most citedMapping the Design Space of Interactions in Human-AI Text Co-creation Tasks

10 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC20242 cited

Towards Intent-based User Interfaces: Charting the Design Space of Intent-AI Interactions Across Task Types

Zijian Ding

Technological advances continue to redefine the dynamics of human-machine interactions, particularly in task execution. This proposal responds to the advancements in Generative AI…

cs.CL20234 cited

Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation

Zijian Ding, Alison Smith-Renner, Wenjuan Zhang +2

To explore how humans can best leverage LLMs for writing and how interacting with these models affects feelings of ownership and trust in the writing process, we compared common hu…

cs.AI202310 cited

Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning

Chen Cao, Zijian Ding, Gyeong-Geon Lee +3

This study explores the integration of generative artificial intelligence (AI), specifically large language models, with multi-modal analogical reasoning as an innovative approach…

cs.AI20237 cited

AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education

Cassie Chen Cao, Zijian Ding, Jionghao Lin +1

This study investigates the use of Artificial Intelligence (AI)-powered, multi-role chatbots as a means to enhance learning experiences and foster engagement in computer science ed…

cs.HC20237 cited

Freeform Templates: Combining Freeform Curation with Structured Templates

Stephen MacNeil, Ziheng Huang, Kenneth Chen +4

Online whiteboards are becoming a popular way to facilitate collaborative design work, providing a free-form environment to curate ideas. However, as templates are increasingly bei…

cs.AI202310 cited

Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks

Zijian Ding, Joel Chan

Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with L…