The Ethics and Neuroscience of Measuring Attention
Laerte Finotelli explores the shift of attention from a subjective concept to a business metric and the risks of behavioral data use.
In a discussion on Marketing - The Podcast, Laerte Finotelli examines the ethical and neuroscientific boundaries of measuring attention in the digital landscape. He warns against turning human vulnerabilities into purely commercial metrics.
In a conversation with Bruno Gimenes on Marketing - The Podcast, product coordinator Laerte Finotelli discussed the ethical and neuroscientific implications of turning attention into an objective business metric. Finotelli highlights that global companies, such as Netflix, have placed attention measurement at the core of their commercial strategies, shifting a traditionally subjective concept into the realm of quantifiable metrics.
In the video above, Finotelli details how the technical definition of this resource shapes product and corporate decisions in an episode that also touches on broader metric frameworks and data science. From a biological and psychological standpoint, attention represents the allocation of cognitive effort, ranging from automatic reflexes to sustained focus. "When we talk about attention from a neuroscience and psychology perspective, we are talking about allocating mental resources to something," explains Finotelli, noting that the term spans everything from an instant reaction to a car horn to sustained focus over long periods.
Ethical Boundaries in Behavioral Data Usage
This multiplicity of formats demands conceptual rigor when defining what is actually being measured. According to Finotelli, the industry must be clear about what the term means in each context and, above all, the purpose of tracking it. He warns that measuring attention without ethical guardrails could worsen issues already observed in social media architectures designed for user retention, citing recent regulatory penalties imposed on Meta in Europe over practices targeting teenagers.
The core issue, Finotelli argues, lies in establishing safeguards so data utilization does not exploit vulnerabilities in human behavior. "What are we doing with attention data? Are we exploiting human vulnerability beyond reasonable bounds?" he asks. For Finotelli, the evolution of conversations around attention metrics must prioritize delivering better solutions for people, rather than solely serving isolated corporate agendas.
