The rapid development of voice navigation systems and voice-based interfaces in vehicles has transformed driver–technology interaction while introducing new implications for driver trust and driving safety. This study systematically examines how gendered voice navigation influences driver trust and risky driving behavior across WEIRD and non-WEIRD cultural contexts. Using a Systematic Literature Review (SLR) approach based on PRISMA guidelines and bibliometric analysis, we selected 32 articles from an initial pool of 1,351 publications (2021–2026) retrieved from Google Scholar and ScienceDirect. The findings indicate that voice characteristics, including gender, pitch, dominance level, and linguistic style, indirectly influence driving behavior through trust-related psychological mechanisms. Suboptimal trust levels, in the form of undertrust or overtrust, contribute to risky driving behaviors, such as distraction, cognitive overload, delayed takeover responses, and traffic violations. The influence of voice gender is stronger in non-WEIRD contexts, where trust develops more heuristically through social cues, than in WEIRD contexts, which rely more on system reliability evaluation. Therefore, voice navigation systems should be adaptive, gender-sensitive, and designed to support optimal trust calibration across diverse cultural contexts. Keywords: Driver trust; Gendered voice navigation; Risky driving behavior; Traffic psychology; WEIRD and non-WEIRD contexts
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