activity
20192026
most citedBranching principles of animal and plant networks identified by combining extensive data, machine learning, and modeling

20 citations · 24 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Drawing the Line: Where AI Guidance and Human Creativity Meet in Emotion-Driven Comic Storyboarding

Jocelyn Shen, Isabella Pu, Alessandro Briseño +5

While generative AI models can produce visually faithful artwork, they often fall short in conveying emotional authenticity--a key driver of human expression. In visual storytellin…

cs.CL2025

Words Like Knives: Backstory-Personalized Modeling and Detection of Violent Communication

Jocelyn Shen, Akhila Yerukola, Xuhui Zhou +3

Conversational breakdowns in close relationships are deeply shaped by personal histories and emotional context, yet most NLP research treats conflict detection as a general task, o…

cs.HC2025★ 1 cited

Social Robots as Social Proxies for Fostering Connection and Empathy Towards Humanity

Jocelyn Shen, Audrey Lee, Sharifa Alghowinem +3

Despite living in an increasingly connected world, social isolation is a prevalent issue today. While social robots have been explored as tools to enhance social connection through…

cs.CL2024

EmpathicStories++: A Multimodal Dataset for Empathy towards Personal Experiences

Jocelyn Shen, Yubin Kim, Mohit Hulse +4

Modeling empathy is a complex endeavor that is rooted in interpersonal and experiential dimensions of human interaction, and remains an open problem within AI. Existing empathy dat…

cs.CL2024★ 1 cited

HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs

Jocelyn Shen, Joel Mire, Hae Won Park +2

Empathy serves as a cornerstone in enabling prosocial behaviors, and can be evoked through sharing of personal experiences in stories. While empathy is influenced by narrative cont…

cs.CL2023★ 2 cited

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…

q-bio.QM2019★ 20 cited

Branching principles of animal and plant networks identified by combining extensive data, machine learning, and modeling

Alexander B Brummer, Panagiotis Lymperopoulos, Jocelyn Shen +7

Branching in vascular networks and in overall organismic form is one of the most common and ancient features of multicellular plants, fungi, and animals. By combining machine-learn…