the most powerful wearable tracking the most important organ in your body.”
Dr. Ramses Alcaide is explaining the electroencephalography (EEG) technology that his company Neurable uses to track activity with its brain-computer interface (BCI). Alcaide is the CEO and co-founder, and notes that a huge problem with EEG sensors is that they are often affixed to bulky, awkward-looking headsets — not exactly something you want to wear out in public. And to him, that’s why the technology hasn’t yet “created the type of impact that they could [on] the world.” Sure, we’ve seen a variety of headbands over the last decade, but those add an additional device to your bag. Alcaide argues there’s a better way to use EEG tech that’s even less intrusive.
Neurable began at the University of Michigan in 2011 where its technology was initially created. The overall platform is an AI system that combines filtering to increase and boost the signal of brain data. The company spun out in 2015 and has been working to bring its EEG-powered tech to “smaller everyday devices,” as Alcaide describes them.
“[It] took a lot of time, but what we’ve been able to do is take what was traditionally these large systems and bring it down to everyday devices using AI,” he says.
2 Distraction Stroop Tasks experiment: The Stroop Effect (also known as cognitive interference) is a psychological phenomenon describing the difficulty people have naming a color when it's used to spell the name of a different color. During each trial of this experiment, we flashed the words “Red” or “Yellow” on a screen. Participants were asked to respond to the color of the words and ignore their meaning by pressing four keys on the keyboard –– “D”, “F”, “J”, and “K,” -- which were mapped to “Red,” “Green,” “Blue,” and “Yellow” colors, respectively. Trials in the Stroop task were categorized into congruent, when the text content matched the text color (e.g. Red), and incongruent, when the text content did not match the text color (e.g., Red). The incongruent case was counter-intuitive and more difficult. We expected to see lower accuracy, higher response times, and a drop in Alpha band power in incongruent trials. To mimic the chaotic distraction environment of in-person office life, we added an additional layer of complexity by floating the words on different visual backgrounds (a calm river, a roller coaster, a calm beach, and a busy marketplace). Both the behavioral and neural data we collected showed consistently different results in incongruent tasks, such as longer reaction times and lower Alpha waves, particularly when the words appeared on top of the marketplace background, the most distracting scene.
Interruption by Notification: It’s widely known that push notifications decrease focus level. In our three Interruption by Notification experiments, participants performed the Stroop Tasks, above, with and without push notifications, which consisted of a sound played at random time followed by a prompt to complete an activity. Our behavioral analysis and focus metrics showed that, on average, participants presented slower reaction times and were less accurate during blocks of time with distractions compared to those without them.
