A Dataset and Post-Processing Method for Pointing Device Human-Machine Interface Evaluation

MADOU, ROCÍO; GUERRERO, FEDERICO N.; SPINELLI, ENRIQUE M.

Journal of Computer Science and Technology

Prebi-SEDICI

Año: 2023 vol. 23

1666-6046

The evaluation of human-machine interfaces (HMI)requires quantitative metrics to define the ability ofa person to effectively achieve their goals using theHMI. In particular, for pointing-device type HMIs suchas the computer mouse, an experiment quantifyingmovement by performing repetitive target selectionsallows defining a useful metric known as throughput(TP) using the Fitts’ Law test. In this work, a datasetobtained from an automated protocol application ispresented, which is made publicly available throughan on-line platform. A post-processing method toobtain performance parameters from the dataset is alsopresented, and its output is used to validate the dataagainst similar experiments in the literature.