The research behind it

Research on play, on simulation, on real-world facts and on respect for children each has its own chapter

It's tempting to say a children's app is "based on research". For Professor Oops that would be too simple, and partly untrue. Research did four different jobs here, at different times, with different strength.

Play. The game is a sheet of paper where everything reacts, with no goals and no way to fail. That came from earlier toys, and the research on how children learn was read afterwards. Much of it fits. Some of it argues against what we may claim.

Simulation. To make wind blow, watercolour dry with a dark rim and drops leave long stains, we read computer graphics and physics papers. A few methods went in by name. Most were cut down to what a tablet can run 60 times a second.

Real facts. Ants, pigeons, a cat and a dog, and a kitchen full of things that melt, brown and burn. Real findings set which way things go. Play sets how fast.

Respect. Before the shop was built, we read the law and the store rules on selling to children. That is where research was applied most directly, line by line.

The game began as a toy, and most of the research on learning was read afterwards

Professor Oops started as a toy, not a lesson. Its first design says it in one line: no goals, scores or failure states. That came from looking at what children already love, such as Kid Pix with its dynamite eraser and falling-sand games, where a few simple rules make endless stories ^{Prior-art 2026}. The learning papers came twelve days later, when we wrote pages for parents.

Much of what we then read fits. Even babies learn more about an object that surprised them, and test it in ways that fit what went wrong ^{Stahl 2015}. Preschoolers given a muddled toy choose to explore it and sort the causes out in free play ^{Schulz 2007}. Children shown one thing a toy can do mostly stick to that one thing ^{Bonawitz 2011}. And promised rewards can dull the wish to draw ^{Lepper 1973, Deci 1999}. The game has no points, stars or streaks, a rule set before we read any of this.

Some of it pushes back hard. Across 164 studies, explicit teaching beat discovery without help ^{Alfieri 2011}, and reviews argue that minimal guidance doesn't teach content ^{Kirschner 2006}. A sandbox on its own is discovery without help. So we never say the game teaches science by itself. The help the research favours comes from a grown-up: the website pairs experiments with a version to do for real in the kitchen.

What the game is engineered for is the part a surprise needs: it holds up when you poke it again. Paint a line of water and light the paper beside it, and the fire is held at the line until its heat has boiled the water off, because fire reads how wet each spot is, whatever made it wet. Try again and it's held again.

Real animals and real kitchens set the direction, and play sets the pace

Before we build an animal or a kitchen substance, we read. Findings like these decide the mechanism: what the animal senses, and which way it moves. The exact numbers are then set by play, on a sheet about 31 by 23 cm, where a cat is the size of a thumb.

Our ants turn toward the side of a trail that smells stronger, by the difference between left and right divided by the total. Researchers measured turns of that same form in Argentine ants ^{Perna 2012}, but our code doesn't name the paper, so we call it a match, not an implementation. Real garden-ant scent lasts about 47 minutes ^{Beckers 1993}. Ours fades many times faster, so a child can watch a trail go within one sitting.

Every temperature in the game hangs on one real number. Paper catches fire at a point on the game's own scale set to mean 230 °C, inside the published 218 to 246 °C ^{Autoignition, Wikipedia}. Checking works both ways. Baking soda in water sits at about pH 8.3 ^{Science Insights}, and the released game let it read pH 10, turning cabbage juice teal-green. In the next update next update it stops at 8.3, and the cabbage goes blue, as it does in a kitchen.

Flies filmed at take-off jump directly away from a looming threat ^{Card 2008}. That paper informed one thing in the game: every startled animal flees straight away from what alarmed it. The other half of the demo below is ours, and no paper behind it: slow movement counts for far less than fast movement. That's what lets a cat creep up on a pigeon.

Every feature can be traced from an idea, through the research, to what you can play

Ideas came first. On the day of the first design, several hundred ideas for messy things a child might do to paper were scored for fun, ease, novelty and "you are never allowed to do that" thrill. Then a rule overrode the scores: only real things a child could really do to paper. That cut the giants and black holes, even the ones that scored highest. The table below has the real scores.

Research came next, where an idea needed it: how the thing behaves, how to compute it cheaply, and how to offer it fairly. The map after the table follows thirteen ideas from start to finish, each with the research it met and the label that research earned.

The game takes each study's direction and claims nothing it hasn't tested

Using research well means knowing where to stop. Each row starts from what a source says or does and ends at what a tablet runs for a child, with the cost stated.