Evaluating Handheld AR Navigation: A Multidimensional Study of Usability, Workload, and User Experience in Pedestrian Wayfinding
Abstract
This dataset contains data collected for the study titled “Evaluating Handheld AR Navigation: A Multidimensional Study of Usability, Workload, and User Experience in Pedestrian Wayfinding.” The study evaluates Google Maps' AR Navigation feature called Live View The dataset includes: Performance Metrics: task success rate, error rate and time completion Single Post-Task Questionnaire: post-task single-item satisfaction ratings using a 5-point Likert scale. NASA Task Load Index (NASA-TLX): multidimensional subjective workload assessment including mental demand, physical demand, temporal demand, performance, effort, and frustration. Open-ended qualitative responses collected after task, describing participants’ perceptions, challenges, and overall impressions of the AR navigation feature. All participant data have been anonymized to ensure privacy.
Fields of Study & Subjects
Augmented Reality Applications
Interactive and Immersive Displays
Usability and User Interface Design
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 February 2026
- Language
- EN
- Document type
- Dataset