most citedModeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

eess.AS2019

Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations

Sandeep Nallan Chakravarthula, Md Nasir, Shao-Yen Tseng +6

Suicide is a major societal challenge globally, with a wide range of risk factors, from individual health, psychological and behavioral elements to socio-economic aspects. Military…

cs.CL2019

An analysis of observation length requirements for machine understanding of human behaviors from spoken language

Sandeep Nallan Chakravarthula, Brian Baucom, Shrikanth Narayanan +1

The task of quantifying human behavior by observing interaction cues is an important and useful one across a range of domains in psychological research and practice. Machine learni…

cs.CL2019

Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language

Sandeep Nallan Chakravarthula, Haoqi Li, Shao-Yen Tseng +2

Cancer impacts the quality of life of those diagnosed as well as their spouse caregivers, in addition to potentially influencing their day-to-day behaviors. There is evidence that…

cs.CL20193 cited

Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance

Md Nasir, Sandeep Nallan Chakravarthula, Brian Baucom +3

Linguistic coordination is a well-established phenomenon in spoken conversations and often associated with positive social behaviors and outcomes. While there have been many attemp…

cs.CL2018

Modeling Interpersonal Influence of Verbal Behavior in Couples Therapy Dyadic Interactions

Sandeep Nallan Chakravarthula, Brian Baucom, Panayiotis Georgiou

Dyadic interactions among humans are marked by speakers continuously influencing and reacting to each other in terms of responses and behaviors, among others. Understanding how int…