# IFTT-PIN: Demonstrating the Self-Calibration Paradigm on a PIN-Entry Task

arXiv: https://arxiv.org/abs/2204.02341 · HTML: https://mlsanity.com/paper/2204.02341/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 7 references that are in the map.
- First posted on arXiv 5 Apr 2022.

## Builds on (most cited first, 1 of 1)

- [Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees](https://mlsanity.com/paper/1701.07213/) (2017)

## Abstract (arXiv)

We demonstrate IFTT-PIN, a self-calibrating version of the PIN-entry method introduced in Roth et al. (2004) [1]. In [1], digits are split into two sets and assigned a color respectively. To communicate their digit, users press the button with the same color that is assigned to their digit, which can be identified by elimination after a few iterations. IFTT-PIN uses the same principle but does not pre-assign colors to each button. Instead, users are free to choose which button to use for each color. IFTT-PIN infers both the user's PIN and their preferred button-to-color mapping at the same time, a process called self-calibration. Different versions of IFTT-PIN can be tested at https://jgrizou.github.io/IFTT-PIN/ and a video introduction at https://youtu.be/5I1ibPJdLHM.