This research explores the factors driving user acceptance of Rabbit R1, a newly developed portable intelligent personal assistant (PIPA) that aims to redefine user interaction and control. The study extends the technology acceptance model (TAM) by incorporating artificial intelligence-specific factors (conversational intelligence, task intelligence, and perceived naturalness), user interface design factors (simplicity in information design and visual aesthetics), and user acceptance and loyalty. Using a purposive sampling method, we gathered data from 824 users in the US and analyzed the sample through partial least squares structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The findings reveal that all hypothesized relationships, including both direct and indirect effects, are supported. Additionally, fsQCA supports the PLS-SEM findings and identifies three configurations leading to high and low user acceptance. This research enriches the literature and provides valuable insights for system designers and marketers of PIPAs, guiding strategic decisions to foster widespread adoption and long-term engagement.

翻译：本研究探讨了驱动用户接受Rabbit R1（一种新开发的便携式智能个人助手，旨在重新定义用户交互与控制方式）的影响因素。研究通过整合人工智能特定因素（对话智能、任务智能与感知自然性）、用户界面设计因素（信息设计简洁性与视觉美学）以及用户接受度与忠诚度，对技术接受模型进行了扩展。采用目的性抽样方法，我们收集了美国824名用户的数据，并通过偏最小二乘结构方程模型与模糊集定性比较分析对样本进行了分析。研究结果表明，所有假设关系（包括直接效应与间接效应）均得到支持。此外，fsQCA结果支持了PLS-SEM的发现，并识别出导致高用户接受度与低用户接受度的三种组态。本研究丰富了现有文献，为便携式智能个人助手的系统设计者与营销人员提供了有价值的见解，以指导其促进广泛采用与长期用户参与的战略决策。