Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research

Detalhes bibliográficos
Autor(a) principal: Sandnes, Frode Eika
Data de Publicação: 2018
Outros Autores: Eika, Evelyn, Medola, Fausto Orsi [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-319-92049-8_8
http://hdl.handle.net/11449/171273
Resumo: Many students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter’s attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.
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spelling Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility researchDesign of experimentsHuman computer interactionInferential statisticsIntegrated development environmentUniversal accessibilityMany students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter’s attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.Department of Computer Science Faculty of Technology Art and Design OsloMet – Oslo Metropolitan UniversityFaculty of Technology Westerdals Oslo School of Art Communication and TechnologyFAAC UNESPFAAC UNESPOsloMet – Oslo Metropolitan UniversityCommunication and TechnologyUniversidade Estadual Paulista (Unesp)Sandnes, Frode EikaEika, EvelynMedola, Fausto Orsi [UNESP]2018-12-11T16:54:41Z2018-12-11T16:54:41Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject107-120http://dx.doi.org/10.1007/978-3-319-92049-8_8Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10907 LNCS, p. 107-120.1611-33490302-9743http://hdl.handle.net/11449/17127310.1007/978-3-319-92049-8_82-s2.0-85050587620Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)0,295info:eu-repo/semantics/openAccess2021-10-23T21:44:31Zoai:repositorio.unesp.br:11449/171273Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:46:17.007382Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
title Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
spellingShingle Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
Sandnes, Frode Eika
Design of experiments
Human computer interaction
Inferential statistics
Integrated development environment
Universal accessibility
title_short Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
title_full Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
title_fullStr Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
title_full_unstemmed Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
title_sort Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research
author Sandnes, Frode Eika
author_facet Sandnes, Frode Eika
Eika, Evelyn
Medola, Fausto Orsi [UNESP]
author_role author
author2 Eika, Evelyn
Medola, Fausto Orsi [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv OsloMet – Oslo Metropolitan University
Communication and Technology
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Sandnes, Frode Eika
Eika, Evelyn
Medola, Fausto Orsi [UNESP]
dc.subject.por.fl_str_mv Design of experiments
Human computer interaction
Inferential statistics
Integrated development environment
Universal accessibility
topic Design of experiments
Human computer interaction
Inferential statistics
Integrated development environment
Universal accessibility
description Many students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter’s attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T16:54:41Z
2018-12-11T16:54:41Z
2018-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-319-92049-8_8
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10907 LNCS, p. 107-120.
1611-3349
0302-9743
http://hdl.handle.net/11449/171273
10.1007/978-3-319-92049-8_8
2-s2.0-85050587620
url http://dx.doi.org/10.1007/978-3-319-92049-8_8
http://hdl.handle.net/11449/171273
identifier_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10907 LNCS, p. 107-120.
1611-3349
0302-9743
10.1007/978-3-319-92049-8_8
2-s2.0-85050587620
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
0,295
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 107-120
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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