摘要
为探索处于技术变革时代的青年对聊天机器人的现实发展期待与关系想象,基于设计访谈法,邀请30位青年用户进行为期一周的陪伴型聊天机器人产品体验后,收集其反馈并开展深度访谈。研究发现,青年用户对陪伴型聊天机器人的技术期待主要围绕其作为“交流对象”与“技术中介”的角色定位展开:前者表现为对聊天机器人“神形兼备”的拟人要求,后者则表现为对聊天机器人多元联通的中介要求。在人机互动的关系期待层面,青年用户对与聊天机器人的身份区隔和规则共建的追求使得其在人机关系期待方面呈现出不同于人际关系的异质性特征。青年用户对陪伴型聊天机器人的技术期待与关系想象研究,对陪伴型聊天机器人设计开发具有实际价值,也能在理论层面对人机关系的想象与实践探究有所启发。
As a core technology of the fourth Industrial Revolution,artificial intelligence is set to profoundly impact social life.The study aims to explore the practical expectations and relational imaginations of young people towards companion chatbots in an era of technological transformation.Based on the design interview method,30 young users were invited to engage with a companion chatbot product for one week,after which their feedback was collected through in-depth interviews.The findings reveal that young users’technological expectations for companion chatbots are primarily centered around two roles:as“communication agents”and as“technical mediators”.The former reflects a demand for the chatbot to achieve a“form and spirit”balance in human-like interaction,while the latter emphasizes the need for the chatbot to function as a versatile connectivity facilitator.In terms of relational expectations in human-machine interaction,young users’pursuit of identity differentiation and collaborative rule-building with the chatbot reflects a heterogeneous characteristic that differs from traditional interpersonal relationships.The study of technological expectations and relational imaginations of young users towards companion chatbots not only offers practical insights into the design and development of companion chatbots,but also provides theoretical contributions to the exploration of human-machine relational imagination and interaction practices.
作者
曹博林
支冰洁
CAO Bolin;ZHI Bingjie(School of Media and Communication,Shenzhen University,Shenzhen Guangdong 518060,China)
出处
《长沙大学学报》
2025年第1期41-49,共9页
Journal of Changsha University
基金
国家社会科学基金项目“AI人机互动促进心理健康的传播效能研究”(22CXW012)。
关键词
聊天机器人
技术期待
心理健康
人机互动
chatbots
technological expectation
mental health
human-machine communication
