AI RESEARCH
Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent
arXiv CS.LG
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ArXi:2603.11759v1 Announce Type: cross Users often struggle to locate an item within an information architecture, particularly when links are ambiguous or deeply nested in hierarchies. Information scent has been used to explain why users select incorrect links, but this concept assumes that users see all available links before deciding. In practice, users frequently select a link too quickly, overlook relevant cues, and then rely on backtracking when errors occur.