Is this real? Generating synthetic data that looks real

Miro Mannino; Azza Abouzied

doi:10.1145/3332165.3347866

Is this real? Generating synthetic data that looks real

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Synner is a tool that helps users generate real-looking synthetic data by visually and declaratively specifying the properties of the dataset such as each field's statistical distribution, its domain, and its relationship to other fields. It provides instant feedback on every user interaction by updating multiple visualizations of the generated dataset and even suggests data generation specifications from a few user examples and interactions. Synner visually communicates the inherent randomness of statistical data generation. Our evaluation of Synner demonstrates its effectiveness at generating realistic data when compared with Mockaroo, a popular data generation tool, and with hired developers who coded data generation scripts for a fee.

Original language	English (US)
Title of host publication	UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
Publisher	Association for Computing Machinery, Inc
Pages	549-561
Number of pages	13
ISBN (Electronic)	9781450368162
DOIs	https://doi.org/10.1145/3332165.3347866
State	Published - Oct 17 2019
Event	32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019 - New Orleans, United States Duration: Oct 20 2019 → Oct 23 2019

Publication series

Name	UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Conference

Conference	32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019
Country/Territory	United States
City	New Orleans
Period	10/20/19 → 10/23/19

Keywords

Data generation
Mixed-initiative UI
Uncertainty visualization

ASJC Scopus subject areas

Human-Computer Interaction
Software

Access to Document

10.1145/3332165.3347866

Cite this

Mannino, M., & Abouzied, A. (2019). Is this real? Generating synthetic data that looks real. In UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (pp. 549-561). (UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/3332165.3347866

Is this real? Generating synthetic data that looks real. / Mannino, Miro; Abouzied, Azza.
UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2019. p. 549-561 (UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mannino, M & Abouzied, A 2019, Is this real? Generating synthetic data that looks real. in UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, Inc, pp. 549-561, 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, United States, 10/20/19. https://doi.org/10.1145/3332165.3347866

Mannino M, Abouzied A. Is this real? Generating synthetic data that looks real. In UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2019. p. 549-561. (UIST 2019 - Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology). doi: 10.1145/3332165.3347866

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Is this real? Generating synthetic data that looks real

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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