Shank Daniel B, Gott Alexander
Department of Psychological Science, Missouri University of Science and Technology, 500 W. 14th Street, Rolla, MO 65409, USA.
Data Brief. 2019 Jul 6;25:104220. doi: 10.1016/j.dib.2019.104220. eCollection 2019 Aug.
This article presents the data from two surveys that asked about everyday encounters with artificial intelligence (AI) systems that are perceived to have attributes of mind. In response to specific attribute prompts about an AI, the participants qualitatively described a personally-known encounter with an AI. In survey 1 the prompts asked about an AI planning, having memory, controlling resources, or doing something surprising. In survey 2 the prompts asked about an AI experiencing emotion, expressing desires or beliefs, having human-like physical features, or being mistaken for a human. The original responses were culled based on the ratings of multiple coders to eliminate responses that did not adhere to the prompts. This article includes the qualitative responses, coded categories of those qualitative responses, quantitative measures of mind perception and demographics. For interpretation of this data related to people's emotions, see Shank et al., 2019.
本文展示了两项调查的数据，这两项调查询问了人们在日常生活中与被认为具有思维属性的人工智能（AI）系统的接触情况。针对关于人工智能的特定属性提示，参与者定性描述了他们个人所熟知的与人工智能的一次接触。在调查1中，提示问题涉及人工智能进行规划、拥有记忆、控制资源或做出令人惊讶的事情。在调查2中，提示问题涉及人工智能体验情感、表达欲望或信念、具有类人身体特征或被误认为是人。原始回答基于多名编码员的评分进行筛选，以剔除不符合提示要求的回答。本文包括定性回答、这些定性回答的编码类别、思维感知的定量测量以及人口统计学信息。有关此数据与人们情绪相关的解读，请参阅尚克等人（2019年）的研究。
