BESDUI: A Benchmark for End-User Structured Data User Interfaces

Benchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a structured dataset, not the performance of the query engine. BSBM is just used to provide the data to be explored. This is a...

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Detalles Bibliográficos
Autores: Garcia, Roberto, Gil, Rosa, Gimeno, Juan Manuel, Bakke, Eirik, Karger, David R.
Tipo de recurso: conjunto de datos
Fecha de publicación:2020
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::c085639574044745ae537d3161ae146a
Acceso en línea:https://doi.org/10.34810/DATA20
Access Level:acceso abierto
Palabra clave:Computer and Information Science
Benchmark
User Experience
Usability
Semantic Data
Exploration
Search
Relational Data
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spelling BESDUI: A Benchmark for End-User Structured Data User InterfacesGarcia, RobertoGil, RosaGimeno, Juan ManuelBakke, EirikKarger, David R.Computer and Information ScienceBenchmarkUser ExperienceUsabilitySemantic DataExplorationSearchRelational DataBenchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a structured dataset, not the performance of the query engine. BSBM is just used to provide the data to be explored. This is a cheap User Interface benchmark as it does not involve users but experts, who measure how many interaction steps are required to complete each of the benchmark tasks, if possible. This also facilitates comparing different tools without the bias that different end-user profiles might introduce. The way to measure this interaction steps and convert them to an estimate of the required time to complete a task is based on the Keystroke-Level Model (KLM)CORA.Repositori de Dades de RecercaEstupinyà, Eva2020info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA20reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC BY-SA 4.0oai:dnet:cora.rdr____::c085639574044745ae537d3161ae146a2026-06-17T12:20:17Z
dc.title.none.fl_str_mv BESDUI: A Benchmark for End-User Structured Data User Interfaces
title BESDUI: A Benchmark for End-User Structured Data User Interfaces
spellingShingle BESDUI: A Benchmark for End-User Structured Data User Interfaces
Garcia, Roberto
Computer and Information Science
Benchmark
User Experience
Usability
Semantic Data
Exploration
Search
Relational Data
title_short BESDUI: A Benchmark for End-User Structured Data User Interfaces
title_full BESDUI: A Benchmark for End-User Structured Data User Interfaces
title_fullStr BESDUI: A Benchmark for End-User Structured Data User Interfaces
title_full_unstemmed BESDUI: A Benchmark for End-User Structured Data User Interfaces
title_sort BESDUI: A Benchmark for End-User Structured Data User Interfaces
dc.creator.none.fl_str_mv Garcia, Roberto
Gil, Rosa
Gimeno, Juan Manuel
Bakke, Eirik
Karger, David R.
author Garcia, Roberto
author_facet Garcia, Roberto
Gil, Rosa
Gimeno, Juan Manuel
Bakke, Eirik
Karger, David R.
author_role author
author2 Gil, Rosa
Gimeno, Juan Manuel
Bakke, Eirik
Karger, David R.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Estupinyà, Eva
dc.subject.none.fl_str_mv Computer and Information Science
Benchmark
User Experience
Usability
Semantic Data
Exploration
Search
Relational Data
topic Computer and Information Science
Benchmark
User Experience
Usability
Semantic Data
Exploration
Search
Relational Data
description Benchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a structured dataset, not the performance of the query engine. BSBM is just used to provide the data to be explored. This is a cheap User Interface benchmark as it does not involve users but experts, who measure how many interaction steps are required to complete each of the benchmark tasks, if possible. This also facilitates comparing different tools without the bias that different end-user profiles might introduce. The way to measure this interaction steps and convert them to an estimate of the required time to complete a task is based on the Keystroke-Level Model (KLM)
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA20
url https://doi.org/10.34810/DATA20
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC BY-SA 4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC BY-SA 4.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543