Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Integrating physiological signals such as electroencephalogram (EEG), with other data such
as interview audio, may offer valuable multimodal insights into psychological states or …

Understanding how social situations unfold in people's daily lives is relevant to designing
mobile systems that can support users in their personal goals, well-being, and activities. As …

Effective patient-provider communication is crucial in clinical care, directly impacting patient
outcomes and quality of life. Traditional evaluation methods, such as human ratings, patient …

The absence of some forms of non-verbal communication in virtual reality (VR) can make VR-
based group discussions difficult even when a leader is assigned to each group to facilitate …

During social interactions, understanding the intricacies of the context can be vital,
particularly for socially anxious individuals. While previous research has found that the …

This paper investigates physiological markers of Social Anxiety Disorder (SAD) by
examining the relationship between Electrocardiogram (ECG) measurements and speech, a …

Wearable technology holds promise for monitoring and managing Social Anxiety Disorder
(SAD), yet the absence of clear biomarkers specific to SAD hampers its effectiveness. This …

Social anxiety is a prevalent mental disorder categorized within the broader spectrum of
anxiety disorders. Within human-centered studies, researchers frequently utilize self …