发表机构
Electrical Engineering and Computer Sciences Department, UC Berkeley; AMGA Ski Guide（加州大学伯克利分校电气工程和计算机科学系; 美国高山向导协会滑雪向导）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文从人机交互视角提出“人技因素”概念，沿注意力、认知、信任与社会互动四维度审视技术对雪崩决策的双面影响，并基于FACETS框架识别出双面效应与“数字专家光环”等模式。
AI 中文摘要
雪崩安全文献已识别出导致事故的人为因素，然而研究者指出这些见解与有效产品设计之间存在持续差距。与此同时，交互技术正在塑造偏远地区（backcountry）的决策过程，无论其是否基于理论与研究。我们从人机交互（HCI）视角，将人为因素的讨论扩展为“人技因素”，审视技术如何在雪崩地形中既支持又削弱判断。我们沿四个维度——注意力、认知、信任与社会互动——总结相关HCI概念，并用以重新审视McCammon的FACETS框架，基于事故报告与文献尽可能系统地分类特定技术可能缓解或加剧经典启发式陷阱的方式。我们识别出反复出现的模式，包括具有双面效应的技术以及普遍存在的“数字专家光环”。
英文摘要
The avalanche safety literature has identified human factors that contribute to accidents, yet researchers note a persistent gap between these insights and effective product design. Meanwhile, interactive technologies are shaping backcountry decision making with or without grounding in theory and research. We broaden the discussion of human factors into ``human-technology factors," examining how technology can both support and undermine judgment in avalanche terrain, from a human-computer interaction (HCI) perspective. We summarize relevant HCI concepts along four dimensions - attention, cognition, trust, and social interaction - and use them to revisit McCammon's FACETS framework, cataloging ways in which specific technologies may mitigate or exacerbate classic heuristic traps, grounded in accident reports and literature where possible. We identify recurring patterns, including technologies with dual-sided effects and a pervasive ``digital expert halo."
CommentsPreprint of ISSW 2026 paper
