Weijia He

schoolUniversity of Chicagobar_chart#5939 Global Rank

Total Papers

HCI Rank

#5939

Research Areas

Years Active

Recent Publications

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

Large language models (LLMs) like GPT-4 can convert natural-language descriptions of a task into computer code, making them a promising interface for end-user programming. We undertake a systematic analysis of how people with and without programming experience describe information-processing tasks (IPTs) in natural la…

CHI '195th+ AuthorPrototyping & User Testing +1

How Users Interpret Bugs in Trigger-Action Programming

Trigger-action programming (TAP) is a programming model enabling users to connect services and devices by writing if-then rules. As such systems are deployed in increasingly complex scenarios, users must be able to identify programming bugs and reason about how to fix them. We first systematize the temporal paradigms…

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