This research draws upon the increasing usage of AI in service. It aims at understanding the extent to which AI systems have multiple intelligence types like humans and if these types arouse different emotions in consumers. To this end, the research uses a two-study approach: Study 1 builds and evaluates a scale for measuring different AI intelligence types. Study 2 evaluates consumers’ emotional responses to the different AI intelligences. The findings provide a measurement scale for evaluating different types of artificial intelligence against human ones, thus showing that artificial intelligences are configurable, describable, and measurable (Study 1), and influence positive and negative consumers’ emotions (Study 2). The findings also demonstrate that consumers display different emotions, in terms of happiness, excitement, enthusiasm, pride, inspiration, sadness, fear, anger, shame, and anxiety, and also emotional attachment, satisfaction, and usage intention when interacting with the different types of AI intelligences. Our scale builds upon human intelligence against AI intelligence characteristics while providing a guidance for future development of AI-based systems more similar to human intelligences.

这项研究利用了人工智能在服务中越来越多的使用。它旨在了解人工智能系统在多大程度上具有像人类这样的多种智能类型，以及这些类型是否会引起消费者的不同情绪。为此，该研究采用了两种研究方法：研究 1 建立并评估了衡量不同 AI 智能类型的量表。研究 2 评估了消费者对不同 AI 智能的情绪反应。研究结果为评估不同类型的人工智能与人类人工智能提供了衡量尺度，从而表明人工智能是可配置的、可描述的和可测量的（研究 1），并影响消费者的积极和消极情绪（研究 2）。研究结果还表明，消费者表现出不同的情绪，如快乐、兴奋、热情、自豪、与不同类型的人工智能智能交互时的灵感、悲伤、恐惧、愤怒、羞耻和焦虑，以及情感依恋、满意度和使用意图。我们的规模建立在人类智能与人工智能智能特征的基础上，同时为未来开发更类似于人类智能的基于人工智能的系统提供指导。