| 陈逸阳,徐雅璐.人工智能驱动下“萝卜快跑”体验设计的实践问题与优化路径[J].南京邮电大学学报(社会科学版）,2024,(06):10~17 |
| 人工智能驱动下“萝卜快跑”体验设计的实践问题与优化路径 |
| Practical problems and optimization paths of “Apollo Go” experience design driven by artificial intelligence |
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| DOI： |
| 中文关键词: 人工智能 体验设计 用户体验 萝卜快跑 |
| 英文关键词:artificial intelligence experience design user experience Apollo Go |
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| 中文摘要: |
| 随着人工智能（AI）技术的飞速发展，自动驾驶出租车（Robotaxi）如“萝卜快跑”正逐步重塑传统出行服务体验。“萝卜快跑”在实际运营中所面临的用户体验挑战，揭示了技术创新在推动体验模式变革中存在的不成熟之处。基于用户体验设计的三层次理论模型，从自主表现、自然行为和情感反馈三个方面，系统分析了“萝卜快跑”在用户体验过程中的具体问题，并提出了针对性的优化路径，旨在为自动驾驶出行服务的可持续发展提供理论支持和实践指导，同时对未来智能出行服务的发展方向作出展望。 |
| 英文摘要: |
| With the rapid progression of AI technology， robotaxi like “Apollo Go” are redefining the conventional travel service experience. The user experience challenges faced by “Apollo Go” in actual operation reveal the immaturity of technological innovation in promoting the change of experience mode. The three-level theoretical model designed based on user experience systematically analyzes the specific problems of “Apollo Go” in the process of user experience from three aspects of independent performance， natural behavior and emotional feedback， and proposes targeted optimization paths， aiming to provide theoretical support and practical guidance for the sustainable development of autonomous driving services， and at the same time， make prospects for the future development of intelligent travel services. |
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