Predicting Interaction Effort in Web Interface Widgets

Página de ítem simple
cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedtrue
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeArtículo
cic.versionAceptada
dc.date.accessioned2022-09-07T13:50:38Z
dc.date.available2022-09-07T13:50:38Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/11636
dc.titlePredicting Interaction Effort in Web Interface Widgetsen
dc.typeArtículo
dcterms.abstractThe 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.en
dcterms.creator.authorGardey, Juan Cruz
dcterms.creator.authorGrigera, Julián
dcterms.creator.authorRodríguez, Andrés
dcterms.creator.authorRossi, Gustavo Héctor
dcterms.creator.authorGarrido, Alejandra
dcterms.identifier.otherdoi: 10.1016/j.ijhcs.2022.102919
dcterms.identifier.otherISSN: 1071-5819
dcterms.isPartOf.issueIn Press, Journal Pre-proof
dcterms.isPartOf.seriesInternational Journal of Human-Computer Studies
dcterms.issued2022-08
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectInteractivityen
dcterms.subjectUser interaction metricsen
dcterms.subjectUser experienceen
dcterms.subjectWeb usabilityen
dcterms.subjectUX refactoringen
dcterms.subject.materiaCiencias de la Computación e Información

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
Predicting Interaction Effort in Web-Lifia.pdf-PDFA.pdf
Tamaño:
2.73 MB
Formato:
Adobe Portable Document Format
Descargar

Bloque de licencias

Mostrando 1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
3.46 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Artículos y presentaciones en Congresos