Evaluating Handheld AR Navigation: A Multidimensional Study of Usability, Workload, and User Experience in Pedestrian Wayfinding

Read full text
Authors: Nur Rahmi Hidayati, Muhammad Hilman Maulana
Cited by: 0

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