Evi Dalmaijer

Papers

Total Citations

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About

Evi Dalmaijer’s research sits at the intersection of human-robot interaction, conversation analysis, and gender studies, exploring how people navigate gender attribution when faced with a designedly gender-ambiguous robot. Her major contribution is demonstrating that even when a robot is intentionally presented without gendered cues, users do not simply ignore gender—they actively work to resolve the ambiguity through talk. Using meticulous conversation analysis of video-recorded interactions, Dalmaijer reveals that gender attribution is not just a linguistic reflex but is deeply tied to what participants are doing socially (action relevance). Her 2024 paper, cited 6 times, shows how users deploy repair strategies like hesitations (“This uh... young lady young gentleman”) to manage the mismatch between their expectations and the robot’s ambiguous presentation. A 2025 follow-up, with 3 citations, further unpacks how gender becomes relevant to the ongoing social action. Though early in her career, Dalmaijer’s work is already shaping debates on inclusive design in robotics, challenging the field to move beyond binary defaults and consider how interactional practices can inform more thoughtful, less stereotypical technology.