Is AI a good fit? The impact of personality on generative AI collaboration and enjoyment

IF 6 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2026-03-01 Epub Date: 2026-01-24 DOI:10.1016/j.ijhcs.2026.103747

Anna Kovbasiuk , Tamilla Triantoro , Leon Ciechanowski , Konrad Sowa , Aleksandra Przegalinska

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引用次数: 0

Abstract

As generative AI becomes a common collaborator in the workplace, understanding the psychological factors driving its adoption becomes essential. This study examines how Big Five personality traits shape the user experience and intention to use AI. In an experiment with 59 participants, we compared a group collaborating with an AI chatbot against a control group working alone on business-related tasks. We found that for those working with AI, personality traits such as extraversion and agreeableness significantly enhanced their enjoyment of the task. Importantly, this positive experience did not directly translate into a higher intention to use the technology. Instead, the main contribution of enjoyment was building trust towards technology. Trust acted as the necessary bridge, converting the hedonic benefit of enjoyment into a greater willingness to adopt AI for future use. Our results suggest that the path to successful AI adoption in the workplace depends on more than a positive first impression; it requires building a foundation of trust.

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人工智能合适吗？个性对生成AI协作和乐趣的影响

随着生成式人工智能成为工作场所的共同合作者，了解推动其采用的心理因素变得至关重要。本研究考察了五大人格特征如何影响用户体验和使用人工智能的意图。在一项有59名参与者的实验中，我们将一组与人工智能聊天机器人合作的小组与单独处理业务相关任务的对照组进行了比较。我们发现，对于那些与人工智能一起工作的人来说，外向性和亲和性等性格特征显著提高了他们对任务的享受程度。重要的是，这种积极的体验并没有直接转化为使用该技术的更高意愿。相反，乐趣的主要贡献是建立对技术的信任。信任充当了必要的桥梁，将享受的享乐利益转化为更愿意采用人工智能以供未来使用。我们的研究结果表明，在工作场所成功采用人工智能的途径不仅仅取决于积极的第一印象；这需要建立信任的基础。

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

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...