人们如何体验人工智能生成的图像?探讨人们对 Gen-AI 文本到图像模型及其创作的看法、评价和情感

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Amon Rapp , Chiara Di Lodovico , Federico Torrielli , Luigi Di Caro
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引用次数: 0

摘要

近年来,生成式人工智能(Gen-AI)发展迅速,在不久的将来可能会对行业、社会和个人产生巨大影响。特别是,创人工智能的文本到图像模型可以让人们轻松创建高质量的图像,可能会彻底改变人类的创作实践。然而,尽管其应用日益广泛,但在人机交互(HCI)领域,更广泛人群对 Gen-AI 生成的图像的看法和理解仍未得到充分研究。本研究调查了个人(包括不熟悉 Gen-AI 的个人)如何看待 Gen-AI 文本到图像(稳定扩散)输出。研究结果表明,参与者会根据 Gen-AI 图像的技术质量和表现主题的保真度对其进行评价,通常会将其视为原型或奇怪的图像:这些经历可能会提高人们对社会偏见的认识,并唤起延伸至 Gen-AI 本身的不安情绪。这项研究还发现了参与者为应对与 Gen-AI 有关的担忧而采用的几种 "关系 "策略,有助于理解人们对不可思议的技术和智能代理(去)人性化的反应。此外,本研究还就如何使用文本到图像模型的拟人化作为设计素材,以及如何使用 Gen-AI 图像作为批判性设计会议的支持提供了设计建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How do people experience the images created by generative artificial intelligence? An exploration of people's perceptions, appraisals, and emotions related to a Gen-AI text-to-image model and its creations

Generative Artificial Intelligence (Gen-AI) has rapidly advanced in recent years, potentially producing enormous impacts on industries, societies, and individuals in the near future. In particular, Gen-AI text-to-image models allow people to easily create high-quality images possibly revolutionizing human creative practices. Despite their increasing use, however, the broader population's perceptions and understandings of Gen-AI-generated images remain understudied in the Human-Computer Interaction (HCI) community. This study investigates how individuals, including those unfamiliar with Gen-AI, perceive Gen-AI text-to-image (Stable Diffusion) outputs. Study findings reveal that participants appraise Gen-AI images based on their technical quality and fidelity in representing a subject, often experiencing them as either prototypical or strange: these experiences may raise awareness of societal biases and evoke unsettling feelings that extend to the Gen-AI itself. The study also uncovers several “relational” strategies that participants employ to cope with concerns related to Gen-AI, contributing to the understanding of reactions to uncanny technology and the (de)humanization of intelligent agents. Moreover, the study offers design suggestions on how to use the anthropomorphizing of the text-to-image model as design material, and the Gen-AI images as support for critical design sessions.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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