基于多通道信息对无人驾驶信任度提升研究

目的无人驾驶技术发展迅猛,拥有广阔的市场空间前景,而用户对无人驾驶的信任问题将成为未来技术推广的瓶颈。从用户体验角度出发,对无人驾驶信息多通道表达方式进行研究,使用户能更高效地获取信息,从而提高用户对无人驾驶汽车的信任度。方法通过对比分析有人驾驶和无人驾驶下的信息传递过程,找出在信息传递中用户对无人驾驶产生信任问题的原因。基于各感官通道信息表达特点,分析不同驾驶情景下信息传递的强度需求。运用多通道的信息表达方式,阐明适用于具体驾驶情景的多通道组合,并选取视听多通道作为实验对象,验证该多通道组合信息传导对提高信任度的有效性。结果视听多通道实验证明在可预设和不可预设两种驾驶情境下,单一视觉通道表达信息对信任影响差别不明显,而视听通道组合表达信息对信任影响差别明显,相比可预设驾驶情境,在不可预设驾驶情境下视听通道组合能获得更多的信任。结论针对具体驾驶情景运用恰当的多通道组合表达出合理的信息强度能够有效地提升无人驾驶信任度。

Improvement of Trust in Unmanned Driving Based on Multi-channels

With rapid development and broad market prospects of unmanned driving technology, the trust of users in unmanned driving will become the bottleneck of future technology promotion. The work aims to study the multi-channel expression of unmanned driving information from the perspective of user experience, so as to enable users to obtain the information more efficiently, thus improving the trust of users in the unmanned vehicle. The comparative analysis on the information transmission process under manned and unmanned driving was conducted to find out the reason why users had a trust issue with unmanned driving. Based on the information expression characteristics of each sensory channel, the intensity requirements of information transmission under different driving scenarios were analyzed. Multi-channel infor-mation expression was used to clarify the multi-channel combination suitable for specific driving situations, and audio-visual multi-channel was selected as the experimental object to verify the effectiveness of the multi-channel combination information transmission in improving the trust. The audio-visual multi-channel experiment proved that the effect of single-visual-channel expression information on trust was not obvious under the driving situations that could and could not be preset, while the effect of audio-visual channel combination expression information on trust was obvious. Compared with the driving situation that could be preset, the audio-visual channel combination could obtain more trust under the driving situation that could not be preset. Appropriate multi-channel combination used to express reasonable information strength according to specific driving situations can effectively improve the trust in unmanned driving.