IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm
- URL: http://arxiv.org/abs/2205.09534v1
- Date: Thu, 19 May 2022 12:57:55 GMT
- Title: IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm
- Authors: Jonathan Grizou
- Abstract summary: IFTT-PIN is a self-calibrating version of the PIN-entry method introduced in Roth et al. 2004.
It infers both the user's PIN and their preferred button-to-color mapping at the same time, a process called self-calibration.
We present online interactive demonstrations of IFTT-PIN, with and without self-calibration.
- Score: 4.111899441919164
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: IFTT-PIN is 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 thus 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. The button-to-color mapping only exists in the
user's mind and is never directly communicated to the interface. In other
words, IFTT-PIN infers both the user's PIN and their preferred button-to-color
mapping at the same time, a process called self-calibration. In this paper, we
present online interactive demonstrations of IFTT-PIN (available at
https://github.com/jgrizou/IFTT-PIN), with and without self-calibration, and
introduce the key concepts and assumptions making self-calibration possible. We
review related work in the field of brain-computer interface and further
propose self-calibration as a novel approach to protect users against shoulder
surfing attacks. Finally, we introduce a vault cracking challenge as a test of
usability and security that was informally tested at our institute. With
IFTT-PIN, we wish to demonstrate a new interactive experience where users can
decide actively and on-the-fly how to use an interface. The self-calibration
paradigm might lead to novel opportunities for interaction in other
applications or domains. We hope this work will inspire the community to invent
them.
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