A dataset and post-processing method for pointing device human-machine interface evaluation

The evaluation of human-machine interfaces (HMI) requires quantitative metrics to define the ability of a person to effectively achieve their goals using the HMI. In particular, for pointing-device type HMIs such as the computer mouse, an experiment quantifying movement by performing repetitive targ...

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Autores principales: Madou, Rocío, Guerrero, Federico Nicolás, Spinelli, Enrique Mario
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Dataset
Human-Machine Interface
Fitts' Law
Conjunto de datos
Interfaz Humano- Máquina
Ley de Fitts
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160151
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160151
record_format dspace
spelling I19-R120-10915-1601512023-11-14T20:02:34Z http://sedici.unlp.edu.ar/handle/10915/160151 A dataset and post-processing method for pointing device human-machine interface evaluation Un conjunto de datos y método de post-procesamiento para evaluación de interfaz humano-máquina de dispositivos de tipo apuntador Madou, Rocío Guerrero, Federico Nicolás Spinelli, Enrique Mario 2023-10 2023-11-14T17:40:11Z en Ciencias Informáticas Dataset Human-Machine Interface Fitts' Law Conjunto de datos Interfaz Humano- Máquina Ley de Fitts The evaluation of human-machine interfaces (HMI) requires quantitative metrics to define the ability of a person to effectively achieve their goals using the HMI. In particular, for pointing-device type HMIs such as the computer mouse, an experiment quantifying movement by performing repetitive target selections allows defining a useful metric known as throughput (TP) using the Fitts' Law test. In this work, a dataset obtained from an automated protocol application is presented, which is made publicly available through an on-line platform. A post-processing method to obtain performance parameters from the dataset is also presented, and its output is used to validate the data against similar experiments in the literature. La evaluation de interfaces humano-maquina (HMI) requiere métricas cuantitativas para definir la capacidad de una persona para lograr eficazmente sus objetivos utilizando la HMI. En particular, para las HMIs del tipo dispotivo apuntador como el ratón de la computadora, un experimento que cuatifica el movimiento al realizar selecciones repetitivas de objetivos permite definir una métrica util conocida como rendimiento (TP) utilizando la prueba de la Ley de Fitts. En este trabajo, se presenta un conjunto de datos obtenido a partir de la aplicación de un protocolo automatizado, el cual esta disponible publicamente a través de una plataforma en línea. También se presenta un método de post-procesamiento para obtener parámetros de rendimiento a partir del conjunto de datos, y sus resultados se utilizan para validar los datos en comparación con experimentos similares en la literatura. Facultad de Informática Articulo Articulo http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) application/pdf 127-134
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Dataset
Human-Machine Interface
Fitts' Law
Conjunto de datos
Interfaz Humano- Máquina
Ley de Fitts
spellingShingle Ciencias Informáticas
Dataset
Human-Machine Interface
Fitts' Law
Conjunto de datos
Interfaz Humano- Máquina
Ley de Fitts
Madou, Rocío
Guerrero, Federico Nicolás
Spinelli, Enrique Mario
A dataset and post-processing method for pointing device human-machine interface evaluation
topic_facet Ciencias Informáticas
Dataset
Human-Machine Interface
Fitts' Law
Conjunto de datos
Interfaz Humano- Máquina
Ley de Fitts
description The evaluation of human-machine interfaces (HMI) requires quantitative metrics to define the ability of a person to effectively achieve their goals using the HMI. In particular, for pointing-device type HMIs such as the computer mouse, an experiment quantifying movement by performing repetitive target selections allows defining a useful metric known as throughput (TP) using the Fitts' Law test. In this work, a dataset obtained from an automated protocol application is presented, which is made publicly available through an on-line platform. A post-processing method to obtain performance parameters from the dataset is also presented, and its output is used to validate the data against similar experiments in the literature.
format Articulo
Articulo
author Madou, Rocío
Guerrero, Federico Nicolás
Spinelli, Enrique Mario
author_facet Madou, Rocío
Guerrero, Federico Nicolás
Spinelli, Enrique Mario
author_sort Madou, Rocío
title A dataset and post-processing method for pointing device human-machine interface evaluation
title_short A dataset and post-processing method for pointing device human-machine interface evaluation
title_full A dataset and post-processing method for pointing device human-machine interface evaluation
title_fullStr A dataset and post-processing method for pointing device human-machine interface evaluation
title_full_unstemmed A dataset and post-processing method for pointing device human-machine interface evaluation
title_sort dataset and post-processing method for pointing device human-machine interface evaluation
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/160151
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