Is ChatGPT scary good? How user motivations affect creepiness and trust in generative artificial intelligence

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2023-09-01 DOI:10.1016/j.tele.2023.102030

Tae Hyun Baek , Minseong Kim

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引用次数: 3

Abstract

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.

查看原文本刊更多论文

ChatGPT好得吓人吗?用户动机如何影响对生成式人工智能的恐惧和信任

很少有研究考察用户使用生成人工智能的动机。这项研究旨在通过研究用户使用ChatGPT的动机如何影响感知到的恐怖、信任以及继续使用人工智能聊天机器人技术的意图来解决这一差距。一项在线调查的结果（N=421）显示，个性化与恐怖感之间存在负相关，而任务效率和社交互动与恐怖感呈正相关。恐怖程度的增加反过来又导致持续意愿的降低。此外，任务效率和个性化对信任有积极影响，导致持续意愿增加。研究结果通过调查使用生成型人工智能聊天机器人的动机，并促进我们对人工智能爬行、信任和持续意图的理解，为人机交互领域做出了贡献。这项研究的实际成果可以为生成型人工智能聊天机器人的用户界面设计和功能开发提供信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.