94 citations · 147 across the 6 of their papers we have counts for
7 papers
VoxCare: Studying Natural Communication Behaviors of Hospital Caregivers through Wearable Sensing of Egocentric Audio
Tiantian Feng, Kleanthis Avramidis, Anfeng Xu +3
Healthcare professionals work in complex, high-stakes environments where effective communication is critical for care delivery, team coordination, and individual well-being. Howeve…
TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors
Tiantian Feng, Brandon M Booth, Karel Mundnich +4
Sleep is important for everyday functioning, overall well-being, and quality of life. Recent advances in wearable sensing technology have enabled continuous, noninvasive, and cost-…
Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation
Louis Hickman, Christopher Huynh, Jessica Gass +3
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been rai…
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
Tiantian Feng, Brandon M Booth, Shrikanth Narayanan
Continuously-worn wearable sensors enable researchers to collect copious amounts of rich bio-behavioral time series recordings of real-life activities of daily living, offering unp…
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews
Brandon M Booth, Louis Hickman, Shree Krishna Subburaj +3
We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning pipeline for affective computing. We expand on an interpersonal communic…
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu +11
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 in…
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings
Karel Mundnich, Brandon M. Booth, Benjamin Girault +1
Human annotations serve an important role in computational models where the target constructs under study are hidden, such as dimensions of affect. This is especially relevant in m…