Eschewing Gender Stereotypes in Voice Assistants to Promote Inclusion
Eschewing Gender Stereotypes in Voice Assistants to Promote Inclusion
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避免语音助手中的性别刻板印象以促进包容性
DOI：
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发表时间：
2020
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影响因子：
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通讯作者：
Andreea Danielescu
中科院分区：
文献类型：
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作者：
Andreea Danielescu
对话语音助手的广泛采用塑造了我们与这项技术互动的方式，同时突出和强化了负面的刻板印象。例如，对话系统经常使用女性声音作为辅助角色。它们还完全排除了边缘化群体，如非二元个体。语音识别系统也有明显的性别，种族和方言偏见[14，15，19]。相反，这些系统有机会帮助改变性别规范，促进包容性和多样性，因为我们继续努力实现性别平等[10]，并在地球仪[13]上实现LGBTQ+权利。然而，先前的研究声称，用户强烈不喜欢没有明确性别标记的声音或声音与个性之间的不一致[12]。这需要更多的研究来了解语音助手如何在促进用户采用的同时不使性别偏见永久化。
The wide adoption of conversational voice assistants has shaped how we interact with this technology while simultaneously highlighting and reinforcing negative stereotypes. For example, conversational systems often use female voices in subservient roles. They also exclude marginalized groups, such as non-binary individuals, altogether. Speech recognition systems also have significant gender, race and dialectal biases [14, 15, 19]. Instead, there is an opportunity for these systems to help change gender norms and promote inclusion and diversity as we continue to struggle with gender equality [10], and progress towards LGBTQ+ rights across the globe [13]. However, prior research claims that users strongly dislike voices without clear gender markers or misalignments between a voice and personality [12]. This calls for additional research to understand how voice assistants may be designed to not perpetuate gender bias while promoting user adoption.