Title
Datasets on Flow State Evaluation, USE Questionnaire, and Motion-Tracking Glove Integration in SELFEX: An AR and Screen-Guided Training SolutionAuthor
Other institutions
Whirlpool Europe SrlVersion
Published version
xmlui.dri2xhtml.METS-1.0.item-datasetversion
truePublished Date
2024Access
Open accessPublisher’s version
10.17632/tvcxfhxpnz.1Published at
Mendeley Data Keywords
ODS 9 Industria, innovación e infraestructuraDescription
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.
Funder
EIT ManufacturingProgram
2023 Innovation callNumber
23134Award URI
Sin informaciónProject
Sin informaciónCollections
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