A preferred reality: Film portrayals of robots and AI in popular science fiction

电影院 框架(结构) 机器人 构造(python库) 感知 恐怖谷理论 人工智能 社会学 计算机科学 心理学 媒体研究 美学 视觉艺术 艺术 历史 考古 神经科学 程序设计语言
作者
Daniel G. Dieter,Elyse C. Gessler
出处
期刊:Journal of science & popular culture [Intellect]
卷期号:4 (1): 59-76 被引量:8
标识
DOI:10.1386/jspc_00025_1
摘要

The increasing frequency and depth of human interaction with robots and artificial intelligence (AI) prompts this research study into how media-framed portrayals of technology in popular visual media might construct social reality. Cinema serves as an important and influential form of media, and portrayals of technology in film media can influence public perceptions, specifically confirming or creating perceptions of artificial or robotic intelligence. Previous research identifies frequent portrayals of robots and AI as deceptive, aggressive monsters in films like Fritz Lang’s Metropolis and James Cameron’s The Terminator . However, as the distance between fantastic technology collapses into a new social reality where humans, AI and robots exist together, film portrayals reflect a more nuanced view and changing expectations for human-robot, human-AI interactions. The study applies framing theory and a content analysis methodology to examine filmmakers’ choices to determine robot and AI character types frequenting popular cinema. Seventeen popular films yielded 592 scenes to analyse. Findings from this quantitative content analysis revealed patterns portraying robots and AI more often as friendly, helpful companions of humans, rather than menacing or harmful to humans. Therefore, the researchers conclude that modern films primarily depict cohesive and complimentary interactions between humans and living technology, reflecting on heavy technology use and dependency. Furthermore, individuals who create these films may be illustrating scenes of a preferred reality, where AI and robots are meant to be our helpers, rather than threatening replacements in both society and industry.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
1秒前
1秒前
Akim应助科研通管家采纳,获得10
1秒前
1秒前
bkagyin应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
zhengzehong完成签到,获得积分10
1秒前
2秒前
研友_VZG7GZ应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
脑洞疼应助科研通管家采纳,获得10
2秒前
2秒前
英姑应助科研通管家采纳,获得10
2秒前
pluto应助科研通管家采纳,获得10
2秒前
zlttt发布了新的文献求助10
2秒前
4秒前
手拿把掐发布了新的文献求助10
4秒前
gglp发布了新的文献求助10
4秒前
钱罐罐发布了新的文献求助30
5秒前
生动的往事完成签到 ,获得积分10
5秒前
6秒前
6秒前
今后应助cly采纳,获得10
6秒前
我是老大应助Bomb采纳,获得10
6秒前
7秒前
俭朴的冰颜完成签到,获得积分10
8秒前
8秒前
8秒前
神奇白马儿完成签到,获得积分10
9秒前
大力的灵雁应助chemstation采纳,获得30
10秒前
11秒前
11秒前
Sunny发布了新的文献求助10
12秒前
Lc20020320发布了新的文献求助10
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6015644
求助须知:如何正确求助?哪些是违规求助? 7594624
关于积分的说明 16149567
捐赠科研通 5163536
什么是DOI,文献DOI怎么找? 2764394
邀请新用户注册赠送积分活动 1745072
关于科研通互助平台的介绍 1634798