DailySense: a Daily Self-reports and Physiological Signals Sensing Dataset for Subjective Health Research in the Wild

Description:
This is a daily self-reports and physiological signals sensing dataset for subjective health research in the wild (DailySense). This is a dataset from a consecutive 14-day experiment in real-life settings composed of smartphone-based subjective psychological evaluation and physiological sensing. A Total of 36 healthy Japanese adult remote workers (mean±SD, 35.8±7.5; range, 27–58 years; 21 male and 15 female participants) participated in the experiment through two terms (1st term [1], 18 participants from a Japanese company without rewards; 2nd term, 18 participants from a participant's pool with rewards).

The study protocol was approved by the internal review board of Research & Development Group, Hitachi, Ltd., and was conducted in accordance with the Declaration of Helsinki. All participants provided informed consent prior to enrollment in this study. The permission to share the raw data with participants' anonymization was included in this approval and explicitly obtained in that informed consent.

This dataset contains the following data:

 - pre- and post-term data of
    - responses to self-reporting questionnaires (i.e., the Japanese versions of NEO-FFI, STAI, CES-D, CFS, PSQI, WHO-QOL, and SF-36v2^©).
    - demographics
    - survey regarding this experiment

- mid-term data of
    - responses to emotional self-reports (i.e., Affective Slider and I-PANAS-SF) and their behavior in ESM 6 times/day at maximum
    - responses to subjective health (i.e., degree of fatigue, stress, anxiety, depression, and sleeplessness), wake-up/in-bed times, and work style 1time/day
    - continuously monitored physiological data (i.e., EDA, PPG, Acc) and event tags obtained by a wristband sensor (E4 wristband, Empatica Inc.) during their waking hours
    - response profile data estimated using the proposed method
    - log data of an experience sampling support system (exkuma, Japan Experience Sampling Method Association)

Details of data are mentioned in an xlsx file of the root directory. Due to the limitation of questionnaires, descriptions of original instructions of items in each questionnaire are omitted.

The details of the experiment are described in [1][2]. Note that, in [1], participant #29 was excluded due to insufficient physiological data quality. In addition, in [2], participant #47 was excluded since he did not complete a personality questionnaire, but #29 was included since he completed responses to all the questionnaires.

License:
This dataset is made available by Hitachi, Ltd. under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

References:
If you use this dataset, please cite the following papers:

[1] Shunsuke Minusa, Chihiro Yoshimura, and Hiroyuki Mizuno "Emodiversity evaluation of remote workers through health monitoring based on intra-day emotion sampling," Front. Public Heal., vol. 11, no. August, pp. 1–12, 2023, doi: 10.3389/fpubh.2023.1196539

[2] Shunsuke Minusa, Tadayuki Matsumura, Kanako Esaki, Yang Shao, Chihiro Yoshimura, and Hiroyuki Mizuno, "Response Style Characterization for Repeated Measures Using the Visual Analogue Scale," arXiv preprint arXiv:2403.10136, 2024.

Contact:
If there is any problem, please contact us:

• Shunsuke Minusa, shunsuke.minusa.hd@hitachi.com