Triangulating user behavior using eye movement, interaction, and think aloud data

Research article (Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016) · cited 29× · AI/ML
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Triangulating user behavior using eye movement, interaction, and think aloud data

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Triangulating user behavior using eye movement, interaction, and think aloud data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Triangulating user behavior using eye movement, interaction, and think aloud data. Retrieved May 24, 2026, from https://4ort.xyz/entity/triangulating-user-behavior-using-eye-movement-interaction-and-think-aloud-data
MLA “Triangulating user behavior using eye movement, interaction, and think aloud data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/triangulating-user-behavior-using-eye-movement-interaction-and-think-aloud-data.
BibTeX @misc{4ortxyz_triangulating-user-behavior-using-eye-movement-interaction-and-think-aloud-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Triangulating user behavior using eye movement, interaction, and think aloud data}}, year = {2026}, url = {https://4ort.xyz/entity/triangulating-user-behavior-using-eye-movement-interaction-and-think-aloud-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Triangulating user behavior using eye movement, interaction, and think aloud data — https://4ort.xyz/entity/triangulating-user-behavior-using-eye-movement-interaction-and-think-aloud-data (retrieved 2026-05-24)

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