activity
20192022
most citedImproving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning

23 citations · 27 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC20222 cited

Development, Deployment, and Evaluation of DyMand -- An Open-Source Smartwatch and Smartphone System for Capturing Couples' Dyadic Interactions in Chronic Disease Management in Daily Life

George Boateng, Prabhakaran Santhanam, Elgar Fleisch +4

Dyadic interactions of couples are of interest as they provide insight into relationship quality and chronic disease management. Currently, ambulatory assessment of couples' intera…

cs.HC20222 cited

Emotion Recognition among Couples: A Survey

George Boateng, Elgar Fleisch, Tobias Kowatsch

Couples' relationships affect the physical health and emotional well-being of partners. Automatically recognizing each partner's emotions could give a better understanding of their…

cs.CL2021

BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions

Jacopo Biggiogera, George Boateng, Peter Hilpert +5

Many processes in psychology are complex, such as dyadic interactions between two interacting partners (e.g. patient-therapist, intimate relationship partners). Nevertheless, many…

cs.CL2021

"You made me feel this way": Investigating Partners' Influence in Predicting Emotions in Couples' Conflict Interactions using Speech Data

George Boateng, Peter Hilpert, Guy Bodenmann +2

How romantic partners interact with each other during a conflict influences how they feel at the end of the interaction and is predictive of whether the partners stay together in t…

cs.HC2020

Detecting Receptivity for mHealth Interventions in the Natural Environment

Varun Mishra, Florian Künzler, Jan-Niklas Kramer +3

JITAI is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is pr…

cs.LG201923 cited

Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning

Martin Maritsch, Caterina Bérubé, Mathias Kraus +5

The reactions of the human body to physical exercise, psychophysiological stress and heart diseases are reflected in heart rate variability (HRV). Thus, continuous monitoring of HR…