TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
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Abstract (arXiv)
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings. We collected behavioral and physiological data from n = 212 participants through Internet-of-Things Bluetooth data hubs, wearable sensors (including a wristband, a biometrics-tracking garment, a smartphone, and an audio-feature recorder), together with a battery of surveys to assess personality traits, behavioral states, job performance, and well-being over time. Besides the default use of the data set, we envision several novel research opportunities and potential applications, including multi-modal and multi-task behavioral modeling, authentication through biometrics, and privacy-aware and privacy-preserving machine learning.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Mar 2020.
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Citing papers per year: 2021: 2; 2022: 4; 2023: 4; 2024: 0; 2025: 2; 2026: 1.
13 papers.
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- 2021FairFed: Enabling Group Fairness in Federated Learningcited by 114
- 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairnesscited by 13
- 2022Bias Reducing Multitask Learning on Mental Health Predictioncited by 9
- 2022Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wildcited by 8
- 2023Scaling Representation Learning from Ubiquitous ECG with State-Space Modelscited by 7
- 2022More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensorscited by 3
- 2023Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settingscited by 3
- 2021Pattern Discovery in Time Series with Byte Pair Encodingcited by 1
- 2023Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settingscited by 1
- 2023Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Processcited by 0
- 2025Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddingscited by 0
- 2025WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Datacited by 0
- 2026Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults29 May 2026
- 2025WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data17 Sep 2025
- 2025Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddings1 Sep 2025
- 2023Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings14 Dec 2023
- 2023Scaling Representation Learning from Ubiquitous ECG with State-Space Models26 Sep 2023
- 2023Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process10 Jul 2023
- 2023Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings28 Apr 2023
- 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness18 Dec 2022
- 2022Bias Reducing Multitask Learning on Mental Health Prediction7 Aug 2022
- 2022Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild22 Feb 2022
- 2022More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors16 Feb 2022
- 2021FairFed: Enabling Group Fairness in Federated Learning2 Oct 2021
1 more
- 2021Pattern Discovery in Time Series with Byte Pair Encoding30 May 2021
- 2021FairFed: Enabling Group Fairness in Federated Learningcited by 114
- 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairnesscited by 13
- 2022Bias Reducing Multitask Learning on Mental Health Predictioncited by 9
- 2022Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wildcited by 8
- 2023Scaling Representation Learning from Ubiquitous ECG with State-Space Modelscited by 7
- 2022More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensorscited by 3
- 2023Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settingscited by 3
- 2021Pattern Discovery in Time Series with Byte Pair Encodingcited by 1
- 2023Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settingscited by 1
- 2023Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Processcited by 0
- 2025Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddingscited by 0
- 2025WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Datacited by 0
12 most cited of 13 All 13 (JSON)
- 2026Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults29 May 2026
- 2025WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data17 Sep 2025
- 2025Learning Longitudinal Stress Dynamics from Irregular Self-Reports via Time Embeddings1 Sep 2025
- 2023Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings14 Dec 2023
- 2023Scaling Representation Learning from Ubiquitous ECG with State-Space Models26 Sep 2023
- 2023Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process10 Jul 2023
- 2023Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings28 Apr 2023
- 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness18 Dec 2022
- 2022Bias Reducing Multitask Learning on Mental Health Prediction7 Aug 2022
- 2022Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild22 Feb 2022
- 2022More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors16 Feb 2022
- 2021FairFed: Enabling Group Fairness in Federated Learning2 Oct 2021
12 newest of 13 All 13 (JSON)