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20232025
most citedUnderstanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention

69 citations · 74 across the 3 of their papers we have counts for

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cs.HC20254 cited

A Matter of Perspective(s): Contrasting Human and LLM Argumentation in Subjective Decision-Making on Subtle Sexism

Paula Akemi Aoyagui, Kelsey Stemmler, Sharon Ferguson +2

In subjective decision-making, where decisions are based on contextual interpretation, Large Language Models (LLMs) can be integrated to present users with additional rationales to…

cs.HC20241 cited

Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making

Sharon Ferguson, Paula Akemi Aoyagui, Young-Ho Kim +1

As large language models (LLMs) advance to produce human-like arguments in some contexts, the number of settings applicable for human-AI collaboration broadens. Specifically, we fo…

cs.HC202469 cited

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention

Eunkyung Jo, Yuin Jeong, SoHyun Park +2

Recent large language models (LLMs) offer the potential to support public health monitoring by facilitating health disclosure through open-ended conversations but rarely preserve t…

cs.HC2023

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling

Taewan Kim, Seolyeong Bae, Hyun Ah Kim +4

In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about th…

cs.HC2023

ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events

Woosuk Seo, Chanmo Yang, Young-Ho Kim

Children typically learn to identify and express emotions through sharing their stories and feelings with others, particularly their family. However, it is challenging for parents…