Virtual Time Machines

Dodo

Aviary has launched a very cool web-based time machine application, Dodo.

The online application, which works with any browser, allows you to age and de-age people, places and things from any browser. Pick something or someone and see how they would look like in the past or future. You can even change seasons and control many parameters.

"Dodo is incredibly simple to use: Just upload an input picture, choose between different settings that might affect the aging process (i.e. amounts of alcohol and tobacco consumed), set a year and hit generate. Obviously results will vary, but under strenuous laboratory analysis we have found a margin of error of only +-11% (unprecedented performance for time machines in general, let alone web-apps)."

Implications - The consumer fascination with time and aging has persisted throughout decades, and is a commentary on what human being consider beautiful.

Future Glimpse
Web-based applications that allow the user to glimpse into the future based on current data and conditions.
Personal Aging
Personal age progression and regression experiences influenced by individual choices such as the amounts of alcohol and tobacco consumed.
Alternative Reality
Web applications that allow for a personalized and controlled experience of reality, where users can witness alternative past or future events and environments.

Sectors Adopting This

Entertainment
The entertainment industry can leverage virtual time machines to offer interactive and immersive experiences that allow users to control their own aging process.
Fashion
The fashion industry can use personalized aging and de-aging experiences to offer customers a glimpse of how certain looks will age over time.
Travel and Tourism
The travel and tourism industry can use virtual time machines to offer customers personalized historical tours and experiences, also offering a look into the possible future of historic sites.
SCORE
4.0 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 30%
Activity 82%
Freshness 8%

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