We developed a new method to link designer emotions with corresponding designer
activities while using computer-aided design (cad) software. Our method employs …

Affect-aware socially assistive robotics (SAR) has shown great potential for augmenting
interventions for children with autism spectrum disorders (ASD). However, current SAR …

Emotion monitoring can play a vital role in investigating mental health disorders that
contribute to 14% of global diseases. Currently, the mental healthcare system is struggling to …

Prior work in affect-aware educational robots has often relied on a common belief that the
relationship between student affect and learning is independent of agent behaviors …

Personalizing interactions in socially assistive robot (SAR) tutoring has shown promise with
a wide variety of learners, especially when using multiple interaction modalities. Many of …

Conversational AI agents are proliferating, embodying a range of devices such as smart
speakers, smart displays, robots, cars, and more. We can envision a future where a …

For affective computing to have an impact outside the laboratory, facial expressions must be
studied in rich naturalistic situations. We argue negotiations are one such situation as they …

In recent decades, the field of affective computing has made substantial progress in
advancing the ability of AI systems to recognize and express affective phenomena, such as …

Conversational AI agents are becoming ubiquitous and provide assistance to us in our
everyday activities. In recent years, researchers have explored the migration of these agents …

Early language and literacy skills are important foundations for learning and form the basis
of later academic success. Motivated by a growing scientific consensus that language …