机器视觉情况:追踪分布式代理机构
Marianne Gunderson1, Ragnhild Solberg2, Linda Kronman1
1Department of Linguistic, Literary and Aesthetic Studies, University of Bergen, Bergen, 5020, Norway.
Open research Europe
|April 24, 2024
概括
本研究介绍了"机器视觉情况",以分析机器视觉技术如何影响创意作品. 这种方法揭示了分布式代理中人类和非人类行为者之间的复杂相互作用.
科学领域:
- 科学与技术研究 研究科学与技术研究
- 数字人文学科 数字人文学科
- 媒体研究 媒体研究
背景情况:
- 关于创作作品中代理的传统分析往往忽视了技术的复杂作用.
- 机器视觉技术越来越多地被整合到创作过程中,需要新的分析框架.
研究的目的:
- 提出和验证一种新的分析方法,即"机器视觉情况",用于检查异质组合中的代理.
- 探索机器视觉在创作作品中促进人类和非人类行为者之间的复杂纠.
主要方法:
- 引入"机器视觉情况"作为分析单元.
- 该方法应用于各种创意作品:叙事,数字游戏和艺术品.
- 基于一个跨学科的理论框架.
主要成果:
- 确定了机器视觉技术积极参与事件的具体时刻,而不仅仅是工具或主角.
- 揭示了分布式代理的关键方面,突出了被忽视的复杂性和纠.
- 证明了"机器视觉情况"对于定量和定性研究的灵活性.
结论:
- "机器视觉情况"提供了一种有价值和灵活的方法,用于追踪人类与技术交互中的分布式代理.
- 这种方法增强了对创作作品和其他涉及人类和非人类参与者的情境中的代理人的理解.
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