The effect of the dominance of an in-vehicle agent’s voice on driver situation awareness,emotion regulation,and trust: A simulated lab study of manual and automated driving

As in-vehicle voice agents increase in popularity, related research is extending to how voice messages can affect the driver’s cognitive and emotional states. Accordingly, we investigated how in-vehicle agent (IVA) voice dominance and driving automation can affect the driver’s situation awareness (SA), emotion regulation (ER), and trust. To this end, a lab-based experiment was conducted with a medium-fidelity driving simulator using actor-recorded voice agents. Twenty-two female and nineteen male driver-licensed participants were recruited to drive simulated vehicles with voice agents and evaluated. The results demonstrated that compared with the dominant voice, the agent with a submissive voice significantly increased ER in both manual and automated driving. Furthermore, the submissive voice significantly increased trust in automated driving compared with the dominant agent. Cross and synergistic interaction effects exist between voice dominance and driving automation in SA and ER, respectively. This study revealed that both the content of the messages of the IVAs and their voice characteristics are essential for modulating the driver’s SA, ER, and trust in driving. It is expected that larger-scale future studies with simulation or on a real road would increase the validity of this study.     

God and the evangelical laboratory: Recent conservative Protestant thinking about theology and science

This review essay surveys 14 recent texts on theology and science published by six different evangelical (conservative Protestant) publishing houses since 1999. The spectrum of evangelical-theological approaches to evolution, natural history, and origins-of-life issues are presented in these texts, as are evangelical-theological perspectives on the Intelligent Design phenomenon, on theological and scientific method, and on the philosophy of science. Summary observations about the status quaestiones of the theology-and-science discussion in the evangelical world at the beginning of the twenty-first century are provided, and future developments anticipated among conservative Protestants in their engagements with the sciences.     

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Intelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. Such systems, however, will only exert an influence on driving behaviour if they are accepted by the driver. This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings. Fifty-eight participants, divided into three groups, took part in a driving simulator study in which three ITS devices were tested: an in-vehicle visual ITS, an in-vehicle audio ITS, and an on-road valet system. Driver acceptance of each ITS intervention was assessed in a questionnaire guided by the Technology Acceptance Model and the Theory of Planned Behaviour. Overall, results indicated that the strongest intentions to use the ITS devices belonged to participants exposed to the road-based valet system at passive crossings. The utility of both models in explaining drivers’ intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour. Directions for future studies, along with strategies that target attitudes and subjective norms to increase drivers’ behavioural intentions, are also discussed.     

TWO BAD WAYS TO ATTACK INTELLIGENT DESIGN AND TWO GOOD ONES

Four arguments are examined in order to assess the state of the Intelligent Design debate. First, critics continually cite the fact that ID proponents have religious motivations. When used as criticism of ID arguments, this is an obvious ad hominem. Nonetheless, philosophers and scientists alike continue to wield such arguments for their rhetorical value. Second, in his expert testimony in the Dover trial, philosopher Robert Pennock used repudiated claims in order to brand ID as a kind of pseudoscience. His arguments hinge on the nature of methodological naturalism as a metatheoretic shaping principle. We examine the use of such principles in science and the history of science. Special attention is given to the demarcation problem. Third, the scientific merits of ID are examined. Critics rightly demand more than promissory notes for ID to move beyond the fringe. Fourth, although methodological naturalism gets a lot of attention, there is another shaping principle to contend with, namely, conservatism. Science, like most disciplines, tends to change in an incremental rather than revolutionary manner. When ID is compared to other non‐ or quasi‐Darwinian proposals, it appears to be a more radical solution than is needed in the face of the anomalies.     

Auditory and haptic systems for in-car speed management – A comparative real life study

Field experiments with ISA (intelligent speed adaptation) were carried out in Hungary and Spain in 2003 and 2004, respectively. Twenty private vehicles in each country were equipped with two kinds of systems: (1) support via an active accelerator pedal (AAP) and (2) warning via beep signals and a flashing red light when the speed limit was exceeded (BEEP). The test drivers drove for a month with both systems installed in each car. Speed was continually logged in all the vehicles and the test drivers were interviewed about their acceptance and experiences of the systems. The results show that both systems reduced the mean and 85 percentile speeds, but that the AAP was more effective. There was no long-lasting effect on speeds when the systems were removed. After the trial half of the drivers were willing to keep an ISA system, but more drivers wanted to keep the BEEP-system even though it showed lower satisfaction ratings than the AAP. The results indicate no major differences between the countries despite the workload being perceived to be higher in Hungary than in Spain.     

Modeling ratings of in-vehicle alerts to pedestrian by leveraging field operational tests data in a controlled laboratory study

We show how to leverage expensive field operational tests (FOT) data in a controlled laboratory study when defining an in-vehicle algorithm that alerts drivers to pedestrians. We used an empirical approach that quantifies the relative level with which drivers are likely to accept alerts to pedestrians. The approach was used in two studies to investigate a range of contextual factors known to influence driver ratings of alerts to pedestrians issued by a driver-assistance system. Regression analysis shows that four factors consisting of combinations of pedestrian location and motion relative to the road ahead of the vehicle explain 85% of the variability in drivers’ ratings of alerts. Adding two factors related to the uncertainty of the pedestrians’ future path improves the model slightly. These findings suggest that drivers’ assessment of the danger associated with pedestrians derives largely from the possibility that they might move into the vehicle’s path, even when the vehicle is not on a collision course with the pedestrians. The less probable such an event seems, the less accepted an alert will be. Time to arrival (TTA) improved the regression model only when restricted to pedestrians in clear need of an alert, but was also found to have an effect in alert timing. This finding suggests that four contextual factors largely define the perceptual cues that drivers use to rate alerts to pedestrians.     

Survey on biometry for cognitive automotive systems

A survey on biometry for cognitive automotive systems is presented in this paper, specially those biometric systems used for high tech security access, law enforcement and/or commercial transactions. In general, biometric systems can be expensive due to the amount of sensors and processing resources involved. Efforts have been made to integrate these systems to vehicles mostly for security purposes and user authentication. Until now, most of the systems do not go beyond using facial and fingerprint data to start the engine or access the car; however, new generations demand more personalization plus the vehicle making decisions based on their physiological characteristics. Although this kind of technology is considered a luxury feature in general, actually it could help users and save their lives. Indeed, biometry is the way to make the human-vehicle relationship happen, whether the biometric devices are embedded inside the vehicle, used as an accessory or wearables. By using as input not only the sensors inside the vehicle but also data from outside, the vehicle could adapt and/or learn new information to make the best possible decision.     

Impressions after an automated mobility experience: An acceptance study

This paper presents people’s impressions after a demonstration of a fully robotized electric vehicle in Rambouillet, a peri-urban area connected with rural sections in France. 155 participants experienced a 6.5 km ride that included driving in a narrow two-way road, negotiating roundabouts, traversing a tunnel and interacting with other users of the road such as vehicles, pedestrians and cyclists. 298 impressions from 114 respondents were collected from a written questionnaire and open interviews. Users’ comments were classified in categories as follows: system capabilities, purpose and benefits, travel destination and encouraging remarks. Major results show that participants felt safe, where only 1.01% of comments denoted apprehension despite the increase of speed (up to 50 km/h) with respect to other studies. Users’ were satisfied with the automated vehicle (AV) performance, where only 3.5% criticized the system, denoting they expected a higher level of autonomy. 22% of users mentioned train stations as useful application (i.e. potential destination) for an automated on-demand mobility service. More than 200 comments were related to travel destinations, pointing towards various scenarios where an AV service could be useful for them. Conclusions show that realistic vehicle speed increases passenger acceptance of automated vehicles, increasing system confidence with respect to previous studies in the field.     

A bare bones bacterial foraging optimization algorithm

Bacterial foraging optimization (BFO), based on the social foraging behaviors of bacteria, is a new intelligent optimizer. It has been widely accepted as an optimization algorithm of current interest for a variety of fields. However, compared with other optimizers, the BFO possesses a poor convergence performance over complex optimization problems. To improve the optimization capability of the BFO, in this paper a bare bones bacterial foraging optimization (BBBFO) algorithm is developed. First, a chemotactic strategy based on Gaussian distribution is incorporated into this method through making use of both the historical information of individual and the share information of group. Then the swarm diversity is introduced in the reproduction strategy to promote the exploration ability of the algorithm. The performance of BBBFO is verified on various benchmark functions, the comparative results reveal that the proposed approach is more superior to its counterparts.     

Competing Explanations and Explaining-Away Arguments

An “explaining-away argument” [EAA] aims to discredit some explanatory hypothesis by appealing to the explanatory power of an alternative hypothesis. Nietzsche's genealogical argument against theism and Darwin's case against Paley's “old argument of design in nature” are famous examples. In order for EAAs to have their negative force, they must satisfy several conditions. After clarifying these conditions, I focus in on one in particular: the two hypotheses in question offer potential explanations that compete with one another. I develop a formal account of what it takes for potential explanations to compete, and I use this account to argue that EAAs are often misapplied today. This is due to the fact that philosophers often fail to appreciate the subtle line dividing competing from non-competing explanations.