Intermittent control as a model of mouse movements
| Autor: | J. Alberto Álvarez Martín, Jörg Müller, Henrik Gollee, Roderick Murray-Smith |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Computer science Speech recognition 05 social sciences Intermittent control Work (physics) Computer Science - Human-Computer Interaction Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Human-Computer Interaction (cs.HC) Human-Computer Interaction 03 medical and health sciences Task (computing) 0302 clinical medicine Position (vector) Control theory Pointer (computer programming) FOS: Electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Divergence (statistics) 050107 human factors 030217 neurology & neurosurgery Reciprocal |
| ISSN: | 1073-0516 |
| Popis: | We present Intermittent Control (IC) models as a candidate framework for modelling human input movements in Human--Computer Interaction (HCI). IC differs from continuous control in that users are not assumed to use feedback to adjust their movements continuously, but only when the difference between the observed pointer position and predicted pointer positions become large. We use a parameter optimisation approach to identify the parameters of an intermittent controller from experimental data, where users performed one-dimensional mouse movements in a reciprocal pointing task. Compared to previous published work with continuous control models, based on the Kullback-Leibler divergence from the experimental observations, IC is better able to generatively reproduce the distinctive dynamical features and variability of the pointing task across participants and over repeated tasks. IC is compatible with current physiological and psychological theory and provides insight into the source of variability in HCI tasks. 42 pages, 26 figures |
| Databáze: | OpenAIRE |
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