Exploring Usability And User-experience Metrics With A Novel AR App In The MASTERLY Project
Year: 2025
Type: conference-paper
Abstract: The present study describes an initial user-experience (UX) evaluation of prototype augmented reality (AR) interface which interacts with a novel industrial human-robot collaborative system. Seventeen participants with varying levels of experience with AR systems at the University of Patras development site were guided through the system’s functions before completing a short manual assembly task directed by the AR system. Participants evaluated their experience via a questionnaire comprising standardised psychometrics (NASA TLX, UEQ, mCSE, SUS, and the Ten-Item Personality inventory or TiPi), while additional questions permitted free responses regarding trust in the system, utility, and user preferences. Two final items investigated aesthetic and functional aspects of the visual interface, and the overall ease of first-time usage. Using correlation, we examined expected consistencies across different UX metrics and a short-form personality inventory. Initial findings from the survey are reported on the overall state of the UX, and modifications to the survey for future use in the MASTERLY project’s other use-cases. Participants reported widely positive interactions, and their responses also provided suggestions well improvements to the final questionnaire for subsequent testing.
Author: Burns, Christopher
Institution: Cranfield University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W7104044140
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