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TableTalk: Scaffolding Spreadsheet Development with a Language Agent

delete2025-12-09
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PRE
AI
J
Jenny T. Liang
A
Aayush Kumar
Y
Yasharth Bajpai
S
Sumit Gulwani
V
Vu Le
C
Chris Parnin
A
Arjun Radhakrishna
A
Ashish Tiwari
E
Emerson Murphy-Hill
G
Gustavo Soares
DOI:10.1145/3765286delete
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Abstract

Abstract

En 中文
Spreadsheet programming is challenging. Programmers use spreadsheet programming knowledge (e.g., formulas) and problem-solving skills to combine actions into complex tasks. Advancements in large language models have introduced language agents that observe, plan, and perform tasks, showing promise for spreadsheet creation. We present TableTalk, a spreadsheet programming agent embodying three design principles—scaffolding, flexibility, and incrementality—derived from studies with seven spreadsheet programmers and 85 Excel templates. TableTalk guides programmers through structured plans based on professional workflows, generating three potential next steps to adapt plans to programmer needs. It uses pre-defined tools to generate spreadsheet components and incrementally build spreadsheets. In a study with 20 programmers, TableTalk produced higher-quality spreadsheets 2.3 times more likely to be preferred than the baseline. It reduced cognitive load and thinking time by 12.6%. From this, we derive design guidelines for agentic spreadsheet programming tools and discuss implications on spreadsheet programming, end-user programming, AI-assisted programming, and human-agent collaboration.

Journal

ACM Transactions on Computer-Human Interaction cover
ACM Transactions on Computer-Human Interaction
IF:
6.6
Papers:
64
Citations:
3.9K

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No organization information available