Exploring the Effect of Music on User Typing and Identification through Keystroke Dynamics
Lukas Mecke, Assem Mahmoud, Simon Marat, Florian Alt
Abstract
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Related papers
- K-means++ vs. Behavioral Biometrics: One Loop to Rule Them AllParimarjan Negi, Prafull Sharma, Vivek Jain, Bahman BahmaniNDSS 2018 · 21 citations
- 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 et al.CHI 2023 · 18 citations
- pASSWORD tYPOS and How to Correct Them SecurelyRahul Chatterjee, Anish Athayle, Devdatta Akhawe, Ari Juels et al.S&P 2016 · 68 citations
- Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceWendy Haw, Yuan Ren, Kianna Ng, Ahmed Sabbir ArifCHI 2024 · 4 citations
