Human-Computer Interaction: Users and Contexts

Abstract

Abstract. We propose socially interactive NAMIDA (Navigational Multiparty based Intelligent Driving Agents) as three friendly interfaces those sit on the dashboard inside a car. NAMIDA interfaces conduct multiparty conversation within each other to provide outside information for driver by utilising the context aware interaction. In this research, we introduce the conceptual design of NAMIDA and discuss about the superiorities of multiparty communication in the aspects of decreasing cognitive workload and increasing sociability plus enjoyable driving experience through an experiment which includes mock driving tasks by getting support from 1-NAMIDA (single) and 3-NAMIDAs (multiple) consecutively. Finally we mention about the results of the experiment which depicts that using multiparty based communication (3-NAMIDAs) could reduce the workload of driver and induced more enjoyable driving experience by increasing interaction and social bonding inside the car.