Doug Evans spent 1,200 days in San Francisco building a juicer. Twelve prototypes. Custom-milled aluminum. Wi-Fi connectivity. An app that logged your vegetable intake. Four tons of pressing force, enough, Evans told reporters, to lift two Teslas off the ground. The machine cost $699 and occupied kitchen counters like sculpture: clean lines, brushed metal, the heft of a thing that meant business. Google Ventures invested. Kleiner Perkins invested. $120 million flowed in from backers who held the device, admired its weight, and saw the future of food.
On April 19, 2017, Bloomberg published a video. A reporter squeezed one of Juicero's proprietary fruit packs with her bare hands. Juice poured into a glass. Same quantity. Same speed. Sometimes faster than the machine.
The $120 million press was unnecessary. The bag already contained juice. The four tons of force, the custom motors, the Wi-Fi handshake that verified a QR code before permitting you to drink, all of it dressed up a function that two human palms performed for free.
Juicero suspended sales five months later. The company collapsed into shorthand for everything wrong with Silicon Valley: a gorgeous machine that solved a problem nobody had, funded by people who confused the look of innovation with the fact of it.
The Why
The bias predates the term. In 1995, researchers Masaaki Kurosu and Kaori Kashimura at the Hitachi Design Center in Tokyo tested 26 variations of an ATM interface. They asked 252 participants to rate each design on ease of use and aesthetic appeal. Participants rated beautiful interfaces as more functional, regardless of whether those interfaces functioned well. The distance between perceived usability and actual usability tracked aesthetic appeal almost perfectly. Kurosu and Kashimura concluded that users could not separate how something looked from how they believed it performed, even when instructed to try.
In 2018, Kerstin Haring and her colleagues at the United States Air Force Academy named the phenomenon. Their paper in IEEE Transactions on Cognitive and Developmental Systems introduced the Form-Function Attribution Bias: the cognitive shortcut where people assess capability based on appearance. Their research focused on robots. A humanoid robot drew assumptions of social intelligence. An industrial-looking robot drew assumptions of physical strength. The expectations bore no relationship to actual engineering. People saw the form and filled gaps in knowledge with guesses drawn from what they could see.
When Apple released the first iPod in October 2001, reviewers handled its white polycarbonate casing and scroll wheel and called it revolutionary. Creative Labs had shipped the Nomad Jukebox a year earlier with more storage capacity and a lower price. The Nomad looked like a portable CD player. The iPod looked like the future. By October 2004, Apple held over 90% of the hard-drive-based music player market in the United States. The Nomad carried more function. The iPod carried more form. Form won.
For creatives, the Form-Function Attribution Bias cuts both directions. You fall for it when evaluating tools, platforms, collaborators, and competitors. Your audience falls for it when evaluating your work. The photographer who prints her portfolio on heavy cotton stock gains perceived competence she may or may not deserve. The songwriter who records in a professional studio gets credited with talent the lo-fi bedroom artist does not, even when the songs carry identical craft.
