Problem
Research questions and friction points this paper is trying to address.
AI-Generated Email Drafts
Cultural Communication Styles
Professional Email
AI-Generated Email Drafts Shift Culturally Distinctive Communication Styles in Professional Email
๐ค AI Summary
็ ็ฉถ้่ฟๅฎ้ชๆข่ฎจไบAI็ๆ็้ฎไปถ่็จฟๅฆไฝๅฝฑๅๆฅๆฌๅ็พๅฝๅไธ่
็่ไธ้ฎไปถๆฒ้้ฃๆ ผ๏ผๅนถๅ็ฐAI่็จฟๅฏ่ฝๅฏผ่ดๆๅๆฒ้่ง่่ขซ่ฆ็๏ผ้ค้ๅฎไปฌ้ๅบ็จๆท็ๆฒ้้ฃๆ ผใ
๐ Abstract
AI assistants that support email composition may shift cultural communication norms, such as the directness typical of low-context cultures like the US versus the indirectness and contextual sensitivity central to high-context cultures like Japan. Yet it remains unknown to what extent people adopt and edit AI drafts inconsistent with their cultural communication norms. We address this through a preregistered within-subject experiment in which Japanese and American participants wrote workplace emails in their native language without AI, with a low-context AI, and with a high-context AI. We found that Japanese participants wrote emails with significantly more high-context markers (politeness, apologies) than Americans. But AI drafts shifted participants' emails toward the draft's style, with larger shifts when the draft was culturally misaligned: Japanese drifted most under low-context drafts, Americans most under high-context drafts. These findings suggest AI drafts risk overwriting cultural communication norms unless they adapt to users' communication styles.
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI-generated email drafts
cultural communication norms
high-context vs low-context cultures
communication style adaptation
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