Chaofan Wang

schoolUniversity of Melbournebar_chart#3499 Global Rank

Total Papers

HCI Rank

#3499

Research Areas

Years Active

Recent Publications

Safeguarding Crowdsourcing Surveys from ChatGPT through Prompt Injection

ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data. However, this means that they also have the potential for misuse, specifically to automatically answer surveys. LLMs can potentially circumvent quality assurance…

UBICOMP '242nd AuthorDesktop 3D Printing & Personal Fabrication +1

InfoPrint: Embedding Interactive Information in 3D Prints Using Low-Cost Readily-Available Printers and Materials

Jiang 等人提出 InfoPrint 方法，利用低成本普通3D打印机和常规材料在打印物体中嵌入交互式信息，实现物理对象的数字化增强与可编程功能。

CSCW '223rd AuthorHuman-AI collaboration; Human-AI collaboration

Understanding How to Administer Voice Surveys through Smart Speakers

Smart speakers have become exceedingly popular and entered many people's homes due to their ability to engage users with natural conversations. Researchers have also looked into using smart speakers as an interface to collect self-reported health data through conversations. Responding to surveys prompted by smart spea…

CHI '214th AuthorAI-Assisted Decision-Making & Automation +2

User Trust in Assisted Decision-Making Using Miniaturized Near-Infrared Spectroscopy

We investigate the use of a miniaturized Near-Infrared Spectroscopy (NIRS) device in an assisted decision-making task. We consider the real-world scenario of determining whether food contains gluten, and we investigate how end-users interact with our NIRS detection device to ultimately make this judgment. In particula…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/6852?source=all