23 citations · 29 across the 6 of their papers we have counts for
7 papers
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data
George Boateng, Xiangyu Zhao, Malgorzata Speichert +6
Couples generally manage chronic diseases together and the management takes an emotional toll on both patients and their romantic partners. Consequently, recognizing the emotions o…
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…
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…
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…
"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…
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…
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…