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Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture

Research article (Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021) · cited 16× · AI/ML
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Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture

Summary

Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture is a scholarly article[1].

Key Facts

  • Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture. Retrieved May 24, 2026, from https://4ort.xyz/entity/think-aloud-computing-supporting-rich-and-low-effort-knowledge-capture
MLA “Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/think-aloud-computing-supporting-rich-and-low-effort-knowledge-capture.
BibTeX @misc{4ortxyz_think-aloud-computing-supporting-rich-and-low-effort-knowledge-capture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture}}, year = {2026}, url = {https://4ort.xyz/entity/think-aloud-computing-supporting-rich-and-low-effort-knowledge-capture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture — https://4ort.xyz/entity/think-aloud-computing-supporting-rich-and-low-effort-knowledge-capture (retrieved 2026-05-24)

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