Home // International Journal On Advances in Life Sciences, volume 16, numbers 1 and 2, 2024 // View article
Authors:
Xianyin Hu
Yuki Ban
Shin'ichi Warisawa
Keywords: data collecting tool; engaging design; physiological data; cognitive performance;
Abstract:
Experiments in cognitive science that rely on laboratory-based settings are not only costly and time-consuming but also make it difficult to investigate individuals' cognitive states as they naturally fluctuate over time in daily life. In our initial study, we presented a practical tool implemented as a smartphone application DailyExp that aims to conveniently collect cognitive performance data in daily life settings. This application is accessible from major mobile platforms (iOS and Android), tied with a Fitbit account to collect physiological data at the same time. We employed engaging behavioral design to overcome problems faced experimenting in the wild, intended to improve data quality as well as data collection efficiency and evaluated them in a one-month-long experiment involving 10 participants. For this extended study, we implemented new features based on feedback from the preliminary study and tested them on 41 individuals. This paper provides implementation details of each cognitive task that was not covered in the initial paper, and included a comprehensive analysis of post-study questionnaires as well as a quantitative comparison of objective metrics evaluating user engagement and persistence. Our results demonstrated a statistically significant improvement in user engagement as well as persistence by adding new features.
Pages: 1 to 10
Copyright: Copyright (c) to authors, 2024. Used with permission.
Publication date: June 30, 2024
Published in: journal
ISSN: 1942-2660