Conversational dialog technology is increasingly being recognized as auseful means of automating remote patient monitoring and diagnostics for dysarthric speakers at scale. However, the characteristics of dysarthric speech introduce multiple …
We explore the utility of an on-demand multimodal conversational platform in extracting speech and facial metrics in children with Autism Spectrum Disorder (ASD). We investigate the extent to which these metrics correlate with objective clinical …
We propose a cloud-based multimodal dialog platform for the remote assessment and monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, technology setup, and an initial investigation of the efficacy of the …
Human emotion detection has received increasing attention over the last decades for a variety of applications and systems. However, detecting the intensity of the expressed emotion has not been investigated as much as detecting the type of the …
We demonstrate a multimodal conversational platform for remote patient diagnosis and monitoring. The platform engages patients in an interactive dialog session and automatically computes metrics relevant to speechacoustics and articulation, oro-motor …
Observing another’s affective state and adjusting one’s behavior to respond to it, is the basic functionality of empathy. To enable robots to do this, they need a mechanism to learn how to provide the most appropriate empathic behavior through …
Allowing humans to communicate through natural language with robots requires connections between words and percepts. The process of creating these connections is called symbol grounding and has been studied for nearly three decades. Although many …
We investigate the utility of audiovisual dialog systems combined with speech and video analytics for real-time remote monitoring of depression at scale in uncontrolled environment settings. We collected audiovisual conversational data from …