Impairment-Aware Intelligent Mobility System (I-AIMS)

Purpose and goal:

The I-AIMS project aims at investigating how to enhance safety and well-being of drivers through i) monitoring, and ii) regulating impaired cognitive and emotional states affected by driving scenarios and/or driver state. Smart-Eye’s Driver Monitoring System (DMS) will be combined with use of a large language model (LLM) to regulate impaired driver states and provide alerts or advice if the monitoring system detects the driver is tired, stressed or in a negative emotional state.

Long-term, it is aimed to develop the system with embodied feedback in the form of a small (robot) head unit. Expected results and effects:

In this concept development phase we will focus on i) prototype development of DMS with an LLM interface for regulating driver state and performance, and that is sensitive to individualized differences in terms of age and gender with respect to stress, cognitive load and negative affect, ii) a pilot investigation of this initial prototype to explore how best the prototype can be further developed. The results of the I-AIMS project will further strengthen the Swedish DMS market whilst allowing for pioneering research within Sweden in the use of intelligent assistive agents for driving.

Approach and implementation:

We will undertake an exploratory, empirical investigation for assessing the potential for use of a Large Language Model (LLM) for providing task-, and driver-specific feedback to participants in simulated driving scenarios. These scenarios will be designed to induce impaired affective and cognitive states that benefit from monitoring and regulation.

These states concern: i) elevated stress, ii) cognitive load, iii) negative affect. We will evaluate different genders and age groups in relation to these states and versions of “supervisor”-filtered LLM feedback.