Raw survey data for an AirPods-based physical activity measurement usability study
Abstract
The data were collected to evaluate usability, functionality, comfort, risk perception, social influence, habituation, intention for continuous use, and satisfaction related to AirPods-based physical activity measurement.The dataset includes item-level Likert-scale responses (1 = strongly disagree to 5 = strongly agree), organised in a wide format where each row represents a participant and each column represents a survey item. No personally identifiable information is included. This dataset is shared in accordance with the journal’s open data policy to enable independent verification and reproducibility of the reported quantitative usability evaluation results.
Fields of Study & Subjects
Innovative Human-Technology Interaction
Mobile Health and mHealth Applications
Context-Aware Activity Recognition Systems
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset