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Edwin Zhao

dblp:264/7048 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-7110-6207ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
2 papers
Learning and educational technologies · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › visual analytics
exploratory data analysis
0.912025
Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction · CHI 2025
Visualization and visual analytics › spatial visualization
spatial data visualization
0.912025
The Interaction Geography Slicer: Designing Exploratory Spatial Data Visualization Tools for Teachers' Reflective Practice · CHI 2025
Visualization and visual analytics › visual analytics
visual analytics for education
0.522025
The Interaction Geography Slicer: Designing Exploratory Spatial Data Visualization Tools for Teachers' Reflective Practice · CHI 2025
Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction · CHI 2025

Methods — techniques the papers use, named apart from their topics

visualization design · 1.7visual analytics · 0.9design-based research · 0.9case study · 0.9
YearPublicationVenuePosition
2025 Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction
Ben Rydal Shapiro, Rogers P. Hall, Arpit Mathur, Edwin Zhao
CHI4
2025 The Interaction Geography Slicer: Designing Exploratory Spatial Data Visualization Tools for Teachers' Reflective Practice
Ben Rydal Shapiro, Elizabeth C. Metts, Edwin Zhao
CHI3
2020 Re-Shape: A Method to Teach Data Ethics for Data Science Education
abstract
Data has become central to the technologies and services that human-computer interaction (HCI) designers make, and the ethical use of data in and through these technologies should be given critical attention throughout the design process. However, there is little research on ethics education in computer science that explicitly addresses data ethics. We present and analyze Re-Shape, a method to teach students about the ethical implications of data collection and use. Re-Shape, as part of an educational environment, builds upon the idea of cultivating care and allows students to collect, process, and visualize their physical movement data in ways that support critical reflection and coordinated classroom activities about data, data privacy, and human-centered systems for data science. We also use a case study of Re-Shape in an undergraduate computer science course to explore prospects and limitations of instructional designs and educational technology such as Re-Shape that leverage personal data to teach data ethics.
Ben Rydal Shapiro, Amanda Meng, Cody O'Donnell, Charlotte Lou, Edwin Zhao, Bianca Dankwa, Andrew L. Hostetler
CHI5