Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Jitender Kumar, M. Rani, Garima Rani, Vinki Rani
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Abstract

Purpose ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the ChatGPT adoption level among Indian individuals by considering the key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools. Design/methodology/approach This paper used “partial least square structural equation modeling” (PLS-SEM) to investigate the relation among several latent factors by applying a representative sample of 351 individuals. Findings This study found that trialability, performance expectancy and personal innovativeness significantly influence individuals' attitudes, while compatibility and effort expectancy do not significantly impact attitudes. Additionally, trialability, performance expectancy, effort expectancy, personal innovativeness and attitude significantly influence behavioral intentions. However, compatibility has an insignificant impact on behavioral intention. Moreover, the research highlights that attitude and behavioral intention directly correlate with actual use. Specifically, the absence of compatibility makes people hesitate to use technology that does not meet their specific needs. Practical implications These unique findings provide valuable insights for technology service providers and government entities. They can use this information to shape their policies, deliver timely and relevant updates and enhance their strategies to boost the adoption of ChatGPT. Originality/value This paper is one of the pioneering attempts to exhibit the research stream to understand the individual acceptance of ChatGPT in an emerging country. Moreover, it gained significant attention from individuals for delivering a unique experience and promising solutions.
揭开人机对话的神秘面纱:深入探讨个人对人工智能驱动的 ChatGPT 系统的态度和采用模式
目的ChatGPT 是一种先进的人工智能(AI)形式,可以根据大量数据生成类似人类的文本。本文旨在通过考虑决定个人对新出现的人工智能工具的态度和意向的关键因素,对印度个人采用 ChatGPT 的水平进行实证研究。本文采用 "偏最小二乘结构方程建模"(PLS-SEM),通过对 351 个具有代表性的样本进行研究,探讨了几个潜在因素之间的关系。此外,可试用性、绩效预期、努力预期、个人创新性和态度对行为意向有重大影响。然而,兼容性对行为意向的影响并不明显。此外,研究还强调,态度和行为意向与实际使用直接相关。这些独特的发现为技术服务提供商和政府机构提供了宝贵的见解。这些独特的发现为技术服务提供商和政府机构提供了有价值的见解,他们可以利用这些信息制定政策,及时提供相关更新,并加强战略以促进 ChatGPT 的采用。此外,由于提供了独特的体验和有前景的解决方案,它还获得了个人的极大关注。
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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