Conceptual Model for an Intelligent Persuasive Driver Assistant

Abstract

Traffic congestion is a serious issue for large cities. This is especially critical for cities that has insufficient mass transit system like Bangkok. Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete. This work proposes to help reduce traffic problems through influencing a change in driver behavior. In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone. The system uses information about the driver, his physical state, vehicle performance information, and geolocation information to form persuasive strategies to influence driver behavior and to adapt user interfaces and interactions to reduce driver distraction. Integrating these components together is expected to provide improved assistance in driving tasks and affect driving behavior changes.

The effect of in‐vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS

“…In‐vehicle intelligent agents typically have a “Voice‐Command” interface and can assist drivers with nondriving related tasks such as setting reminders, navigating, sending messages, and so on, while driving (Meng et al, 2021). The use of in‐vehicle agents can improve the driving experience and performance of users (Yamsaengsung & Papasratorn, 2018) and reduce cognitive workload (Reagan et al, 2019). Since the embodiment of intelligent agents can result in different user perceptions, an important design decision is how to embody in‐vehicle agents (Cheng et al, 2022).…”