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

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 2 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.HC2023★ 1 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.HC2023★ 4 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★ 3 cited

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…