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Improving the Performance of Input Interfaces Through Scaling and Human Motor Models

Bibliographic Data

ID15215959
AuthorsLuis Miguel Muñoz (0000-0003-3680-6957, Universitat Politècnica de Catalunya, corresponding author), Alı́cia Casals (0000-0003-4706-5533, Institute for Bioengineering of Catalonia), Alicia Casals
Year2015
Volume31
Issue5
Pages385-419
Publication date2015-05-26
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2015.1050100
OpenAlexW2216677122
LanguageEN
References cited16

The performance of interfaces is affected by human factors, which vary from one person to another, and by the inherent characteristics of the various devices involved. A set of techniques has been studied in order to improve the efficiency and efficacy of input interface devices. These techniques are based on the modification of the motor scaling factor, a transformation similar to the known Control-Display ratio (CD ratio). Operation time, the accuracy of the task and user workload are the indicators used in this work. By means of models based on the various human motor behaviors, the improvement of such indicators has been demonstrated. Using some common input interface devices, a number of experiments have been carried out to evaluate the presented methodology. The results show that the overall performance of input interfaces is significantly improved by applying such methodology

Factor (programming language · Fitts's law · Human–computer interaction · Interface (matter · Scaling · Set (abstract data type · Simulation · Task (project management · Transformation (genetics · User interface · Workload · Computer Science · Engineering · Interactive and Immersive Displays · Mathematics · Motor Control and Adaptation · Tactile and Sensory Interactions

  • The information capacity of the human motor system in controlling the amplitude of movement.

    Paul M Fitts•Journal of Experimental…•1954

  • Fitts' Law as a Research and Design Tool in Human-Computer Interaction

    I Scott MacKenzie•Human-Computer Interaction•1992

Highly citedNo

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