VibraInput: Two-step PIN entry system based on vibration and visual information

Takuro Kuribara, Buntarou Shizuki, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Current standard PIN entry systems for mobile devices are not safe to shoulder surfing. In this paper, we present VibraInput, a two-step PIN entry system based on the combination of vibration and visual information for mobile devices. This system only uses four vibration patterns, with which users enter a digit by two distinct selections. We believe that this design secures PIN entry, and allows users to easily remember and recognize the patterns. Moreover, it can be implemented on current off-the-shelf mobile devices. We designed two kinds of prototypes of VibraInput. The experiment shows that the mean failure rate is 4.0%; moreover, the system shows good security properties.

Original languageEnglish
Title of host publicationCHI EA 2014
Subtitle of host publicationOne of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages2473-2478
Number of pages6
ISBN (Print)9781450324748
DOIs
Publication statusPublished - 2014 Jan 1
Externally publishedYes
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada
Duration: 2014 Apr 262014 May 1

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
CountryCanada
CityToronto, ON
Period14/4/2614/5/1

Keywords

  • Authentication
  • Mobile devices
  • Privacy
  • Security

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Kuribara, T., Shizuki, B., & Tanaka, J. (2014). VibraInput: Two-step PIN entry system based on vibration and visual information. In CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems (pp. 2473-2478). (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/2559206.2581187