Effects of input conditions on intramodal and crossmodal visual and kinesthetic matches by children

Three experiments are reported on the relation between children's intramodal and crossmodal visual and kinesthetic performance under conditions varying the difficulty of the input patterns. Crossmodal recognition errors exceeded intramodal errors on distance patterns with two and four constituents by ten-year-olds (Expt 1), and by 5.5-year-olds on single and double distance patterns (Expt 2). Preschoolers showed no significant crossmodal deficits in the recognition of single and double patterns (Expt 2), or in recall of single lengths presented in blocked or alternating order (Expt 3). No interactions between crossmodal errors and pattern difficulty were found. Order of presenting the patterns (Expts 1 and 2), and blocked versus alternating presentations (Expt 3) had significant effects on the relation between intramodal and crossmodal errors. The results are discussed with reference to explanations of crossmodal matching.     

The perception of emotionally toned sentences by right hemisphere-damaged and aphasic subjects

The perception of 60 emotionally toned sentences, divided into meaningful and meaningless utterances, by high- and low-verbal aphasics and right hemisphere-damaged subjects who were not aphasic was investigated. The intended moods were happiness, sadness, and anger. Results indicated (a) significant differences between the aphasic groups in identifying the intended emotion but none between groups in identifying the intended emotion but none between either of these groups and the right hemispheric dysfunction subjects; (b) sentence meaningfulness only affected the responses of high-verbal aphasics; and (c) while the happy mood seemed to be the least frequently selected among the three moods, closer inspection indicated that the subjects in absence of response bias were distinguishing among the three moods with equal success.     

After you?! – Use of external human-machine interfaces in road bottleneck scenarios

In the near future, automated vehicles (AVs) will enter the urban transport system. This fact will lead to mixed traffic consisting of AVs, human car drivers and vulnerable road users. Since the AV’s passenger no longer has to monitor the driving scene, conventional communication does not exist anymore, which is essential for traffic efficiency and safety. In research, there are plenty of studies focusing on how AVs could communicate with pedestrians. One approach is to use external human-machine interfaces (eHMIs) on the AV’s surface. In contrast to the studies dealing with AV-pedestrian communication, this paper focuses on communication strategies of AVs with drivers of regular vehicles in different road bottleneck scenarios. The eHMI development and design is building on previously defined requirements and on fundamentals of human visual perception. After designing several eHMI drafts, we conducted a user survey with 29 participants resulting in the final eHMI concept. The evaluation of the evolved eHMI was conducted in a driving simulator experiment with 43 participants investigating the AV-human driver interaction at road bottlenecks. The participants were assigned either to the experimental group being faced with the eHMI or to the baseline group without explicit communication. The results show significantly shorter passing times and fewer crashes among the human drivers in the group with the eHMI. Additionally, the paper researches the aftereffects of an automation failure, where the AV first yields the right of way and then changes its strategy and insisted on priority. Experiencing the automation failure is reflected in increased passing times, reduced acceptance ratings and a lower perceived usefulness. In conclusion, especially in unregulated bottleneck scenarios flawless communication via eHMIs increases traffic efficiency and safety.