Title: Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them Show Chinese title

Title: 将大型语言模型呈现为伙伴会影响人们赋予它们的心理能力

Abstract: How does messaging about about large language models (LLMs) in public discourse influence the way people think about and interact with these models? To answer this question, we randomly assigned participants (N = 470) to watch a short informational video presenting LLMs as either machines, tools, or companions -- or to watch no video. We then assessed how strongly they believed LLMs to possess various mental capacities, such as the ability have intentions or remember things. We found that participants who watched the companion video reported believing that LLMs more fully possessed these capacities than did participants in other groups. In a follow-up study (N = 604), we replicated these findings and found nuanced effects on how these videos impact people's reliance on LLM-generated responses when seeking out factual information. Together, these studies highlight the impact of messaging about AI -- beyond technical advances in AI -- to generate broad societal impact. Show Chinese abstract

Abstract: 关于大型语言模型（LLMs）的公共话语如何影响人们对其思维方式和互动方式的影响？ 为了解这个问题，我们将参与者（N = 470）随机分配观看一段介绍LLMs作为机器、工具或伙伴的信息视频，或者不观看视频。 然后我们评估了他们认为LLMs具备各种心理能力的程度，例如拥有意图或记住事情的能力。 我们发现，观看伙伴视频的参与者比其他组的参与者更相信LLMs完全具备这些能力。 在一项后续研究（N = 604）中，我们复制了这些发现，并发现了这些视频对人们在寻求事实信息时依赖LLM生成的回答的影响的细微效应。 总的来说，这些研究突显了关于人工智能的讯息的影响——超越人工智能的技术进步——以产生广泛的社会影响。