Exploring the Effect of Music on User Typing and Identification through Keystroke Dynamics
Lukas Mecke, Assem Mahmoud, Simon Marat, Florian Alt
摘要
This paper explores the relationship between music and keyboard typing behavior. In particular, we focus on how it affects keystroke-based authentication systems. To this end, we conducted an online experiment (N=43), where participants were asked to replicate paragraphs of text while listening to music at varying tempos and loudness levels across two sessions. Our findings reveal that listening to music leads to more errors and faster typing if the music is fast. Identification through a biometric model was improved when music was played either during its training or testing. This hints at the potential of music for increasing identification performance and a tradeoff between this benefit and user distraction. Overall, our research sheds light on typing behavior and introduces music as a subtle and effective tool to influence user typing behavior in the context of keystroke-based authentication.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
相关 Paper
- K-means++ vs. Behavioral Biometrics: One Loop to Rule Them AllParimarjan Negi, Prafull Sharma, Vivek Jain, Bahman BahmaniNDSS 2018 · 被引用 21 次
- Network Detection of Interactive SSH Impostors Using Deep LearningJulien Piet, Aashish Sharma, Vern Paxson, David A. WagnerUSENIX Security 2023
- Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain HealthEmma Ning, Andrea T. Cladek, Mindy K. Ross, Sarah Kabir 等CHI 2023 · 被引用 18 次
- pASSWORD tYPOS and How to Correct Them SecurelyRahul Chatterjee, Anish Athayle, Devdatta Akhawe, Ari Juels 等S&P 2016 · 被引用 68 次
- Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceWendy Haw, Yuan Ren, Kianna Ng, Ahmed Sabbir ArifCHI 2024 · 被引用 4 次
