2026-04-30T21:12:14Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/69272025-06-12T14:12:24Zcom_20.500.11984_1234col_20.500.11984_1239

Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training Solution Escallada Lopez, Oscar Lasa, Ganix Mazmela Etxabe, Maitane Bosani, Enrica La Carrubba, Dario Dacal Nieto, Angel Villar Garcia, Marcos ODS 9 Industria, innovación e infraestructura 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. 2025-03-26T16:05:23Z 2025-03-26T16:05:23Z 2024 http://purl.org/coar/resource_type/c_ddb1 https://hdl.handle.net/20.500.11984/6927 eng Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/