Web User Interaction Speed Study

Autores
Loza Bonora, Leonardo Germán; Grigera, Julián; Gardey, Juan Cruz; Garrido, Alejandra
Año de publicación
2022
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Web applications often suffer from interaction problems, causing users to struggle to fill out forms or find information. To diagnose these problems without incurring large costs, a popular solution is to analyze interaction events automatically to find problematic behavior patterns. However, these analyses often do not take into account the user’s interaction style, such as speed. In this paper we present a study on the web users’ speed by using recordings of real sessions to find how early this characteristic, measured in terms of mouse, scroll and keyboard speed, can be estimated. Preliminary results suggest that it takes approximately 50 seconds or 500 events to obtain a close estimate (>0.85) of the benchmark speed, calculated from the total number of events in the session.
Materia
Ciencias de la Computación e Información
interaction
web interface
log analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/12114
Acceder
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network_name_str CIC Digital (CICBA)
spelling Web User Interaction Speed StudyLoza Bonora, Leonardo GermánGrigera, JuliánGardey, Juan CruzGarrido, AlejandraCiencias de la Computación e Informacióninteractionweb interfacelog analysisWeb applications often suffer from interaction problems, causing users to struggle to fill out forms or find information. To diagnose these problems without incurring large costs, a popular solution is to analyze interaction events automatically to find problematic behavior patterns. However, these analyses often do not take into account the user’s interaction style, such as speed. In this paper we present a study on the web users’ speed by using recordings of real sessions to find how early this characteristic, measured in terms of mouse, scroll and keyboard speed, can be estimated. Preliminary results suggest that it takes approximately 50 seconds or 500 events to obtain a close estimate (>0.85) of the benchmark speed, calculated from the total number of events in the session.2022info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/12114spainfo:eu-repo/semantics/altIdentifier/doi/10.1109/SCCC57464.2022.10000388info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-5674-6info:eu-repo/semantics/altIdentifier/issn/2691-0632info: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:CICBA2025-09-29T13:40:02Zoai:digital.cic.gba.gob.ar:11746/12114Institucionalhttp://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 13:40:02.68CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Web User Interaction Speed Study
title Web User Interaction Speed Study
spellingShingle Web User Interaction Speed Study
Loza Bonora, Leonardo Germán
Ciencias de la Computación e Información
interaction
web interface
log analysis
title_short Web User Interaction Speed Study
title_full Web User Interaction Speed Study
title_fullStr Web User Interaction Speed Study
title_full_unstemmed Web User Interaction Speed Study
title_sort Web User Interaction Speed Study
dc.creator.none.fl_str_mv Loza Bonora, Leonardo Germán
Grigera, Julián
Gardey, Juan Cruz
Garrido, Alejandra
author Loza Bonora, Leonardo Germán
author_facet Loza Bonora, Leonardo Germán
Grigera, Julián
Gardey, Juan Cruz
Garrido, Alejandra
author_role author
author2 Grigera, Julián
Gardey, Juan Cruz
Garrido, Alejandra
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
interaction
web interface
log analysis
topic Ciencias de la Computación e Información
interaction
web interface
log analysis
dc.description.none.fl_txt_mv Web applications often suffer from interaction problems, causing users to struggle to fill out forms or find information. To diagnose these problems without incurring large costs, a popular solution is to analyze interaction events automatically to find problematic behavior patterns. However, these analyses often do not take into account the user’s interaction style, such as speed. In this paper we present a study on the web users’ speed by using recordings of real sessions to find how early this characteristic, measured in terms of mouse, scroll and keyboard speed, can be estimated. Preliminary results suggest that it takes approximately 50 seconds or 500 events to obtain a close estimate (>0.85) of the benchmark speed, calculated from the total number of events in the session.
description Web applications often suffer from interaction problems, causing users to struggle to fill out forms or find information. To diagnose these problems without incurring large costs, a popular solution is to analyze interaction events automatically to find problematic behavior patterns. However, these analyses often do not take into account the user’s interaction style, such as speed. In this paper we present a study on the web users’ speed by using recordings of real sessions to find how early this characteristic, measured in terms of mouse, scroll and keyboard speed, can be estimated. Preliminary results suggest that it takes approximately 50 seconds or 500 events to obtain a close estimate (>0.85) of the benchmark speed, calculated from the total number of events in the session.
publishDate 2022
dc.date.none.fl_str_mv 2022
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info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
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info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-5674-6
info:eu-repo/semantics/altIdentifier/issn/2691-0632
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv 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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