聊天机器人
个性化
连续性
情感(语言学)
任务(项目管理)
生成语法
计算机科学
心理学
理解力
知识管理
社会心理学
人工智能
万维网
工程类
沟通
系统工程
程序设计语言
作者
Tae Hyun Baek,Minseong Kim
标识
DOI:10.1016/j.tele.2023.102030
摘要
Few studies have examined user motivations to use generative artificial intelligence (AI). This research aims to address this gap by examining how user motivations for ChatGPT usage affect perceived creepiness, trust, and the intention to continue using AI chatbot technology. The findings of an online survey (N = 421) reveal a negative relationship between personalization and creepiness, while task efficiency and social interaction are positively associated with creepiness. Increased levels of creepiness, in turn, result in decreased continuance intention. Furthermore, task efficiency and personalization have a positive impact on trust, leading to increased continuance intention. The results contribute to the field of human–computer interaction by investigating the motivations for utilizing generative AI chatbots and advancing our comprehension of AI creepiness, trust, and continuance intention. The practical ramifications of this research can inform the design of user interfaces and the development of features for generative AI chatbots.
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