探索人类与对话智能体对话中语言模式的性别偏见
Exploring Gender Biases in Language Patterns of Human-Conversational Agent Conversations
AI总结：
本研究探讨对话智能体（CAs）的性别设计如何触发并强化用户的性别偏见，分析人机交互的语言模式，为促进性别平等的伦理设计提供指导。
摘要：
随着人机通信的兴起，机器越来越多地被设计成具有性别等类人特征，这可能会无意中引发认知偏见。许多对话智能体（CAs），如语音助手和聊天机器人，默认使用女性形象，引发了对延续性别刻板印象和不平等的担忧。关于这些技术可能物化女性并强化性别刻板印象的批评也随之出现。这项研究位于对话AI设计领域，旨在深入探讨人类与CA交互中性别偏见的影响。从行为和通信研究的角度来看，该计划不仅关注感知，还关注用户与CA交互时的语言风格，这是以往研究很少探索的。它旨在了解现有的性别偏见如何被CA的性别设计所触发。它进一步调查了CA的性别设计如何可能强化性别偏见并将其扩展到人与人之间的通信中。研究结果旨在为对话智能体的伦理设计提供信息，探讨在CA中进行性别分配是否合适以及如何在设计中促进性别平等。
英文摘要：
With the rise of human-machine communication, machines are increasingly designed with humanlike characteristics, such as gender, which can inadvertently trigger cognitive biases. Many conversational agents (CAs), such as voice assistants and chatbots, default to female personas, leading to concerns about perpetuating gender stereotypes and inequality. Critiques have emerged regarding the potential objectification of females and reinforcement of gender stereotypes by these technologies. This research, situated in conversational AI design, aims to delve deeper into the impacts of gender biases in human-CA interactions. From a behavioral and communication research standpoint, this program focuses not only on perceptions but also the linguistic styles of users when interacting with CAs, as previous research has rarely explored. It aims to understand how pre-existing gender biases might be triggered by CAs' gender designs. It further investigates how CAs' gender designs may reinforce gender biases and extend them to human-human communication. The findings aim to inform ethical design of conversational agents, addressing whether gender assignment in CAs is appropriate and how to promote gender equality in design.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
