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Evaluating Gender Ambiguity, Novelty and Anthropomorphism in Humming and Talking Voices for Robots

Johanna Magdalena Kuch, Jauwairia Nasir, Silvan Mertes, Ruben Schlagowski, Christian Becker-Asano, Elisabeth André

发表年份
2024
引用次数
3

摘要

This paper investigates the effects of gender neutralization on the perception of anthropomorphism, gender specificity, and novelty for human voices, comparing spoken and hummed voice modalities. We evaluated gender-neutralized and original voice samples in both spoken and hummed formats using an online survey. Our results confirm that gender-neutralizing filters effectively reduce perceived gender specificity in both modalities, supporting their use in creating gender-neutral voices for humanoid robots. Hummed voices were perceived as more anthropomorphic and less novel than spoken voices, suggesting that non-verbal sound modalities can enhance the human likeness of gender-neutral androids while maintaining gender ambiguity. The study contributes to HRI by highlighting the potential of humming to fulfill users’ expectations of interaction with android robots.

关键词

NoveltyAmbiguityHumRobotComputer sciencePsychologyHuman–computer interactionCognitive psychologyArtificial intelligenceSocial psychology

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