activity
20182023
most citedDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

591 citations · 1.4k across the 35 of their papers we have counts for

collaborators
Showing 2023 · cs.HCShow all

5 papers · 2 filters

cs.HC2023

Video2Action: Reducing Human Interactions in Action Annotation of App Tutorial Videos

Sidong Feng, Chunyang Chen, Zhenchang Xing

Tutorial videos of mobile apps have become a popular and compelling way for users to learn unfamiliar app features. To make the video accessible to the users, video creators always…

cs.HC2023★ 1 cited

Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications

Jieshan Chen, Jiamou Sun, Sidong Feng +4

Mobile apps bring us many conveniences, such as online shopping and communication, but some use malicious designs called dark patterns to trick users into doing things that are not…

cs.HC2023★ 1 cited

Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps

Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang +2

With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and inc…

cs.HC2023★ 2 cited

Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata

Mengyu Chen, Zhenchang Xing, Jieshan Chen +2

Virtual assistants have been widely used by mobile phone users in recent years. Although their capabilities of processing user intents have been developed rapidly, virtual assistan…

cs.HC2023★ 12 cited

Voicify Your UI: Towards Android App Control with Voice Commands

Minh Duc Vu, Han Wang, Zhuang Li +3

Nowadays, voice assistants help users complete tasks on the smartphone with voice commands, replacing traditional touchscreen interactions when such interactions are inhibited. How…