Shanqing Cai

schoolGooglebar_chart#3376 Global Rank

Total Papers

HCI Rank

#3376

Research Areas

Years Active

Recent Publications

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

While voice input offers a convenient alternative to traditional text editing on mobile devices, practical implementations face two key challenges: 1) reliably distinguishing between editing commands and content dictation, and 2) effortlessly pinpointing the intended edit location. We propose Tap&Say, a novel multimod…

UIST '242nd AuthorHuman-LLM Collaboration +2

SkipWriter: LLM-Powered Abbreviated Writing on Tablets

Large Language Models (LLMs) may offer transformative opportunities for text input, especially for physically demanding modalities like handwriting. We studied a form of abbreviated handwriting by designing, developing, and evaluating a prototype, named SkipWriter, that converts handwritten strokes of a variable-lengt…

UIST '242nd AuthorVibrotactile Feedback & Skin Stimulation +1

Can Capacitive Touch Images Enhance Mobile Keyboard Decoding?

Capacitive touch sensors capture the two-dimensional spatial profile (referred to as a touch heatmap) of a finger's contact with a mobile touchscreen. However, the research and design of touchscreen mobile keyboards -- one of the most speed and accuracy demanding touch interfaces -- has focused on the location of the…

CHI '245th+ AuthorVoice User Interface (VUI) Design +2

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation

Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This paper presents Rambler, an LLM-powered graphical user interface that supports gist-level manipulation of dictated text with two main set…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/12052?source=all