most citedGetting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models

4 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20242 cited

Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter

Nuredin Ali, Charles Chuankai Zhang, Ned Mayo +1

Social media data has been used for detecting users with mental disorders, such as depression. Despite the global significance of cross-cultural representation and its potential im…

cs.HC2024

COVID-19 as Reflected in University President Bulk Email

Ruoyan Kong, Charles Chuankai Zhang, Jin Kang +2

E-mail ``Messages From the President'' to university students, staff, and faculty have long been used to keep campus communities aware of the latest policies, events, and news. But…

cs.HC20231 cited

Understanding Structured Knowledge Production: A Case Study of Wikidata's Representation Injustice

Jeffrey Jun-jie Ma, Charles Chuankai Zhang

Wikidata is a multi-language knowledge base that is being edited and maintained by editors from different language communities. Due to the structured nature of its content, the con…

cs.HC20234 cited

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models

Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang +4

A single digital newsletter usually contains many messages (regions). Users' reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platf…

cs.HC2023

Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment

Ruoyan Kong, Chuankai Zhang, Ruixuan Sun +3

Bulk email is often used in organizations to communicate ``important-to-organization'' messages such as policy changes, organizational plans, and administrative updates. However, n…