问题解决产生式规则解决物理学问题研究

用问题解决产生式系统编制样例题和试干题,可使学生掌握样例题中所蕴含着的产生式规则,表明能在较短时间内掌握教学计划中所规定的知识内容,图式获得较快,而规则自动化有较高要求。     

Advanced driver assistance systems (ADAS): Demographics,preferred sources of information,and accuracy of ADAS knowledge

Advanced driver assistance systems (ADAS) in passenger vehicles can improve highway safety. ADAS place powerful, yet imperfect, automation in the hands of drivers who hold both misconceptions and reservations about ADAS. There is little previous research on drivers’ knowledge of ADAS, and even less on sources of information drivers use to inform their knowledge. The present study addressed this gap, testing hypotheses about influences on understanding of seven ADAS in 634 licensed US drivers (aged 18–82). Multiple regression to predict self-assessed driver characteristics revealed: (a) Drivers who rated themselves as more technically sophisticated tended to be young and male, to be at once less objectively knowledgeable and more confident of their knowledge of ADAS, to avoid car dealers for ADAS information, and to value brand status; (b) Drivers who rated themselves as faster to adopt new technology also tended to be male but to be more objectively knowledgeable about ADAS and to prefer learning about ADAS from owner manuals; (c) Drivers who rated themselves as more confident in using novel vehicle technology tended to be young males with greater objective knowledge of ADAS who valued “hands-on” ADAS experience; (d) Drivers who rated themselves as more concerned about vehicle safety tended to be female, to value crash data, and to rely on hands-on experience to learn about ADAS; (e) Drivers who rated themselves as having greater aesthetic concerns tended to rely on information on styles, colors, wheels when buying a new car and preferred specific ADAS components. Neither of the latter two differed in objective ADAS knowledge. These results make a novel contribution in revealing how driver demographics and characteristics are related to preference for specific sources of information on ADAS and objective knowledge of ADAS. These results can inform future efforts to increase driver understanding of the capabilities and limitations of ADAS and hence increase public safety.     

Interaction strategies with advanced driver assistance systems

When using advanced driver assistance systems (ADAS) drivers need to calibrate their level of trust and interaction strategy to changes in the driving context and possible consequent reduction of system reliability (e.g. in harsh weather conditions). By investigating and identifying categories of drivers who choose inadequate interaction strategies, it is possible to address unsafe usage with e.g. tutoring lessons tailored to the respective driver category. This paper presents two studies investigating categories of drivers who apply different interaction strategies when using ADAS. Study I was designed as an exploratory field study with 37 participants interacting with a SAE level 2 system. For the exploratory study, it was important to observe and understand the interaction strategies in a driving context which entails the real complexity of the driving task. The experimental set-up of study II (simulator study), however, allowed to clearly interpret the interaction strategies as either calibrated or un-calibrated by varying the situational risk. Participants (N = 33) were driving in a situation where the system was either working reliably (low-risk condition) or in a situation where the system displayed repeatedly errors under harsh weather conditions (high-risk condition). Cluster analyses with the variables trust, monitoring behavior towards the system and usage behavior were performed to analyze potential categories of drivers. Extreme driver categories with interaction strategies indicative for both misuse and disuse were observed in both studies. In study I, drivers were categorized as either highly trusting attentive, moderately trusting attentive, moderately inattentive, inattentive or skeptical. In study II, drivers were categorized as either un-calibrated, calibrated, inconsistent or skeptical. Taken together, results underline the need of tutoring systems that are tailored for different driver categories.     

Insights into the effectiveness of messaging promoting intentions to use connected vehicle technology

Connected vehicles offer considerable promise for reducing congestion, pollution, and crashes. Nonetheless, less than a third of road users are aware of the potential for connected vehicles to transform transport systems. This study examined the effectiveness of messaging aimed to increase the public’s knowledge of connected vehicle technologies using a short, animated video and its effects as assessed via a survey. Participants were assigned to either a control group, who were not exposed to the messaging, or an intervention group, who were exposed to the messaging, within a pre-post design. Participants (in the intervention group) answered questions about their knowledge of and experience with connected vehicle technologies prior to seeing the messaging and again following being exposed to such messaging together with their intentions to use these technologies in the future. As a theoretically informed investigation, the Theory of Planned Behaviour (TPB) constructs of attitudes, subjective norms, and perceived behavioural control were also measured. The results showed that the messaging increased knowledge about and intention to use connected vehicle technologies. Furthermore, changes in how the TPB constructs predicted intentions were found between the control and intervention groups which may help to explain how the messaging influenced participants’ intentions to use such technology in the future.     

How the initial level of trust in automated driving impacts drivers’ behaviour and early trust construction

Trust in Automation is known to influence human-automation interaction and user behaviour. In the Automated Driving (AD) context, studies showed the impact of drivers’ Trust in Automated Driving (TiAD), and linked it with, e.g., difference in environment monitoring or driver’s behaviour. This study investigated the influence of driver’s initial level of TiAD on driver’s behaviour and early trust construction during Highly Automated Driving (HAD). Forty drivers participated in a driving simulator study. Based on a trust questionnaire, participants were divided in two groups according to their initial level of TiAD: high (Trustful) vs. low (Distrustful). Declared level of trust, gaze behaviour and Non-Driving-Related Activities (NDRA) engagement were compared between the two groups over time. Results showed that Trustful drivers engaged more in NDRA and spent less time monitoring the road compared to Distrustful drivers. However, an increase in trust was observed in both groups. These results suggest that initial level of TiAD impact drivers’ behaviour and further trust evolution.     

Effect of motorcycle lighting configurations on drivers’ perceptions of closing during nighttime driving

ObjectiveThe aims were to better understand how drivers perceive an approaching set of motorcycle headlights during nighttime driving and to determine whether alternative motorcycle headlight configurations improve drivers’ perceptual judgments of closing for an oncoming motorcycle.BackgroundMotorcyclists account for a disproportionate number of roadway fatalities, especially at night. One potential cause of this is drivers’ misjudgments of a motorcycle’s approach.MethodThe first experiment examined whether drivers were more sensitive to horizontal or vertical optical expansion and whether drivers could integrate these two dimensions to achieve a lower looming threshold. A second experiment built on these results to test whether alternative headlight configurations that maximized size were better than other motorcycle headlight configurations and a car’s headlights. In both experiments, participants were instructed to press a button to indicate when they first perceived an oncoming vehicle to be closing under nighttime driving conditions.ResultsHeadlight orientation did not affect when drivers perceived closing, and drivers were not able to integrate optical expansion from multiple dimensions in a way that achieves a lower looming threshold. However, the alternative motorcycle headlight configurations that accentuated the full extent of a motorcycle’s size resulted in drivers perceiving closing sooner than other motorcycle headlight configurations but not sooner than a car.ConclusionDrivers perceive closing sooner for larger headlight configurations except when the headlight configurations are relatively small, in which case the effect of headlight size is attenuated.ApplicationDrivers’ perceptual judgments of motorcycles may improve when motorcycles have headlights that span its full height.     

User perceptions and evaluations of short vibrotactile feedback

The objective of the present study was to provide a better understanding of the factors that influence discrimination and subjective assessment of vibrotactile feedbacks during active interaction with a touchscreen. Twenty-four participants were presented with 162 pairs of vibrotactile signals that varied in frequency (60 Hz, 130 Hz, 200 Hz), waveform (sine, square and triangle), and duration (around 123 ms for short and 163 ms for long). Participants had to complete three successive tasks: a dissimilarity task, a preference judgement task, and a resemblance (to push-buttons) judgement task. For the discrimination task, a MultiDimensional Scale analysis revealed: (1) a predominant role of frequency, (2) a role of duration for a given frequency, and (3) no role of waveform. An analysis of variance performed on the preference and resemblance data also point out the main role of the signal frequency. Finally, a correlation was found between preference and resemblance data, indicating that the participants tend to prefer signals judged to be similar to familiar tactile sensations.     

Trends in Online Academic Publishing

Modern information technology allows academics many new ways to enhance their research activities. This article suggests that one of the most important changes in recent years has been the overwhelming proliferation of academic research. It proposes that many new developments in online publishing have been, and will continue to be, in response to this proliferation of research. It also offers some general principles based on six years' working for a series of innovative online journals, including examples of where new technologies have been used successfully to enrich a journal's content without adding substantively to the workloads of authors and editors.     

Retention of a Time Pressure Heuristic in a Target Identification Task

S. Rice and D. Keller (2009) previously reported that participants who were put under time pressure tended to comply more with a diagnostic aid than participants who were not put under time pressure. The present study investigates whether or not learning the benefits of this time pressure heuristic carries over to a second session. Seventy-two New Mexico State University students performed a simulated target-detection task, assisted by a 95% reliable diagnostic aid. Participants were exposed to the following conditions, which were composed of two sessions: speeded–speeded, unspeeded–speeded, speeded–unspeeded, or unspeeded–unspeeded. Results showed that participants who completed the speeded condition for Session 1 performed just as well in the 2nd session regardless of whether or not they were put under time pressure. Participants found that complying with the aid was beneficial to overall performance and continued to comply in a 2nd session even when allowed more time to overrule the aid.     

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.