Philip J. Guo

schoolUniversity of Californiabar_chart#2185 Global Rank

Total Papers

HCI Rank

#2185

Research Areas

Years Active

Recent Publications

Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists

Data wrangling is a difficult and time-consuming activity in computational notebooks, and existing wrangling tools do not fit the exploratory workflow for data scientists in these environments. We propose a unified interaction model based on programming-by-example that generates readable code for a variety of useful d…

CHI '19CorrespondingHonorable MentionProgramming Education & Computational Thinking +1

Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges

Data science has been growing in prominence across both academia and industry, but there is still little formal consensus about how to teach it. Many people who currently teach data science are practitioners such as computational researchers in academia or data scientists in industry. To understand how these practitio…

CHI '183rd AuthorHonorable MentionOnline Learning & MOOC Platforms +2

Mismatch of Expectations: How Modern Learning Resources Fail Conversational Programmers

Conversational programmers represent a class of learners who are not required to write any code, yet try to learn programming to improve their participation in technical conversations. We carried out interviews with 23 conversational programmers to better understand the challenges they face in technical conversations,…

CHI '18CorrespondingMultilingual & Cross-Cultural Voice Interaction +1

Non-Native English Speakers Learning Computer Programming: Barriers, Desires, and Design Opportunities

People from nearly every country are now learning computer programming, yet the majority of programming languages, libraries, documentation, and instructional materials are in English. What barriers do non-native English speakers face when learning from English-based resources? What desires do they have for improving…

UIST '18CorrespondingInteractive Data Visualization +2

Porta: Profiling Software Tutorials Using Operating-System-Wide Activity Tracing

It can be hard for tutorial creators to get fine-grained feedback about how learners are actually stepping through their tutorials and which parts lead to the most struggle. To provide such feedback for technical software tutorials, we introduce the idea of tutorial profiling, which is inspired by software code profil…

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