AIGC提示词搜索场景下用户采纳行为影响因素研究OACHSSCD
Study of Users'Adoption Behavior Factors in AIGC Prompt Search Scenarios
[目的/意义]AIGC时代,提示词是连接用户需求与AI输出的核心媒介.本研究基于信息觅食理论,揭示提示词搜索场景下用户采纳行为的影响机理,明确"信息气味线索"的作用路径,为社区优化与决策效率提升提供支撑.[方法/过程]构建"信息气味线索—生成效益感知—采纳行为"模型,选取结构复杂度、描述具体性、社区热度、创作者信誉四类线索,采用情景模拟问卷收集512份有效样本,运用结构方程模型验证假设.[结果/结论]四类线索均显著正向影响生成效益感知,其中创作者信誉影响最强;生成效益感知在信息气味线索与采纳行为间发挥差异化中介作用(对结构复杂度、创作者信誉完全中介,对描述具体性、社区热度部分中介).研究厘清了"线索预判—效益感知—行为落地"的决策链条,拓展了信息觅食理论在人智交互场景的应用.
[Purpose/Significance]In the era of AIGC,prompts are the core medium connecting users'needs and AI outputs.Based on the information foraging theory,this study reveals the influence mechanism of users'adoption behavior in the context of prompt search,clarifies the action path of information scent cues,and provides support for community opti-mization and improvement of decision-making efficiency.[Method/Process]A model of"information scent cues-perceived generative benefits-adoption behavior"was constructed.Four types of cues,namely structural complexity,descriptive specificity,community popularity,and creator reputation,were selected.A scenario simulation questionnaire was used to collect 512 valid samples,and the structural equation model was applied to verify the hypotheses.[Result/Conclusion]All four types of cues have a significant positive impact on the perceived generative benefits,among which creator reputation has the strongest influence;perceived generative benefits play a differentiated mediating role between information scent cues and adoption behavior(full mediation for structural complexity and creator reputation,and partial mediation for descriptive specificity and community popularity).The study clarifies the decision-making chain of"cue prediction-benefit perception-behavior implementation"and expands the application of information foraging theory in human-AI interaction scenarios.
巫芯宇;滕广青
西南大学图书馆,重庆 400715东北师范大学信息科学与技术学院,吉林 长春 130117
社会科学
信息觅食理论AIGC提示词搜索场景用户采纳行为生成效益感知
information foraging theoryAIGCprompt search scenariosuser adoption behaviorperception of gene-rative benefits
《现代情报》 2026 (10)
133-145,13
国家社会科学基金项目"人工智能生成内容驱动智慧图书馆服务模式创新的理论与实践研究"(项目编号:23BTQ006)教育部产学合作协同育人项目"生成式智能体赋能知识服务创新研究"(项目编号:251201229020207)重庆市社会科学规划项目"乡村阅读与乡村建设研究"(项目编号:2025NDYB108)"文旅数字化转型中巴蜀方言IP的价值重构与实现机制"(项目编号:yyk25204)CALIS农学中心2025年研究项目"数字人驱动的图书馆智能服务与教育转型研究"(项目编号:2025068).
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