Christophe Jallais

The impact of false warnings on partial and full lane departure warnings effectiveness and acceptance in car driving

Abstract In the past, lane departure warnings (LDWs) were demonstrated to improve driving behaviours during lane departures but little is known about the effects of unreliable warnings. This experiment focused on the influence of false warnings alone or in combination with missed warnings and warning onset on assistance effectiveness and acceptance. Two assistance unreliability levels (33 and 17%) and two warning onsets (partial and full lane departure) were manipulated in order to investigate interaction. Results showed that assistance, regardless unreliability levels and warning onsets, improved driving behaviours during lane departure episodes and outside of these episodes by favouring better lane-keeping performances. Full lane departure and highly unreliable warnings, however, reduced assistance efficiency. Drivers’ assistance acceptance was better for the most reliable warnings and for the subsequent warnings. The data indicate that imperfect LDWs (false warnings or false and missed warnings) further improve driving behaviours compared to no assistance. Practitioner Summary: This study revealed that imperfect lane departure warnings are able to significantly improve driving performances and that warning onset is a key element for assistance effectiveness and acceptance. The conclusion may be of particular interest for lane departure warning designers.

Assessing the Impact of Anger State on the Three Attentional Networks With the ANT-I

Anger is a negative and highly aroused emotion. Previous research has revealed that a high level of arousal can induce the participant in a physical preparation and self-awareness. The aim of this research was to study the influence of anger on the attentional network using the Attention Network Test-Interactions (ANT-I). This test has been developed in order to assess 3 attentional networks: alerting, orienting, and executive control. Here, participants were induced in anger using the autobiographic recall procedure or in a neutral mood before the realization of the ANT-I. As expected, the results showed a better alerting score for the angry group. The possible origin of this alerting gain related to the high level of arousal is discussed. The results obtained should enlighten the interaction between emotion and the functioning of the attentional system. They also may be relevant for applied fields related to anger.

Emotional GaRage: A Workshop on In-Car Emotion Recognition and Regulation

In-car emotion detection and regulation have become an emerging and important branch of research within the automotive domain. Different emotional states can greatly influence human driving performance and user experience both in manual and automated driving conditions. The monitoring and regulation of relevant emotional states is therefore important to avoid critical driving scenarios with the human driver being in charge, and to ensure comfort and acceptance in autonomous driving. In this workshop we want to discuss the empathic user interface research to address challenges and opportunities and to reveal new research directions for future work. This workshop provides a forum for exchange and discussion on empathic user interfaces, including methods for emotion recognition and regulation, empathic automotive human-machine interaction design, user evaluation and measurements, and subsequent improvement of autonomous driving experience.

Do distinct mind wandering differently disrupt drivers? Interpretation of physiological and behavioral pattern with a data triangulation method

MW is damaging for tasks requiring sustained and divided attention, for example driving. Recent findings seem to be indicating that off-task thoughts differently disrupt drivers. The present paper delved into characteristics of off-task thoughts to assess their respective detrimental impact on driving. Twenty volunteers had to declare their MW thoughts and get intentionally involved in Problem-Solving Thoughts (PST) according to instructions. Heart rate and oculometric behavior were collected during the two sessions. Results showed that MW and PST led to a fixed gaze. MW might also led to a cognitive effort necessary to switch from task-unrelated to task-related focus. Similarities and differences between intentional and unintentional off-task thoughts were discussed in greater detail. By designing a detection algorithm, it could be possible to detect disruptive MW during risky situations while permitting the mind to wander when the driving demand is low.