Predicting Interaction Effort in Web Interface Widgets
- Autores
- Gardey, Juan Cruz; Grigera, Julián; Rodríguez, Andrés; Rossi, Gustavo Héctor; Garrido, Alejandra
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The product of good design should render a tool invisible for a user who is executing a task. Unfortunately, web applications are often far from invisible to users, who struggle with poor design of websites and processes in them. We are particularly interested in web processes that involve form filling, so we have been studying how people interact with web forms. Besides cataloguing user interaction problems that are common in web forms, we have noticed that, in many cases, there is a single form element or widget to blame for a certain interaction problem, because such widget is not the most appropriate one for the required input in that particular context. This unfitness of the widget causes an extra burden to the user, which we call interaction effort. In this work we propose measuring the interaction effort of a widget with a unified score based on micro-measures automatically captured from interaction logs. We present the micromeasures that were found relevant to predict the interaction effort in 6 different types of web forms widgets. We describe a large data collection process and prediction models, showing that it is indeed possible to automatically predict a widget interaction effort score by learning from expert human ratings. We consequently believe that the interaction effort could be used as an effective metric to compare small variations in a design in terms of user experience.
- Materia
-
Ciencias de la Computación e Información
Interactivity
User interaction metrics
User experience
Web usability
UX refactoring - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/11636
Ver los metadatos del registro completo
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Predicting Interaction Effort in Web Interface WidgetsGardey, Juan CruzGrigera, JuliánRodríguez, AndrésRossi, Gustavo HéctorGarrido, AlejandraCiencias de la Computación e InformaciónInteractivityUser interaction metricsUser experienceWeb usabilityUX refactoringThe product of good design should render a tool invisible for a user who is executing a task. Unfortunately, web applications are often far from invisible to users, who struggle with poor design of websites and processes in them. We are particularly interested in web processes that involve form filling, so we have been studying how people interact with web forms. Besides cataloguing user interaction problems that are common in web forms, we have noticed that, in many cases, there is a single form element or widget to blame for a certain interaction problem, because such widget is not the most appropriate one for the required input in that particular context. This unfitness of the widget causes an extra burden to the user, which we call interaction effort. In this work we propose measuring the interaction effort of a widget with a unified score based on micro-measures automatically captured from interaction logs. We present the micromeasures that were found relevant to predict the interaction effort in 6 different types of web forms widgets. We describe a large data collection process and prediction models, showing that it is indeed possible to automatically predict a widget interaction effort score by learning from expert human ratings. We consequently believe that the interaction effort could be used as an effective metric to compare small variations in a design in terms of user experience.2022-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/11636enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2022.102919info:eu-repo/semantics/altIdentifier/issn/1071-5819info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:22Zoai:digital.cic.gba.gob.ar:11746/11636Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:22.991CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Predicting Interaction Effort in Web Interface Widgets |
title |
Predicting Interaction Effort in Web Interface Widgets |
spellingShingle |
Predicting Interaction Effort in Web Interface Widgets Gardey, Juan Cruz Ciencias de la Computación e Información Interactivity User interaction metrics User experience Web usability UX refactoring |
title_short |
Predicting Interaction Effort in Web Interface Widgets |
title_full |
Predicting Interaction Effort in Web Interface Widgets |
title_fullStr |
Predicting Interaction Effort in Web Interface Widgets |
title_full_unstemmed |
Predicting Interaction Effort in Web Interface Widgets |
title_sort |
Predicting Interaction Effort in Web Interface Widgets |
dc.creator.none.fl_str_mv |
Gardey, Juan Cruz Grigera, Julián Rodríguez, Andrés Rossi, Gustavo Héctor Garrido, Alejandra |
author |
Gardey, Juan Cruz |
author_facet |
Gardey, Juan Cruz Grigera, Julián Rodríguez, Andrés Rossi, Gustavo Héctor Garrido, Alejandra |
author_role |
author |
author2 |
Grigera, Julián Rodríguez, Andrés Rossi, Gustavo Héctor Garrido, Alejandra |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación e Información Interactivity User interaction metrics User experience Web usability UX refactoring |
topic |
Ciencias de la Computación e Información Interactivity User interaction metrics User experience Web usability UX refactoring |
dc.description.none.fl_txt_mv |
The product of good design should render a tool invisible for a user who is executing a task. Unfortunately, web applications are often far from invisible to users, who struggle with poor design of websites and processes in them. We are particularly interested in web processes that involve form filling, so we have been studying how people interact with web forms. Besides cataloguing user interaction problems that are common in web forms, we have noticed that, in many cases, there is a single form element or widget to blame for a certain interaction problem, because such widget is not the most appropriate one for the required input in that particular context. This unfitness of the widget causes an extra burden to the user, which we call interaction effort. In this work we propose measuring the interaction effort of a widget with a unified score based on micro-measures automatically captured from interaction logs. We present the micromeasures that were found relevant to predict the interaction effort in 6 different types of web forms widgets. We describe a large data collection process and prediction models, showing that it is indeed possible to automatically predict a widget interaction effort score by learning from expert human ratings. We consequently believe that the interaction effort could be used as an effective metric to compare small variations in a design in terms of user experience. |
description |
The product of good design should render a tool invisible for a user who is executing a task. Unfortunately, web applications are often far from invisible to users, who struggle with poor design of websites and processes in them. We are particularly interested in web processes that involve form filling, so we have been studying how people interact with web forms. Besides cataloguing user interaction problems that are common in web forms, we have noticed that, in many cases, there is a single form element or widget to blame for a certain interaction problem, because such widget is not the most appropriate one for the required input in that particular context. This unfitness of the widget causes an extra burden to the user, which we call interaction effort. In this work we propose measuring the interaction effort of a widget with a unified score based on micro-measures automatically captured from interaction logs. We present the micromeasures that were found relevant to predict the interaction effort in 6 different types of web forms widgets. We describe a large data collection process and prediction models, showing that it is indeed possible to automatically predict a widget interaction effort score by learning from expert human ratings. We consequently believe that the interaction effort could be used as an effective metric to compare small variations in a design in terms of user experience. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/11636 |
url |
https://digital.cic.gba.gob.ar/handle/11746/11636 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2022.102919 info:eu-repo/semantics/altIdentifier/issn/1071-5819 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CICBA |
institution |
CICBA |
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CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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13.070432 |