Raw survey data for an AirPods-based physical activity measurement usability study

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Authors: Jungmi Park
Cited by: 0

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