Finger-Based Pointing Performance on Mobile Touchscreen Devices: Fitts’ Law Fits

  • Sandi LjubicEmail author
  • Vlado Glavinic
  • Mihael Kukec
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9175)


In this paper we investigate the utility of Fitts’ law for predicting the performance of finger-based pointing on mobile touchscreens, by taking into account both different screen sizes and appropriate interaction styles. The experimental design bases on randomly generating pointing tasks in order to provide a wider range of both suitable target sizes and required finger movements, thus targeting a better representation of common pointing behavior with respect to the usual static test design with a smaller set of predetermined tasks. Data obtained from the empirical study was evaluated against Fitts’ law, specifically its revision which defines target size as the smaller dimension of a 2D shape. Results show a strong model fit with our data, making the latter a fair predictor of pointing performance on mobile touchscreen devices. Altogether ten finger-based pointing models are derived, revealing Fitts’ law pragmatic utility regarding various mobile devices, interaction styles, as well as real target sizes commonly found in mobile touchscreen interfaces.


Fitts’ law Pointing performance Mobile devices Touchscreens Finger input 



The work presented in this paper is supported by the University of Rijeka research grant Grant


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of EngineeringUniversity of RijekaRijekaCroatia
  2. 2.Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia
  3. 3.Polytechnic of Medimurje in CakovecCakovecCroatia

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