Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution

This database contains the results from questionnaires gathered during user testing of the SELFEX solution, a training system utilizing motion-tracking gloves, augmented reality (AR), and screen-based interfaces. Participants were asked to complete paper- and tablet-based questionnaires after intera...

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Detalles Bibliográficos
Autores: Escallada Lopez, Oscar, Lasa, Ganix, Mazmela Etxabe, Maitane, Bosani, Enrica, La Carrubba, Dario, Dacal Nieto, Angel, Villar Garcia, Marcos
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Mondragon Unibertsitatea (UMON)
Repositorio:eBiltegia. Repositorio Institucional de Mondragon Unibertsitatea
Idioma:inglés
OAI Identifier:oai:ebiltegia.mondragon.edu:20.500.11984/6927
Acceso en línea:http://hdl.handle.net/20.500.11984/6927
Access Level:acceso abierto
Palabra clave:ODS 9 Industria, innovación e infraestructura
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spelling Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training SolutionEscallada Lopez, OscarLasa, GanixMazmela Etxabe, MaitaneBosani, EnricaLa Carrubba, DarioDacal Nieto, AngelVillar Garcia, MarcosODS 9 Industria, innovación e infraestructuraThis database contains the results from questionnaires gathered during user testing of the SELFEX solution, a training system utilizing motion-tracking gloves, augmented reality (AR), and screen-based interfaces. Participants were asked to complete paper- and tablet-based questionnaires after interacting with both AR and screen-guided training environments. The data provided allows for a comparative analysis between the two training methods (AR vs. screen) and assesses the suitability of the MAGOS hand-tracking gloves for this application. Additionally, it facilitates the exploration of correlations between various user experience factors, such as ease of use, usefulness, satisfaction, and ease of learning. The folder is divided into two types of files: - PDF files: These contain the three questionnaires administered during testing. - "dataset.xlsx": This file includes the questionnaire results. Within the Excel file, the data is organized across three sheets: - "Results with AR glasses": Displays data from the experiment conducted using Hololens 2 AR glasses. Participants are anonymized and coded by gender (e.g., M01 for the first male participant). - "Results without AR glasses": Shows data from the experiment conducted with five participants using a TV screen instead of Hololens 2 to follow the assembly training instructions. - "Demographic data": Contains demographic information related to the participants. This dataset enables comprehensive evaluation and comparison of the training methods and user experiences.20242024-01-01datasethttp://purl.org/coar/resource_type/c_ddb1info:eu-repo/semantics/datasethttp://hdl.handle.net/20.500.11984/6927reponame:eBiltegia. Repositorio Institucional de Mondragon Unibertsitateainstname:Mondragon Unibertsitatea (UMON)InglésengEIT Manufacturing Sin información 2023 Innovation call 23134 Sin informaciónopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ebiltegia.mondragon.edu:20.500.11984/69272026-06-22T12:43:27Z
dc.title.none.fl_str_mv Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
title Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
spellingShingle Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
Escallada Lopez, Oscar
ODS 9 Industria, innovación e infraestructura
title_short Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
title_full Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
title_fullStr Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
title_full_unstemmed Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
title_sort Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution
dc.creator.none.fl_str_mv Escallada Lopez, Oscar
Lasa, Ganix
Mazmela Etxabe, Maitane
Bosani, Enrica
La Carrubba, Dario
Dacal Nieto, Angel
Villar Garcia, Marcos
author Escallada Lopez, Oscar
author_facet Escallada Lopez, Oscar
Lasa, Ganix
Mazmela Etxabe, Maitane
Bosani, Enrica
La Carrubba, Dario
Dacal Nieto, Angel
Villar Garcia, Marcos
author_role author
author2 Lasa, Ganix
Mazmela Etxabe, Maitane
Bosani, Enrica
La Carrubba, Dario
Dacal Nieto, Angel
Villar Garcia, Marcos
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ODS 9 Industria, innovación e infraestructura
topic ODS 9 Industria, innovación e infraestructura
description This database contains the results from questionnaires gathered during user testing of the SELFEX solution, a training system utilizing motion-tracking gloves, augmented reality (AR), and screen-based interfaces. Participants were asked to complete paper- and tablet-based questionnaires after interacting with both AR and screen-guided training environments. The data provided allows for a comparative analysis between the two training methods (AR vs. screen) and assesses the suitability of the MAGOS hand-tracking gloves for this application. Additionally, it facilitates the exploration of correlations between various user experience factors, such as ease of use, usefulness, satisfaction, and ease of learning. The folder is divided into two types of files: - PDF files: These contain the three questionnaires administered during testing. - "dataset.xlsx": This file includes the questionnaire results. Within the Excel file, the data is organized across three sheets: - "Results with AR glasses": Displays data from the experiment conducted using Hololens 2 AR glasses. Participants are anonymized and coded by gender (e.g., M01 for the first male participant). - "Results without AR glasses": Shows data from the experiment conducted with five participants using a TV screen instead of Hololens 2 to follow the assembly training instructions. - "Demographic data": Contains demographic information related to the participants. This dataset enables comprehensive evaluation and comparison of the training methods and user experiences.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
dc.type.none.fl_str_mv dataset
http://purl.org/coar/resource_type/c_ddb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11984/6927
url http://hdl.handle.net/20.500.11984/6927
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv EIT Manufacturing Sin información 2023 Innovation call 23134 Sin información
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:eBiltegia. Repositorio Institucional de Mondragon Unibertsitatea
instname:Mondragon Unibertsitatea (UMON)
instname_str Mondragon Unibertsitatea (UMON)
reponame_str eBiltegia. Repositorio Institucional de Mondragon Unibertsitatea
collection eBiltegia. Repositorio Institucional de Mondragon Unibertsitatea
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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