摘要
把握新发展阶段下“扩大内需”战略基点所带来的关键契机,运用前沿数字技术,充分挖掘和释放我国体育消费潜力,是推进我国体育消费高质量发展的当务之急和长远之需。研究在分析大众体育消费需求演进历程的基础上,对生成式AI赋能大众体育消费需求表达的内在机理与场景应用进行解构,发现生成式AI赋能大众体育消费需求表达存在的问题主要有认知图式限制体育消费“微粒化”需求表达,数字素养差异掣肘体育消费长尾需求挖掘,技术固有缺陷削弱体育消费需求表达灵感生成,信息收集异化限制体育消费需求众创内容生产。研究认为,在生成式AI赋能大众体育消费需求表达过程中,应持续优化体育消费AI交互算法,精准突破个体认知图式局限;充分释放数字技术普惠红利,提升个体体育消费需求表达规模;深化生成式AI技术多组态应用,触发个体体育消费需求创意灵感;优化数据隐私保护与信息收集机制,夯实个体体育需求表达信任基础。
Harnessing the strategic opportunities of“expanding domestic demand”in the new development phase and utilizing cutting-edge digital technologies to fully tap into and unlock the sports consumption potential in the country has become both an urgent priority and a long-term necessity for promoting high-quality growth in sports consumption.Based on an analysis of the evolution of public sports consumption demand,this study deconstructs the internal mechanisms and practical applications of generative AI in empowering the expression of such demand.The study identifies several key issues:Cognitive schema restrict the granular expression of sports consumption demand;disparities in digital literacy impede the exploration of long-tail demand;inherent technological limitations diminish the generation of inspiration for expressing sports consumption demand;and the distortion of information collection constrains the co-creation of content related to sports consumption demand.The study suggests that in the process of generative AI empowering public sports consumption demand expression,it is crucial to continuously refine AI interaction algorithms in sports consumption to precisely bridge the differences in individual cognitive schema.Moreover,the inclusive benefits of digital technology should be fully realized to enhance the scale of individual sports consumption demand expression.Generative AI’s multi-configurational applications should be deepened to spark creative inspiration for individual sports consumption demand.Lastly,data privacy protection and information collection mechanisms need to be optimized to solidify the foundation of trust for expressing individual sports consumption demand.
作者
李荣日
赵泓羽
LI Rongri;ZHAO Hongyu(Institute of Sports Economic Theory,East China University of Science and Technology,Shanghai 200237,China;School of Business,East China University of Science and Technology,Shanghai 200237,China)
出处
《体育科学》
北大核心
2024年第6期63-71,共9页
China Sport Science
基金
国家社会科学基金一般项目(22BTY025)。
关键词
生成式人工智能
体育消费
消费潜力
generative artificial intelligence
sports consumption
consumption potential