The advancement of Conditionally Automated Vehicles (CAVs) requires research into critical factors to achieve an optimal interaction between drivers and vehicles. The present study investigated the impact of driver emotions and in-vehicle agent (IVA) reliability on drivers’ perceptions, trust, perceived workload, situation awareness (SA), and driving performance toward a Level 3 automated vehicle system. Two humanoid robots acted as the in-vehicle intelligent agents to guide and communicate with the drivers during the experiment. Forty-eight college students participated in the driving simulator study. The participants each experienced a 12-min writing task to induce their designated emotion (happy, angry, or neutral) prior to the driving task. Their affective states were measured before the induction, after the induction, and after the experiment by completing an emotion assessment questionnaire. During the driving scenarios, IVAs informed the participants about five upcoming driving events and three of them asked for the participants to take over control. Participants’ SA and takeover driving performance were measured during driving; in addition, participants reported their subjective judgment ratings, trust, and perceived workload (NASA-TLX) toward the Level 3 automated vehicle system after each driving scenario. The results suggested that there was an interaction between emotions and agent reliability contributing to the part of affective trust and the jerk rate in takeover performance. Participants in the happy and high reliability conditions were shown to have a higher affective trust and a lower jerk rate than other emotions in the low reliability condition; however, no significant difference was found in the cognitive trust and other driving performance measures. We suggested that affective trust can be achieved only when both conditions met, including drivers’ happy emotion and high reliability. Happy participants also perceived more physical demand than angry and neutral participants. Our results indicated that trust depends on driver emotional states interacting with reliability of the system, which suggested future research and design should consider the impact of driver emotions and system reliability on automated vehicles.
In-Vehicle Auditory Alert (IVAA) effectiveness depends on several auditory factors. Lead time has been shown to significantly influence IVAA effectiveness for automotive displays, although applications for Highway-Rail Grade Crossings (HRGCs) have yet to modulate and determine an appropriate lead time. To address this research gap, we conducted a small-scale driving simulator study to investigate the effect of lead time variation on driving performance and gaze behavior at rail crossings. We recruited 11 participants who drove through three experimental drives with different alert state conditions. Preliminary results show that a seven second lead time led to statistically higher temporal demand, a slower approach speed to crossings, and better gaze behavior than the no IVAA condition. The seven second lead time condition had similar higher values than the advanced warning condition, although they were not statistically significant. Findings of the current study offer insight into auditory display guidance for HRGCs, although future work involving a larger recruitment pool is needed to confirm study findings.
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