An interactive art installation uses facial recognition, palm readings, and AI-generated profiling to explore why people may trust machines that appear to understand them.

By The Grey Ghost

WHAT’S HAPPENING

Australian art studio ENESS has transformed a vintage ATM into an interactive installation called HP*ATM, inspired partly by the fortune-telling machine featured in the 1988 movie Big.

Visitors who participate provide several forms of input, including facial recognition, palm analysis, and responses through physical controls.

The system combines those inputs to produce a personalized psychological profile presented in the style of a poetic horoscope.

But predicting someone’s future isn’t really the point.

ENESS designed the experience to examine how easily people may accept algorithmic assessments when they’re delivered through an engaging and seemingly personalized interface.

WHY IT MATTERS

AI systems increasingly interact with people through conversational assistants, personalized recommendations, biometric technology, and automated assessments.

HP*ATM turns those trends into an experiment in perception: Does an algorithm seem more credible simply because it appears to know something personal about you?

The installation also raises questions about how much personal information people will voluntarily provide when the experience feels entertaining rather than intrusive.

WHO BENEFITS

Artists and Researchers — Interactive AI provides another way to explore how people respond to automated profiling and machine-generated judgments.

AI Experience Designers — The installation demonstrates how interface design and personalization can strongly influence how users perceive technology.

WHO LOSES

Uncritical Trust in Algorithms — The project deliberately challenges the assumption that personalized machine output is necessarily accurate or authoritative.

Traditional Privacy Expectations — As biometric and behavioral inputs become easier to collect, the boundary between entertainment and personal-data collection can become less obvious.

WHAT HAPPENS NEXT

Experiences combining AI, biometrics, personalization, and physical environments are likely to become more common across entertainment, retail, exhibitions, and public spaces.

The larger question may not be whether machines can understand people—but how quickly people begin believing that they do.