Using Eye-Tracking to Demonstrate Children’s Attention to Detail When Evaluating Low-Fidelity Prototypes
Gavin Sim; Janet C Read · 2024 · Interacting with Computers
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract This study used eye-tracking glasses to better understand how children explore low-fidelity prototypes in the context of user experience studies and to explore the potential of eye tracking in this context. The main research…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.1093/iwc/iwad052