45 citations · 80 across the 9 of their papers we have counts for
9 papers
Screen Correspondence: Mapping Interchangeable Elements between UIs
Jason Wu, Amanda Swearngin, Xiaoyi Zhang +2
Understanding user interface (UI) functionality is a useful yet challenging task for both machines and people. In this paper, we investigate a machine learning approach for screen…
Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements
Jason Wu, Titus Barik, Xiaoyi Zhang +3
Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, bec…
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels
Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin +9
Many accessibility features available on mobile platforms require applications (apps) to provide complete and accurate metadata describing user interface (UI) components. Unfortuna…
A Computational Method for Evaluating UI Patterns
Bardia Doosti, Tao Dong, Biplab Deka +1
UI design languages, such as Google's Material Design, make applications both easier to develop and easier to learn by providing a set of standard UI components. Nonetheless, it is…
Recommending Targeted Strangers from Whom to Solicit Information on Social Media
Jalal Mahmud, Michelle X. Zhou, Nimrod Megiddo +2
We present an intelligent, crowd-powered information collection system that automatically identifies and asks target-ed strangers on Twitter for desired information (e.g., cur-rent…
Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information
Kyumin Lee, Jalal Mahmud, Jilin Chen +2
There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in a…
Optimizing The Selection of Strangers To Answer Questions in Social Media
Jalal Mahmud, Michelle Zhou, Nimrod Megiddo +2
Millions of people express themselves on public social media, such as Twitter. Through their posts, these people may reveal themselves as potentially valuable sources of informatio…
Home Location Identification of Twitter Users
Jalal Mahmud, Jeffrey Nichols, Clemens Drews
We present a new algorithm for inferring the home location of Twitter users at different granularities, including city, state, time zone or geographic region, using the content of…
Why Are You More Engaged? Predicting Social Engagement from Word Use
Jalal Mahmud, Jilin Chen, Jeffrey Nichols
We present a study to analyze how word use can predict social engagement behaviors such as replies and retweets in Twitter. We compute psycholinguistic category scores from word us…