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BoYu Gao

dblp:403/2664 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 77% Usability and user experience research · 23%
Network and information security
1 paper
Biometric security · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Biometric security › biometric authentication
behavioral biometric authentication
0.912025
cLock: Single-Handed Two-Factor Authentication in VR Using Wrist Rotation and Multi-Finger Tapping · ISMAR 2025
Usability and user experience research › security usability
authentication usability
0.312025
cLock: Single-Handed Two-Factor Authentication in VR Using Wrist Rotation and Multi-Finger Tapping · ISMAR 2025

Methods — techniques the papers use, named apart from their topics

wrist rotation · 1.7spatiotemporal feature extraction · 1.7multi-finger tapping · 1.7
YearPublicationVenuePosition
2025 cLock: Single-Handed Two-Factor Authentication in VR Using Wrist Rotation and Multi-Finger Tapping
abstract
As Virtual Reality (VR) devices become increasingly shared among users, there is a pressing need for authentication methods that balance security, usability, and privacy while accommodating VR's unique interaction constraints. This paper presents cLock, a novel single-handed two-factor authentication technique in VR that allows users to enter PINs with multiple cursors on a virtual circular numpad through wrist rotation and finger tapping. We first optimized the UI design of cLock by comparing participants' input performance with different UI parameters. We then extracted spatiotemporal behavioral features of both fingers and palm during PIN entry, which facilitated cLock's authentication algorithm. In the usability evaluation with four input postures, cLock achieved significantly faster authentication speed than laser and touch-based baselines, without sacrificing accuracy. Meanwhile, it was most preferred by participants in terms of privacy, social acceptance and physical effort. A following evaluation of security demonstrated that cLock achieved a deciphering rate of only$1 / 8$of the baselines against shoulder-surfing within 1 m. Even in scenarios of password leakage, cLock could still achieve an FAR of 2.3% and FRR of 3.2% with 20 registered users. A final 11-day study verified the longitudinal stability of cLock.
Xin Yi 0001, BoYu Gao, Hewu Li
ISMAR5