arXiv:2603.11759cs.HCcs.IR2026-03

用顺序决策模型解释用户导航中的试错行为。

Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent

  • 将导航视为受记忆限制的序列决策问题,考虑局部与全局信息嗅觉。
  • 模型准确复现了提前选择、走错路和回溯恢复等真实导航行为。
  • 适合研究人机交互、信息架构设计或认知建模的读者。

用户在信息架构中寻找目标时常遇困难,尤其当链接模糊或层级深时。传统信息嗅觉理论假设用户能看见所有链接再决策,但现实中用户常过早点击、忽略线索,之后依赖回溯纠错。本文将导航重构为受记忆约束的序列决策问题:用户不会扫描整页,而是根据时间预算策略性地查看“足够多”的信息。他们权衡当前页面与整个站点的信息嗅觉,但两者均受限于记忆容量。为节省时间,用户可能未完全检查页面就做出错误选择。与实证数据对比显示,该模型能有效复现提前选择、误入歧途及回溯修复等关键行为。结论表明,在考虑序列性和有限记忆的前提下,信息嗅觉可充分解释用户的试错导航模式。

原文摘要 · Abstract (English)

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. We extend the concept of information scent by framing navigation as a sequential decision-making problem under memory constraints. Specifically, we assume that users do not scan entire pages but instead inspect strategically, looking "just enough" to find the target given their time budget. To choose which item to inspect next, they consider both local (this page) and global (site) scent; however, both are constrained by memory. Trying to avoid wasting time, they occasionally choose the wrong links without inspecting everything on a page. Comparisons with empirical data show that our model replicates key navigation behaviors: premature selections, wrong turns, and recovery from backtracking. We conclude that trial-and-error behavior is well explained by information scent when accounting for the sequential and bounded characteristics of the navigation problem.

人机交互信息架构认知建模

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。