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most citedTowards Multimodal Large-Language Models for Parent-Child Interaction: A Focus on Joint Attention

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

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cs.HC2025

TalkSketch: Multimodal Generative AI for Real-time Sketch Ideation with Speech

Weiyan Shi, Sunaya Upadhyay, Geraldine Quek +1

Sketching is a widely used medium for generating and exploring early-stage design concepts. While generative AI (GenAI) chatbots are increasingly used for idea generation, designer…

cs.HC2025★ 1 cited

Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent-Child Interaction

Weiyan Shi, Kenny Tsu Wei Choo

While multimodal large language models (MLLMs) are increasingly applied in human-centred AI systems, their ability to understand complex social interactions remains uncertain. We p…

cs.HC2025

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation

Gionnieve Lim, Bryan Chen Zhengyu Tan, Kellie Yu Hui Sim +6

The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, c…

cs.HC2025

Human-AI Alignment of Multimodal Large Language Models with Speech-Language Pathologists in Parent-Child Interactions

Weiyan Shi, Kenny Tsu Wei Choo

Joint attention is a critical marker of early social-communicative development, yet remains difficult for caregivers to assess without expert guidance. In this work, we explore how…

cs.HC2025★ 7 cited

Towards Multimodal Large-Language Models for Parent-Child Interaction: A Focus on Joint Attention

Weiyan Shi, Viet Hai Le, Kenny Tsu Wei Choo

Joint attention is a critical component of early speech-language development and a key indicator of effective parent-child interaction. However, research on detecting and analysing…