Modelling smartphone usage: a markov state transition model
作者： Vassilis Kostakos , Denzil Ferreira , Jorge Goncalves , Simo Hosio
关键词:
摘要: We develop a Markov state transition model of smartphone screen use. collected use traces from real-world users during 3-month naturalistic deployment via an app-store. These were used to analytical which can be probabilistically or predict, at runtime, how user interacts with their mobile phone, and for long. Unlike classification-driven machine learning approaches, our interrogated under unlimited conditions, making it suitable wide range applications including more realistic automated testing improving operating system management resources.
oulu.fi
sci-hub.se 参考文章(44)
Guillermo Suarez-Tangil, Mauro Conti, Juan E. Tapiador, Pedro Peris-Lopez, Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models european symposium on research in computer security. ,vol. 8712, pp. 183- 201 ,(2014) , 10.1007/978-3-319-11203-9_11
Rohae Myung, Suk Won Lee, Prediction of Mobile Phone Menu Selection with Markov Chains Journal of Korean Institute of Industrial Engineers. ,vol. 33, pp. 402- 409 ,(2007)
Andrew C. Harvey, Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series ,(2013)
J. R. Norris, Markov Chains Cambridge University Press. ,(1997) , 10.1017/CBO9780511810633
Francis X. Diebold, Joon-Haeng Lee, Gretchen C. Weinbach, Regime switching with time-varying transition probabilities Research Papers in Economics. ,(1993)
Paul Holleis, Albrecht Schmidt, MakeIt: Integrate User Interaction Times in the Design Process of Mobile Applications international conference on pervasive computing. pp. 56- 74 ,(2009) , 10.1007/978-3-540-79576-6_4
Harold Thimbleby, Paul Cairns, Matt Jones, Usability analysis with Markov models ACM Transactions on Computer-Human Interaction. ,vol. 8, pp. 99- 132 ,(2001) , 10.1145/376929.376941
Eeva Kangas, Timo Kinnunen, Applying user-centered design to mobile application development Communications of The ACM. ,vol. 48, pp. 55- 59 ,(2005) , 10.1145/1070838.1070866
Ulrich Burgbacher, Klaus Hinrichs, An implicit author verification system for text messages based on gesture typing biometrics human factors in computing systems. pp. 2951- 2954 ,(2014) , 10.1145/2556288.2557346
Charles Gouin-Vallerand, Neila Mezghani, An analysis of the transitions between mobile application usages based on markov chains ubiquitous computing. pp. 373- 378 ,(2014) , 10.1145/2638728.2641700