14 citations · 34 across the 13 of their papers we have counts for
14 papers
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer
Yubin Kim, Dong Won Lee, Paul Pu Liang +3
Accurately modeling affect dynamics, which refers to the changes and fluctuations in emotions and affective displays during human conversations, is crucial for understanding human…
Modeling Empathic Similarity in Personal Narratives
Jocelyn Shen, Maarten Sap, Pedro Colon-Hernandez +2
The most meaningful connections between people are often fostered through expression of shared vulnerability and emotional experiences in personal narratives. We introduce a new ta…
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction
Yubin Kim, Huili Chen, Sharifa Alghowinem +2
Affect understanding capability is essential for social robots to autonomously interact with a group of users in an intuitive and reciprocal way. However, the challenge of multi-pe…
BRTDP: A Belief Branch and Bound Real-Time Dynamic Programming Approach to Solving POMDPs
Sigurdur Orn Adalgeirsson, Cynthia Breazeal
Partially Observable Markov Decision Processes (POMDPs) offer a promising world representation for autonomous agents, as they can model both transitional and perceptual uncertainti…
Explainable AI for Suicide Risk Assessment Using Eye Activities and Head Gestures
Siyu Liu, Catherine Lu, Sharifa Alghowinem +3
The prevalence of suicide has been on the rise since the 20th century, causing severe emotional damage to individuals, families, and communities alike. Despite the severity of this…
The Interaction Flow Editor: A New Human-Robot Interaction Rapid Prototyping Interface
Matthew Huggins, Anastasia K. Ostrowski, Andrew Rapo +3
Human-robot interaction can be regarded as a flow between users and robots. Designing good interaction flows takes a lot of effort and needs to be field tested. Unfortunately, the…
Toward Designing Social Human-Robot Interactions for Deep Space Exploration
Huili Chen, Cynthia Breazeal
In planning for future human space exploration, it is important to consider how to design for uplifting interpersonal communications and social dynamics among crew members. What if…
Migratable AI: Personalizing Dialog Conversations with migration context
Ravi Tejwani, Boris Katz, Cynthia Breazeal
The migration of conversational AI agents across different embodiments in order to maintain the continuity of the task has been recently explored to further improve user experience…
Migratable AI : Investigating users' affect on identity and information migration of a conversational AI agent
Ravi Tejwani, Boris Katz, Cynthia Breazeal
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 a…
A Robotic Positive Psychology Coach to Improve College Students' Wellbeing
Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch +5
A significant number of college students suffer from mental health issues that impact their physical, social, and occupational outcomes. Various scalable technologies have been pro…
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Huili Chen, Yue Zhang, Felix Weninger +3
Automatic speech-based affect recognition of individuals in dyadic conversation is a challenging task, in part because of its heavy reliance on manual pre-processing. Traditional a…
Migratable AI: Effect of identity and information migration on users perception of conversational AI agents
Ravi Tejwani, Felipe Moreno, Sooyeon Jeong +2
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 personal c…
Towards learning through robotic interaction alone: the joint guided search task
Nick DePalma, Cynthia Breazeal
This work proposes a biologically inspired approach that focuses on attention systems that are able to inhibit or constrain what is relevant at any one moment. We propose a radical…
NIMBUS: A Hybrid Cloud-Crowd Realtime Architecture for Visual Learning in Interactive Domains
Nick DePalma, Cynthia Breazeal
Robotic architectures that incorporate cloud-based resources are just now gaining popularity. However, researchers have very few investigations into their capabilities to support c…