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Author: 9954

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Req2CAD: bridging functional requirements and parametric CAD models to support conceptual 3D design

Conceptual CAD requires transforming functional requirements into parametric 3D models, yet existing systems have steep learning curves and limit creativity through premature fixation. Generative AI shows promise in producing diverse alternatives, while current methods mainly reconstruct CAD modeling sequences of exis…

Qianzhi Jing et al.Zhejiang University

Take the Dog to the Park: Quadruped Robot for Joint Attention Training with Autistic Children in Naturalistic Settings

Robot-supported interventions for joint attention (JA) in autistic children have shown encouraging outcomes, yet most remain confined to stationary robots in indoor settings, limiting opportunities for skill generalization and broader developmental benefits. We introduce an intervention that employs a quadruped robot…

Yuyang Fang et al.Zhejiang University

RECALLbot: Designing Agentic Memory and Reciprocal Disclosure for Human–Chatbot Relationships

Social chatbots are increasingly studied for their benefits in providing companionship and emotional support. These benefits rely on forming human-chatbot relationships that require credible social identity and reciprocal interaction. Memory plays a dual role: it strengthens social identity by enabling the chatbot to…

Zhaojun Jiang et al.Zhejiang University

Sci-Fi Spark: A Human-AI Co-Creation System for Science Fiction Ideation

In science fiction writing, ideation demands both novelty to construct fictional worlds and consistency to maintain internal and temporal logic within those worlds. While large language models (LLMs) are increasingly adopted as co-creators, generated ideas often lack surprise and struggle to maintain consistency. More…

Zhaojun Jiang et al.Zhejiang University

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"This is My Fault", Really? Understanding Blind and Low-Vision People’s Perception of Hallucination in Large Vision Language Models

Visual question-answering (VQA) tools powered by large visual language models (LVLMs) are used to assist blind and low-vision (BLV) individuals in overcoming visual challenges, raising concerns about hallucinations and associated risks. Existing literature overlooks the variations of hallucinations across distinct usa…

Yilin Tang et al.Zhejiang University

SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides

Car-riding is common for children in modern life, and given the repetitive nature of daily commutes, they often feel bored, which in turn leads them to rely on electronic devices for entertainment. Meanwhile, the rich and rapidly changing scenery outside the car naturally attracts children’s curiosity, providing abund…

Liuqing Chen et al.Zhejiang University

I-Card: A Generative AI-Supported Intelligent Design Method Card Deck

A design method card deck helps designers understand and provoke thinking by presenting each method in a simple format and allow designers to switch between methods seamlessly by maintaining the same simple format across the deck. However, recent observations have shown designers hesitate to use a card deck due to the…

Liuqing Chen et al.Zhejiang University

AutoSpark: Supporting Automobile Appearance Design Ideation with Kansei Engineering and Generative AI

Rapid creation of novel product appearance designs that align with consumer emotional requirements poses a significant challenge. Text-to-image models, with their excellent image generation capabilities, have demonstrated potential in providing inspiration to designers. However, designers still encounter issues includ…

Liuqing Chen et al.Zhejiang University

BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design

Bio-inspired design (BID) fosters innovative solutions in engineering by drawing inspiration from biology. Learning BID is crucial for developing multidisciplinary innovation skills of designers and engineers. While current BID education has attempted to enhance learners' understanding and analogical reasoning skills…

Liuqing Chen et al.Zhejiang University

ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12

As Computational Thinking (CT) continues to permeate younger age groups in K-12 education, established CT platforms such as Scratch face challenges in catering to these younger learners, particularly those in the elementary school (ages 6-12). Through formative investigation with Scratch experts, we uncover three key…

Liuqing Chen et al.Zhejiang University

EmoEden: Applying Generative Artificial Intelligence to Emotional Learning for Children with High-Function Autism

Children with high-functioning autism (HFA) often face challenges in emotional recognition and expression, leading to emotional distress and social difficulties. Conversational agents developed for HFA children in previous studies show limitations in children’s learning effectiveness due to the conversational agents’…

Yilin Tang et al.Zhejiang University

Layout Generation for Various Scenarios in Mobile Shopping Apps

Layout is essential for the product listing pages (PLPs) in mobile shopping applications. To clearly convey the information that consumers require and to achieve specific functions, PLPs layouts often have many variations driven by scenarios. In this work, we study the PLPs layout design for different scenarios and pr…

Qianzhi Jing et al.Zhejiang University

Paper Title	Authors	Research Topics	Paper Database	Year
Req2CAD: bridging functional requirements and parametric CAD models to support conceptual 3D design Conceptual CAD requires transforming functional requirements into parametric 3D models, yet existing systems have steep learning curves and limit creativity through premature fixation. Generative AI shows promise in producing diverse alternatives, while current methods mainly reconstruct CAD modeling sequences of exis…	QJ Qianzhi Jing et al.Zhejiang University
emoji_events Take the Dog to the Park: Quadruped Robot for Joint Attention Training with Autistic Children in Naturalistic Settings Robot-supported interventions for joint attention (JA) in autistic children have shown encouraging outcomes, yet most remain confined to stationary robots in indoor settings, limiting opportunities for skill generalization and broader developmental benefits. We introduce an intervention that employs a quadruped robot…	YF Yuyang Fang et al.Zhejiang University
RECALLbot: Designing Agentic Memory and Reciprocal Disclosure for Human–Chatbot Relationships Social chatbots are increasingly studied for their benefits in providing companionship and emotional support. These benefits rely on forming human-chatbot relationships that require credible social identity and reciprocal interaction. Memory plays a dual role: it strengthens social identity by enabling the chatbot to…	ZJ Zhaojun Jiang et al.Zhejiang University
Sci-Fi Spark: A Human-AI Co-Creation System for Science Fiction Ideation In science fiction writing, ideation demands both novelty to construct fictional worlds and consistency to maintain internal and temporal logic within those worlds. While large language models (LLMs) are increasingly adopted as co-creators, generated ideas often lack surprise and struggle to maintain consistency. More…	ZJ Zhaojun Jiang et al.Zhejiang University
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
"This is My Fault", Really? Understanding Blind and Low-Vision People’s Perception of Hallucination in Large Vision Language Models Visual question-answering (VQA) tools powered by large visual language models (LVLMs) are used to assist blind and low-vision (BLV) individuals in overcoming visual challenges, raising concerns about hallucinations and associated risks. Existing literature overlooks the variations of hallucinations across distinct usa…	YT Yilin Tang et al.Zhejiang University
SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides Car-riding is common for children in modern life, and given the repetitive nature of daily commutes, they often feel bored, which in turn leads them to rely on electronic devices for entertainment. Meanwhile, the rich and rapidly changing scenery outside the car naturally attracts children’s curiosity, providing abund…	LC Liuqing Chen et al.Zhejiang University
emoji_events I-Card: A Generative AI-Supported Intelligent Design Method Card Deck A design method card deck helps designers understand and provoke thinking by presenting each method in a simple format and allow designers to switch between methods seamlessly by maintaining the same simple format across the deck. However, recent observations have shown designers hesitate to use a card deck due to the…	LC Liuqing Chen et al.Zhejiang University
AutoSpark: Supporting Automobile Appearance Design Ideation with Kansei Engineering and Generative AI Rapid creation of novel product appearance designs that align with consumer emotional requirements poses a significant challenge. Text-to-image models, with their excellent image generation capabilities, have demonstrated potential in providing inspiration to designers. However, designers still encounter issues includ…	LC Liuqing Chen et al.Zhejiang University
BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design Bio-inspired design (BID) fosters innovative solutions in engineering by drawing inspiration from biology. Learning BID is crucial for developing multidisciplinary innovation skills of designers and engineers. While current BID education has attempted to enhance learners' understanding and analogical reasoning skills…	LC Liuqing Chen et al.Zhejiang University
ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12 As Computational Thinking (CT) continues to permeate younger age groups in K-12 education, established CT platforms such as Scratch face challenges in catering to these younger learners, particularly those in the elementary school (ages 6-12). Through formative investigation with Scratch experts, we uncover three key…	LC Liuqing Chen et al.Zhejiang University
EmoEden: Applying Generative Artificial Intelligence to Emotional Learning for Children with High-Function Autism Children with high-functioning autism (HFA) often face challenges in emotional recognition and expression, leading to emotional distress and social difficulties. Conversational agents developed for HFA children in previous studies show limitations in children’s learning effectiveness due to the conversational agents’…	YT Yilin Tang et al.Zhejiang University
Layout Generation for Various Scenarios in Mobile Shopping Apps Layout is essential for the product listing pages (PLPs) in mobile shopping applications. To clearly convey the information that consumers require and to achieve specific functions, PLPs layouts often have many variations driven by scenarios. In this work, we study the PLPs layout design for different scenarios and pr…	QJ Qianzhi Jing et al.Zhejiang University