LociMotion: Towards Learning a Strong Authentication Secret in a Single Session

要旨

In this work, we design and evaluate LociMotion, a training interface to learn a strong authentication secret in a single session. LociMotion automatically takes a random password with twelve lowercase letters (56-bit entropy) to generate the training interface. It first leverages users' spatial and visual (declarative) memory by showing them a video clip based on the method of loci, and then consolidates the learning process by having them play a computer game that leverages their motor (procedural) memory. The results of a memorability study with 300 participants showed that LociMotion had a significantly higher recall success rate than a control condition. A second study with 200 participants demonstrated the effectiveness of LociMotion over a period of time (99%, 96%, and 81% recall success rates after 1, 4, and 18 days, respectively). LociMotion offers an alternative to the spaced repetition technique, as it does not require dozens of training sessions.

受賞
Honorable Mention
著者
Jayesh Doolani
UT-Arlington, Arlington, Texas, United States
Matthew Wright
Rochester Institute of Technology, Rochester, New York, United States
Rajesh Setty
University of Central Missouri, Warrensburg, Missouri, United States
S M Taiabul Haque
University of Central Missouri, Warrensburg, Missouri, United States
DOI

10.1145/3411764.3445105

論文URL

https://doi.org/10.1145/3411764.3445105

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Developers / Authentication / Privacy Risks from Children to Adults

[A] Paper Room 12, 2021-05-12 17:00:00~2021-05-12 19:00:00 / [B] Paper Room 12, 2021-05-13 01:00:00~2021-05-13 03:00:00 / [C] Paper Room 12, 2021-05-13 09:00:00~2021-05-13 11:00:00
Paper Room 12
11 件の発表
2021-05-12 17:00:00
2021-05-12 19:00:00
日本語まとめ
読み込み中…