The Real World Engagement Attention Dataset (RWEAD) bridges a critical gap in behavioural research by moving beyond constrained laboratory settings and artificial stimuli to capture how people truly engage with the world around them. The RWEAD project is founded on a simple, powerful premise: to understand engagement, we must observe it where it naturally occurs. This dataset is exclusively composed of real-world video recordings, meticulously captured and annotated to document the subtle and overt signals of human engagement. Whether it's a person absorbed in a performance, a group reacting in a social setting, or an individual's focused interaction with technology in a public space, RWEAD provides a window into genuine behavioural responses.

Core Focus:

• Engagement: Measuring the depth of involvement and emotional/cognitive investment in a real-world activity or stimulus.

• Attention: Tracking visual and behavioral focus—where do people look, what captures their gaze, and for how long in unstructured environments?

• Behaviour: Documenting the accompanying physical manifestations —facial expressions, body language, gestures, and interactions that complete the picture of engagement.

Designed for researchers in computer vision, human-computer interaction, psychology, marketing, and AI development, the RWEAD dataset empowers you to build and validate models that are robust, ethical, and applicable to real-life scenarios. Explore the data, discover the annotations, and join us in advancing a more authentic understanding of human behaviour.

The dataset is going to be built in modules, with periodic releases.

Note: PoI - Point of interest or PoE - Point of Engagement, will be considered the same point, except said otherwise.