Emotion-Predicting Tech

Predictables by Dor Tal Maps Out Developments in Life Events

The art of fortune telling is something that is questioned on a daily basis, yet perhaps people will put more weight in it with the creation of Predictables by Dor Tal, a recent graduate from the Bezalel Academy of Arts and Design who is based in Tel Aviv, Israel. It is essentially a hi-tech fortune teller that display prospective events.

Made up of two components, a projector and an interactive watch, Predictables by Dor Tal corresponds with an app that uses an algorithm to search "for patterns, frameworks and links in the torrent of information that one generates though one's everyday interaction with the surrounding digital world," as written on its website. By doing so, it theoretically can predict developments in different spheres of life including career, romantic relationships, friendships and more.

Fortune-telling Technology
Opportunity for disruptive innovation in merging technology and fortune-telling to predict developments in various aspects of life.
Algorithmic Predictions
Potential for disruptive innovation in utilizing algorithms to analyze patterns and links in digital data for predicting future events.
Interactive Wearable Devices
Disruptive innovation prospect in developing interactive watches or wearables that connect to apps and provide personalized predictions.

Where This Applies

Technology
Opportunity for the technology industry to create and improve fortune-telling applications using data analysis and algorithms.
Psychic Services
Potential for disruptive innovation in the psychic services industry with the integration of technology for more accurate and personalized predictions.
Consumer Electronics
Prospect for disruptive innovation in the consumer electronics industry by developing interactive wearable devices that offer predictive capabilities.
SCORE
4.3 out of 10
GENDER
50% Men50% Women
MARKETTop markets: Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 31%
Activity 89%
Freshness 8%