Classifying Eyes-Free Mobile Authentication Techniques
Flynn Wolf, Adam J. Aviv, Ravi Kuber

TL;DR
This study investigates user accuracy and strategies in eyes-free mobile authentication using PINs and patterns, examining tactile feedback's role and providing insights for designing more secure, eyes-free authentication methods.
Contribution
It offers an initial analysis of user behavior, accuracy, and strategies in eyes-free authentication, highlighting the limited effectiveness of tactile cues and identifying user strategies.
Findings
Users focusing on tactile orientation perform better.
Six user strategies for tactile feedback were identified.
Tactile cues prior to unlocking do not significantly improve accuracy.
Abstract
Mobile device users avoiding observational attacks and coping with situational impairments may employ techniques for eyes-free mobile unlock authentication, where a user enters his/her passcode without looking at the device. This study supplies an initial description of user accu- racy in performing this authentication behavior with PIN and pattern passcodes, with varying lengths and visual characteristics. Additionally, we inquire if tactile-only feedback can provide assistive spatialization, finding that orientation cues prior to unlocking do not help. Measure- ments of edit distance and dynamic time warping accuracy were collected, using a within-group, randomized study of 26 participants. 1,021 passcode entry gestures were collected and classified, identifying six user strategies for using the pre-entry tactile feedback, and ten codes for types of events and errors that occurred…
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Taxonomy
TopicsUser Authentication and Security Systems · Advanced Malware Detection Techniques · Advanced Steganography and Watermarking Techniques
