技术想象与技术实践的交织——科学传播视域下公众对生成式人工智能的认知、评估与使用

刘鸣筝; 王硕

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国际新闻界 ›› 2024, Vol. 46 ›› Issue (4) : 32-51.

本期话题/人工智能与算法研究

技术想象与技术实践的交织——科学传播视域下公众对生成式人工智能的认知、评估与使用

刘鸣筝 ,
王硕

作者信息 +

The Interweaving of Technological Imagination and Technological Practice: The Public’s Cognition, Evaluation, and Use of Generative Artificial Intelligence from the Perspective of Scientific Communication

LIU Mingzheng ,
WANG Shuo

Author information +

文章历史 +

摘要

本研究旨在探究人机交互中公众对生成式人工智能的认知、评估与使用情况。借助科学传播理论和AIDUA研究框架，对1805份样本数据进行结构方程模型分析，研究深入探讨了公众对生成式人工智能多维认知态度的形成因素，以及其对公众细分内容生产行为的影响路径。研究发现，公众对生成式人工智能的认知、评估与使用是在技术想象与技术实践交织互构的情境下进行的。在初次评估阶段，个体的科技乐观主义人格、先验技术经验以及其周边社群的社会影响力等前端外围因素构建了公众的技术想象，驱动着他们对生成式人工智能的认知与实践。在二次评估阶段，公众基于技术实践而形成的生成式人工智能使用、收益与风险感知织造了他们对生成式人工智能积极与消极交织的多维认知态度。在行为结果阶段，公众的多维认知态度深刻地影响着他们细化的内容生产。

Abstract

This study aims to explore the public’s perception, assessment and use of Generative Artificial Intelligence in human-computer interaction. With the help of science communication theory and the AIDUA research framework, and structural equation modeling analysis of 1805 sample data, the study deeply explores the factors that form the public’s multidimensional cognitive attitudes towards Generative Artificial Intelligence, as well as the paths that influence the public’s segmented content production behaviors. The study finds that the public’s cognition, assessment and use of generative AI take place in a context of intertwined and Interco structed technological imagination and technological practice. In the primary assessment stage, the public’s technological outlook is shaped by peripheral, front-end factors, including an individual’s optimistic technological disposition, prior technological experiences, and the influence of their local community. These elements drive their perceptions and practical engagement with GAI. In the subsequent evaluation stage, the public’s understanding of GAI’s usage, advantages, and potential risks, informed by their own technological activities, gives rise to a complex cognitive attitude that encompasses both favorable and unfavorable elements. Ultimately, at the behavioral outcome stage, these multidimensional cognitive attitudes significantly impact the public's intricate content creation decisions.

导出引用

刘鸣筝, 王硕. 技术想象与技术实践的交织——科学传播视域下公众对生成式人工智能的认知、评估与使用[J]. 国际新闻界. 2024, 46(4): 32-51

LIU Mingzheng, WANG Shuo. The Interweaving of Technological Imagination and Technological Practice: The Public’s Cognition, Evaluation, and Use of Generative Artificial Intelligence from the Perspective of Scientific Communication[J]. Chinese Journal of Journalism & Communication. 2024, 46(4): 32-51

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	高鑫鹏, 李娜(2023). 社会技术想象视域下ChatGPT的“媒介神话叙事”——基于微信公众平台的计算机辅助内容分析. 《新闻记者》,(10),28-44. 本文引用 [1]

[2]	何薇, 张超, 任磊, 黄乐乐(2021). 中国公民的科学素质及对科学技术的态度——2020年中国公民科学素质抽样调查报告. 《科普研究》,(2),5-17+107. 本文引用 [1]

[3]	匡野, 向如平(2023). 媒介环境学视域下生成式人工智能的社会影响与规制路径. 《中国编辑》,(10),37-44. 本文引用 [1]

[4]	刘海龙, 连晓东(2023). 新常人统治的来临:ChatGPT与传播研究. 《新闻记者》,(6),11-20. 本文引用 [1]

[5]	刘鹏飞(2022). 国家政治·生命政治·信息政治——论生物时代基因科技规制的逻辑与进路. 《湖北社会科学》,(7),30-37. 本文引用 [1]

[6]	刘逸伦, 黄微, 张晓君, 李贺南(2023). AIGC赋能的科技情报智能服务:特征、场景与框架. 《现代情报》,(12),88-99. 本文引用 [1]

[7]	庙翰赢(2022). 祛魅与赋魅:新技术革命的启蒙批判. 《鹿城学刊》,(3),93-96. 本文引用 [1]

[8]	谭小荷(2023). AI想象的展褶:技术乐观主义与无能主体的共生——以普通人对Chat GPT的社会技术想象为中心. 《新闻界》,(11),52-65+96. 本文引用 [1]

[9]	汤丹丹, 温忠麟(2020). 共同方法偏差检验:问题与建议.《心理科学》,(1),215-223. 本文引用 [1]

[10]	韦路, 徐靓颀(2023). 生成式人工智能对传媒生态的挑战与对策. 《中国广播电视学刊》,(9),4-9. 本文引用 [1]

[11]	尹帮文, 孙伟平(2023). ChatGPT冲击波:类人恐惧与异化危机. 《理论月刊》,(6),5-13. 本文引用 [1]

[12]	岳兵兵(2024). 人类增强与技术想象——超人类主义的“未来学”思想及其当代价值. 《自然辩证法通讯》,(3),41-49. 本文引用 [1]

[13]	张文祥, 沈天健, 孙熙遥(2023). 从失序到再序:生成式人工智能下的信息秩序变局与治理. 《新闻界》,(10),41-51. 本文引用 [1]

[14]	周葆华(2023). 或然率资料库:作为知识新媒介的生成智能ChatGPT. 《现代出版》,(2),21-32. 本文引用 [1]

[15]	朱鸿军, 李辛扬(2023). ChatGPT生成内容的非版权性及著作权侵权风险. 《新闻记者》,(6),28-38. 本文引用 [1]

[16]	Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shoping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733.

[17]	Bao, L., et al. (2022). Whose AI? How different publics think about AI and its social impacts. Computers in Human Behavior, 130, 107182. 本文引用 [1]

[18]	Bayerl, P. S., Lauche, K., & Axtell, C. (2016). Revisiting group-based technology adoption as a dynamic process. Mis Quarterly, 40(3), 775-784. 本文引用 [1]

[19]	Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of consumer psychology, 24(4), 586-607. 本文引用 [1]

[20]	Burns, T. W., O'Connor, D. J., & Stocklmayer, S. M. (2003). Science communication: A contemporary definition. Public understanding of science, 12(2), 183-202. 本文引用 [1]

[21]

Callon,

(1989). Society in the making: The study of technology as a tool for sociological analysis. In Bijker, W., Pinch, T. & Hughes, T. (Eds.). The social construction of technological systems: New directions in the sociology and history of technology (pp. 83-103). Cambridge, MA: MIT Press.

本文引用 [1]

[22]	Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312. 本文引用 [1]

[23]	Chi, O. H., Jia, S., Li, Y., & Gursoy, D..(2021). Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (ai) social robots in service delivery. Computers in Human Behavior, 118(7), 106700.

[24]	Chi, O. H., Chi, C. G., Gursoy, D., & Nunkoo, R. (2023). Customers’ acceptance of artificially intelligent service robots: The influence of trust and culture. International Journal of Information Management, 70, 102623. 本文引用 [1]

[25]	Clark, B. B., Robert, C., & Hampton, S. A. (2016). The technology effect: how perceptions of technology drive excessive optimism. Journal of Business and Psychology, 31, 87-102. 本文引用 [1]

[26]	Dong, C., & Mertala, P. (2021). Two worlds collide? The role of Chinese traditions and Western influences in Chinese preservice teachers’ perceptions of appropriate technology use. British Journal of Educational Technology, 52(1), 288-303. 本文引用 [1]

[27]	Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. Human Relations, 16(3), 233-239. 本文引用 [1]

[28]	Flavián, C., Pérez-Rueda, A., Belanche, D., & Casaló L. V. (2022). Intention to use analytical artificial intelligence (AI) in services-the effect of technology readiness and awareness. Journal of Service Management, 33(2), 293-320. 本文引用 [1]

[29]	Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304. 本文引用 [1]

[30]	Gerlich, M. (2023). Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study. Social Sciences, 12(9), 502. 本文引用 [1]

[31]	Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627-660. 本文引用 [1]

[32]	Greiner, C., Peisl, T. C., Höpfl, F., & Beese, O. (2023). Acceptance of AI in Semi-Structured Decision-Making Situations Applying the Four-Sides Model of Communication—An Empirical Analysis Focused on Higher Education. Education Sciences, 13(9), 865. 本文引用 [1]

[33]	Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157-169. 本文引用 [2]

[34]	Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. 本文引用 [1]

[35]	Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of interactive marketing, 51(1), 57-71. 本文引用 [1]

[36]	Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50. 本文引用 [1]

[37]	Jasanoff, S. (2015). Future imperfect: Science, technology, and the imaginations of modernity. Dreamscapes of modernity: Sociotechnical imaginaries and the fabrication of power, 1-33. 本文引用 [1]

[38]	Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272. 本文引用 [1]

[39]	Kar, A. K., Varsha, P. S., & Rajan, S. (2023). Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature. Global Journal of Flexible Systems Management, 24(4), 659-689. 本文引用 [1]

[40]	Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision support systems, 43(1), 111-126. 本文引用 [1]

[41]	Kim, J., Shin, S., Bae, K., Oh, S., Park, E., & del Pobil, A. P. (2020). Can AI be a content generator? Effects of content generators and information delivery methods on the psychology of content consumers. Telematics and Informatics, 55, 101452. 本文引用 [1]

[42]	Lai, J. Y., & Chang, C. Y. (2011). User attitudes toward dedicated e-book readers for reading: the effects of convenience, compatibility and media richness. Online information review, 35(4), 558-580. 本文引用 [1]

[43]	Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141. 本文引用 [1]

[44]	Roco, M. C., & Bainbridge, W. S. (2013). The new world of discovery, invention, and innovation: convergence of knowledge, technology, and society. Journal of nanoparticle research, 15, 1-17. 本文引用 [1]

[45]	Lin, H., Chi, O. H., & Gursoy, D. (2020). Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality services. Journal of Hospitality Marketing & Management, 29(5), 530-549. 本文引用 [1]

[46]	Ma, H., Su, J., Zhang, S., & Zhang, S. (2023). Capability upgrading through technological proximity: evidence from a leading Chinese e-bike firm. International Journal of Emerging Markets, 18(12), 5655-5679. 本文引用 [1]

[47]	Ma, X., & Huo, Y. (2023). Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework. Technology in Society, 75, 102362. 本文引用 [1]

[48]	Mariani, M. M., Perez-Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755-776. 本文引用 [1]

[49]	Miller, J. D. (2022). Public understanding of science and technology in the Internet era. Public Understanding of Science, 31(3), 266-272. 本文引用 [1]

[50]	Neuhofer, B., & Buhalis, D. (2014). Experience, co-creation and technology: Issues, challenges and trends for technology enhanced tourism experiences. The Routledge handbook of tourism marketing, 124-139. 本文引用 [1]

[51]	Ooi, K. B., et al. (2023). The potential of generative artificial intelligence across disciplines: perspectives and future directions. Journal of Computer Information Systems, 1-32. 本文引用 [1]

[52]	Park, J. S., O'Brien, J., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023, October). Generative agents: Interactive simulacra of human behavior. Paper presented at the 36th Annual ACM Symposium on User Interface Software and Technology. Los Angeles. 本文引用 [1]

[53]

Rejali,

, Aghabayk,

, Esmaeli,

, & Shiwakoti,

(2023). Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles. Transportation research part A: policy and practice, 168, 103565.

本文引用 [1]

[54]	Rutjens, B. T., Heine, S. J., Sutton, R. M., & van Harreveld, F. (2018). Attitudes towards science. In Advances in experimental social psychology, 57, 125-165. 本文引用 [1]

[55]	Saghafian, M., Laumann, K., & Skogstad, M. R. (2021). Stagewise overview of issues influencing organizational technology adoption and use. Frontiers in Psychology, 12, 630145. 本文引用 [1]

[56]	Taber, K. S. (2018). The use of Cronbach’s alpha when develoing and reporting research instruments in science education. Research in science education, 48, 1273-1296. 本文引用 [1]

[57]	Tacheva, J., & Ramasubramanian, S. (2023). AI Empire: Unraveling the interlocking systems of oppression in generative AI's global order. Big Data & Society, 10(2), 20539517231219241. 本文引用 [1]

[58]	Theophilou, E., et al. (2023, November). Learning to Prompt in the Classroom to Understand AI Limits: A pilot study. Paper presented at International Conference of the Italian Association for Artificial Intelligence. Rome. 本文引用 [1]

[59]	Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376. 本文引用 [1]

[60]	Weeks, B. E., Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2017). Online influence? Social media use, opinion leadership, and political persuasion. International journal of public opinion research, 29(2), 214-239. 本文引用 [1]

[61]	Williams, R. (2019). The social shaping of technology (SST). The Cambridge Handbook of Science, Technology and Society, 138-162. 本文引用 [1]

基金

国家社科基金项目“我国网络视频节目传播效果与创新路径的大数据研究”资助(23BC050)

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出版日期
2024-04-23
发布日期
2024-06-06

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