Efficacy and feasibility of a Human-AI sleep coaching model (doi:10.21979/N9/BRIOZ0)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 5: Other Study-Related Materials
Entire Codebook

Efficacy and feasibility of a Human-AI sleep coaching model

doi:10.21979/N9/BRIOZ0

DR-NTU (Data)

2023-07-20

1

Car, Josip; Bojic, Iva; Liu, Jintana, 2023, "Efficacy and feasibility of a Human-AI sleep coaching model", https://doi.org/10.21979/N9/BRIOZ0, DR-NTU (Data), V1, UNF:6:Zj4KcMMGagFUCLCLMezYqg== [fileUNF]

Efficacy and feasibility of a Human-AI sleep coaching model

doi:10.21979/N9/BRIOZ0

Car, Josip (Nanyang Technological University)

Bojic, Iva (Nanyang Technological University)

Liu, Jintana (Nanyang Technological University)

Nvivo, Word, Excel, Python, SPSS, Stata, RStudio

020373-00001

DR-NTU (Data)

Car, Josip

Bojic, Iva

Liu, Jintana

Josip, Car

2023-07-13

https://doi.org/10.21979/N9/BRIOZ0

Medicine, Health and Life Sciences, Medicine, Health and Life Sciences, Sleep intervention, University, QA system, AI

This repository contains data and resources related to the study conducted to evaluate the efficacy and feasibility of a human-AI sleep coaching model, test the performance of the QA system, and build an extensive training dataset and perform text mining of recording conversations between human health coaches and students. The dataset is organized in the following structure to facilitate understanding and reuse. This study was approved by the Institutional Review Board of Nanyang Technological University (IRB-2021-739) and is funded by the Accelerating Creativity & Excellence award (grant number 020373-00001).

Survey data, coaching conversations, focus group, sleep diary, Fitbit sensor data

Please email the authors to request access to the data file. Please state the purpose of the access in the email, and this will be reviewed on a case-by-case basis.

2305.19707

Bojic, I., Ong, Q. C., Joty, S., & Car, J. (2023). Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain. arXiv preprint.

2304.00483

Bojic, I., Halim, J., Suharman, V., Tar, S., Ong, Q. C., Phung, D., ... & Car, J. (2023). A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. arXiv preprint.

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Baseline_Post-Study_Questionnaires.xlsx

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Codebook_Questionnaire.docx

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Data_Dictionary_Codebook_Fitbit.docx

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Data_Dictionary_QA_System.docx

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FGD_Session1_Transcript.docx

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FGD_Session2_Transcript.docx

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Generated_Answers_HC.xlsx

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Generated_Answers_Participants.xlsx

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HC10_Student019_TeamsChat.txt

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Informed Consent Form-Coaches.pdf

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Informed Consent Form-Participants.pdf

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README.txt

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Sleep_Diary_All_4_weeks.xlsx

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