most citedA Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications

9 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC20192 cited

Designing Style Matching Conversational Agents

Deepali Aneja, Rens Hoegen, Daniel McDuff +1

Advances in machine intelligence have enabled conversational interfaces that have the potential to radically change the way humans interact with machines. However, even with the pr…

cs.HC2019

Towards Understanding Emotional Intelligence for Behavior Change Chatbots

Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski +1

A natural conversational interface that allows longitudinal symptom tracking would be extremely valuable in health/wellness applications. However, the task of designing emotionally…

cs.HC2019

An End-to-End Conversational Style Matching Agent

Rens Hoegen, Deepali Aneja, Daniel McDuff +1

We present an end-to-end voice-based conversational agent that is able to engage in naturalistic multi-turn dialogue and align with the interlocutor's conversational style. The sys…

cs.HC20199 cited

A Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications

Daniel McDuff, Kael Rowan, Piali Choudhury +3

Humans use a host of signals to infer the emotional state of others. In general, computer systems that leverage signals from multiple modalities will be more robust and accurate in…

cs.HC2018

EMMA: An Emotion-Aware Wellbeing Chatbot

Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski +1

The delivery of mental health interventions via ubiquitous devices has shown much promise. A conversational chatbot is a promising oracle for delivering appropriate just-in-time in…