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Main Authors: Zhu, Jiawen Stefanie, Reinecke, Katharina, Mitra, Tanushree
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.03604
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author Zhu, Jiawen Stefanie
Reinecke, Katharina
Mitra, Tanushree
author_facet Zhu, Jiawen Stefanie
Reinecke, Katharina
Mitra, Tanushree
contents While multilingual users often switch between languages when seeking information, this process remains undersupported by current systems where information is typically siloed by language. Our formative study reveals that users' cross-language transitions are guided by their perceived value of switching to a language, a concept we formalize as language scent. Language scent extends Pirolli and Card's theory of information scent to multilingual scenarios by considering meta-level strategy formation when navigating between different languages. To support language scent, we designed Niffler, a search system that augments language scent and supports cross-language information navigation through contextual cues, in-situ tools, and reflection support. A lab study with 16 multilingual speakers showed that Niffler facilitated the formation and execution of exploratory and granular search strategies and leads to diverse information being gathered. Our findings establish language scent as a valuable lens on cross-language information seeking, highlighting language's role in enabling access to broader information and offering concrete implications for the design of multilingual search systems.
format Preprint
id arxiv_https___arxiv_org_abs_2604_03604
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Language Scent: Exploring Cross-Language Information Navigation
Zhu, Jiawen Stefanie
Reinecke, Katharina
Mitra, Tanushree
Human-Computer Interaction
While multilingual users often switch between languages when seeking information, this process remains undersupported by current systems where information is typically siloed by language. Our formative study reveals that users' cross-language transitions are guided by their perceived value of switching to a language, a concept we formalize as language scent. Language scent extends Pirolli and Card's theory of information scent to multilingual scenarios by considering meta-level strategy formation when navigating between different languages. To support language scent, we designed Niffler, a search system that augments language scent and supports cross-language information navigation through contextual cues, in-situ tools, and reflection support. A lab study with 16 multilingual speakers showed that Niffler facilitated the formation and execution of exploratory and granular search strategies and leads to diverse information being gathered. Our findings establish language scent as a valuable lens on cross-language information seeking, highlighting language's role in enabling access to broader information and offering concrete implications for the design of multilingual search systems.
title Language Scent: Exploring Cross-Language Information Navigation
topic Human-Computer Interaction
url https://arxiv.org/abs/2604.03604