人机互动中的自我表露与隐私计算动态关系研究

The Dynamic Relationship between Self-disclosure and Private Computing in Human-machine Communication

随着可交流的AI技术发展,人与媒介的关系将被重新定义和塑造。本文以隐私计算理论为视角,通过调查1126名AI聊天机器人用户,探究其在人机互动中的感知收益和感知隐私风险与自我表露意向之间的关系。结果发现,人们对聊天机器人有着开放的情绪表露意愿和谨慎的身份表露意愿。人们在身份表露时理性地权衡隐私风险与预期收益;但在情绪表露时,人们不受感知隐私风险影响,大胆地向机器人敞开心扉。本研究有助于理解未来人机交流的走向趋势。

With the development of communicative AI technologies,the relationships between human beings and media are likely to be redefined and reshaped.Relying on the privacy computing theory and through a survey on 1,126 AI chatbot users,this study focuses on examining the dynamics of their self-disclosure,perceived expected benefits and privacy control in communication practices with chatbots.This study finds that people have an open willingness to disclose their emotions but a cautious willingness to disclose their identities.They rationally weigh privacy risks against expected benefits when making identical disclosures,but the risk perceptions are nullified when making emotional disclosures,therefore people boldly open up to robots.This study can contribute to understanding the future trend of human-machine interaction.