
We all know the feeling — when we listen to or read something presented in a monotone way, it’s easy to lose focus or even fall asleep. In contrast, when information includes variation, emphasis, or highlights, our attention and alertness tend to increase. But why does this happen? Does the brain actually perceive monotone and highlighted stimuli differently?
In this part, we’ll focus on monotonous stimuli.

When discussing monotone input, it’s important to understand the concept of habituation. Habituation refers to a gradual decrease in response when a stimulus is repeated. On a neural level, it is associated with reduced brain activity in response to continuous or unchanging stimulation — a process known as neural adaptation. This mechanism helps the brain filter out irrelevant, repetitive input so that it can better detect and respond to new or important changes in the environment.

Research shows that repetitive stimuli can even reduce oxygen levels in certain brain areas involved in processing them. When external input is minimal or monotonous, the brain often shifts into an “idle mode.” During this state, people tend to experience boredom, attention networks become less active, and dopamine levels drop.
From a practical perspective, this means that the way content is presented can strongly influence how it is received. If the goal is to create a calming or sleep-inducing effect, monotone audio or visual stimuli can be effective. However, if the goal is to maintain engagement and alertness, such monotony should be avoided.
At Moveo One, we study how subtle variations in digital stimuli — such as color, motion, or tone — influence user attention and engagement. Our predictive models analyze how monotony, repetition, and sensory contrast shape behavior in real time. By detecting patterns of cognitive habituation, Moveo One helps teams predict when users are likely to lose focus — and design interactions that re-engage them before they drop off.
Literature:
https://pubmed.ncbi.nlm.nih.gov/22847930/
https://pmc.ncbi.nlm.nih.gov/articles/PMC10377027/


