activity
20192026
most citedExpressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers

179 citations · 362 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 84 cited

Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset

Desmond C. Ong, Zhengxuan Wu, Tan Zhi-Xuan +4

Human emotions unfold over time, and more affective computing research has to prioritize capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli r…

cs.HC2019

Robot Capability and Intention in Trust-based Decisions across Tasks

Yaqi Xie, Indu P Bodala, Desmond C. Ong +2

In this paper, we present results from a human-subject study designed to explore two facets of human mental models of robots---inferred capability and intention---and their relatio…

cs.LG2019★ 1 cited

Attending to Emotional Narratives

Zhengxuan Wu, Xiyu Zhang, Tan Zhi-Xuan +2

Attention mechanisms in deep neural networks have achieved excellent performance on sequence-prediction tasks. Here, we show that these recently-proposed attention-based mechanisms…

cs.CY2019★ 2 cited

Bayesian Inference of Social Norms as Shared Constraints on Behavior

Zhi-Xuan Tan, Desmond C. Ong

People act upon their desires, but often, also act in adherence to implicit social norms. How do people infer these unstated social norms from others' behavior, especially in novel…

cs.LG2019★ 3 cited

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series

Tan Zhi-Xuan, Harold Soh, Desmond C. Ong

Integrating deep learning with latent state space models has the potential to yield temporal models that are powerful, yet tractable and interpretable. Unfortunately, current model…

cs.AI2019★ 19 cited

Applying Probabilistic Programming to Affective Computing

Desmond C. Ong, Harold Soh, Jamil Zaki +1

Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emot…

cs.CL2019★ 2 cited

A Multimodal LSTM for Predicting Listener Empathic Responses Over Time

Zhi-Xuan Tan, Arushi Goel, Thanh-Son Nguyen +1

People naturally understand the emotions of-and often also empathize with-those around them. In this paper, we predict the emotional valence of an empathic listener over time as th…