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e-Seesaw

Research article (Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016) · cited 15× · AI/ML
academia openalex:W2346771967
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e-Seesaw

Summary

e-Seesaw is a scholarly article[1].

Key Facts

  • e-Seesaw's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). e-Seesaw. Retrieved May 24, 2026, from https://4ort.xyz/entity/e-seesaw
MLA “e-Seesaw.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/e-seesaw.
BibTeX @misc{4ortxyz_e-seesaw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{e-Seesaw}}, year = {2026}, url = {https://4ort.xyz/entity/e-seesaw}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): e-Seesaw — https://4ort.xyz/entity/e-seesaw (retrieved 2026-05-24)

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