迈向人机共生的人工智能:自动驾驶的乘客情感评估与图灵测试  

Towards man-machine symbiosis in artificial intelligence:Passenger emotion assessment and Turing tests in autonomous driving

在线阅读下载全文

作  者:库逸轩 KU Yixuan(Department of Psychology,Sun Yat-sen University,Guangzhou 510275,China;Peng Cheng Laboratory,Shenzhen 518000,China)

机构地区:[1]中山大学心理学系,广州510275 [2]鹏城实验室,深圳518000

出  处:《科技导报》2025年第3期74-80,共7页Science & Technology Review

基  金:教育部高等学校心理学类专业教指委教改项目(20221028);中山大学教学改革项目(26000-12220011)。

摘  要:自动驾驶技术大规模部署面临技术、法规、信任等挑战。人机共生理念有助于推动自动驾驶技术发展。旨在通过深度合作和相互理解,克服技术、法规、信任等挑战,提高用户信任,优化系统设计,实现人机深度交互和共生。研究结果显示,SAE Level4的自动驾驶车辆未通过此图灵测试。人机交互设计和真实场景研究在增强用户对系统的信任和推动技术应用方面至关重要。未来研究应关注真实场景中的人机信任和用户体验,以优化自动驾驶系统设计,提高技术的接受度。技术的发展将进一步推动人机关系演变,而深度的人机交互和用户信任感将是实现人机共生的关键因素。The autonomous driving technology deployment faces challenges related to technology,regulations,and man-machine trust.The principle of man-computer symbiosis is steering the progress of autonomous driving technology,which deals with the complex issues of technological challenges,regulatory complexities,and trust-building through enhanced cooperation and deeper mutual understanding.Moreover,it not only strengthens consumer trust but also streamlines system design,culminating at a more profound level interaction between humans and computers and the realization of symbiotic partnership.This research indicates that SAE Level 4 autonomous driving vehicles did not pass the Turing test.Human-machine interaction design and research in real-world scenarios are crucial for enhancing user trust in systems and driving technology adoption.Future research should focus on manmachine trust and user experience in real-world scenarios to optimize autonomous driving system design and promote technology acceptance.The technology evolution will further shape man-machine relations,with high-level interaction and user trust being the key factors in achieving man-machine symbiosis.

关 键 词:自动驾驶 图灵测试 人机共生 人机信任 情感评估 

分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] U463.6[自动化与计算机技术—控制科学与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象