One Metric for All: Calculating Interaction Effort of Individual Widgets

Automating usability diagnose and repair can be a powerful assistance to usability experts and even less knowledgeable developers. To accomplish this goal, evaluating user interaction automatically is crucial, and it has been broadly explored. However, most works focus in long interaction sessions,...

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Detalles Bibliográficos
Autores principales: Grigera, Julián, Gardey, Juan Cruz, Rodríguez, Andrés Santiago, Garrido, Alejandra, Rossi, Gustavo Héctor
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Web usability
Interactivity
Usability refactoring
A/B testing
User interaction metrics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/119016
https://dl.acm.org/doi/10.1145/3290607.3312902
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-119016
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Web usability
Interactivity
Usability refactoring
A/B testing
User interaction metrics
spellingShingle Ciencias Informáticas
Web usability
Interactivity
Usability refactoring
A/B testing
User interaction metrics
Grigera, Julián
Gardey, Juan Cruz
Rodríguez, Andrés Santiago
Garrido, Alejandra
Rossi, Gustavo Héctor
One Metric for All: Calculating Interaction Effort of Individual Widgets
topic_facet Ciencias Informáticas
Web usability
Interactivity
Usability refactoring
A/B testing
User interaction metrics
description Automating usability diagnose and repair can be a powerful assistance to usability experts and even less knowledgeable developers. To accomplish this goal, evaluating user interaction automatically is crucial, and it has been broadly explored. However, most works focus in long interaction sessions, which makes it difficult to tell how individual interface components influence usability. In contrast, this work aims to compare how different widgets perform for the same task, in the context of evaluating alternative designs for small components, implemented as refactorings. For this purpose, we propose a unified score to compare the widgets involved in each refactoring by the level of effort required by users to interact with them. This score is based on micro-measures automatically captured from interaction logs, so it can be automatically predicted. We show the results of predicting such score using a decision tree.
format Objeto de conferencia
Objeto de conferencia
author Grigera, Julián
Gardey, Juan Cruz
Rodríguez, Andrés Santiago
Garrido, Alejandra
Rossi, Gustavo Héctor
author_facet Grigera, Julián
Gardey, Juan Cruz
Rodríguez, Andrés Santiago
Garrido, Alejandra
Rossi, Gustavo Héctor
author_sort Grigera, Julián
title One Metric for All: Calculating Interaction Effort of Individual Widgets
title_short One Metric for All: Calculating Interaction Effort of Individual Widgets
title_full One Metric for All: Calculating Interaction Effort of Individual Widgets
title_fullStr One Metric for All: Calculating Interaction Effort of Individual Widgets
title_full_unstemmed One Metric for All: Calculating Interaction Effort of Individual Widgets
title_sort one metric for all: calculating interaction effort of individual widgets
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/119016
https://dl.acm.org/doi/10.1145/3290607.3312902
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AT garridoalejandra onemetricforallcalculatinginteractioneffortofindividualwidgets
AT rossigustavohector onemetricforallcalculatinginteractioneffortofindividualwidgets
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