There has been extensive prior work exploring how psychological factors such as anthropomorphism affect the adoption of shared autonomous vehicles (SAVs). However, limited research has been conducted on how prompt strategies in large language model (LLM)-powered SAV User Interfaces (UIs) affect users' perceptions, experiences, and intentions to adopt such technology. In this work, we investigate how conversational UIs powered by LLMs drive these psychological factors and psychological ownership, the sense of possession a user may come to feel towards an entity or object they may not legally own. We designed four SAV UIs with varying levels of anthropomorphic characteristics and psychological ownership triggers. Quantitative measures of psychological ownership, anthropomorphism, quality of service, disclosure tendency, sentiment of SAV responses, and overall acceptance were collected after participants interacted with each SAV. Qualitative feedback was also gathered regarding the experience of psychological ownership during the interactions. The results indicate that an SAV conversational UI designed to be more anthropomorphic and to induce psychological ownership improved users' perceptions of the SAV's human-like qualities and improved the sentiment of responses compared to a control condition. These findings provide practical guidance for designing LLM-based conversational UIs that enhance user experience and adoption of SAVs.

本研究解决了有限研究背景下的大型语言模型驱动的共享自主车辆用户界面（UI）如何影响用户认知和采纳意图的问题。通过设计四种不同拟人特征和心理所有权触发机制的SAV UI，研究发现更具拟人化和心理所有权引发的对话式UI能显著改善用户对SAV人性化特质的感知和响应情感。这一发现为创建增强用户体验和采纳的LLM驱动对话式UI提供了实用指导。

探索人类与共享自主车辆交互：心理所有权与拟人化对用户体验的影响