首页 /研究 /NAMIDA
OTHER

NAMIDA

Nihan Karatas, Soshi Yoshikawa, Michio Okada

发表年份
2016
引用次数
12

摘要

We propose a multi party conversational social interface NAMIDA through a pilot study. The system consists of three robots that can converse with each other about environment throughout the road. Through this model, the directed utterances towards the driver diminishes by utilizing turn-taking process between the agents, and the mental workload of the driver can be reduced compared to the conventional one-to-one communication based approach that directly addresses the driver. We set up an experiment to compare the both approaches to explore their effects on the workload and attention behaviors of drivers. The results indicated that the multi-party conversational approach has a better effect on reducing certain workload factors. Also, the analysis of attention behaviors of drivers revealed that our method can better promote the drivers to focus on the road.

关键词

WorkloadConverseComputer scienceInterface (matter)Set (abstract data type)Human–computer interactionProcess (computing)Focus (optics)RobotArtificial intelligence

相关论文

查看 OTHER 分类全部论文