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The Effect of AI Agent's Multi Modal Interaction on the Driver Experience in the Semi-autonomous Driving Context : With a Focus on the Existence of Visual Character

반자율주행 맥락에서 AI 에이전트의 멀티모달 인터랙션이 운전자 경험에 미치는 효과 : 시각적 캐릭터 유무를 중심으로

  • Received : 2018.07.05
  • Accepted : 2018.07.27
  • Published : 2018.08.28

Abstract

As the interactive AI speaker becomes popular, voice recognition is regarded as an important vehicle-driver interaction method in case of autonomous driving situation. The purpose of this study is to confirm whether multimodal interaction in which feedback is transmitted by auditory and visual mode of AI characters on screen is more effective in user experience optimization than auditory mode only. We performed the interaction tasks for the music selection and adjustment through the AI speaker while driving to the experiment participant and measured the information and system quality, presence, the perceived usefulness and ease of use, and the continuance intention. As a result of analysis, the multimodal effect of visual characters was not shown in most user experience factors, and the effect was not shown in the intention of continuous use. Rather, it was found that auditory single mode was more effective than multimodal in information quality factor. In the semi-autonomous driving stage, which requires driver 's cognitive effort, multimodal interaction is not effective in optimizing user experience as compared to single mode interaction.

Keywords

Conversational AI;Multimodal Fusion;Multimodal Interaction;Agent Embodiment;Semi-autonomous Vehicle;Simulator Experiment

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