Experience-Based Cognition for Driving Behavioral Fingerprint Extraction

Abstract

With the rapid progress of information technologies, cars have been made increasingly intelligent. This allows cars to act as cognitive agents, i.e., to acquire knowledge and understanding of the driving habits and behavioral characteristics of drivers (i.e., driving behavioral fingerprint) through experience. Such knowledge can be then reused to facilitate the interaction between a car and its driver, and to develop better and safer car controls. In this paper, we propose a novel approach to extract the driver’s driving behavioral fingerprints based on our conceptual framework Experience-Oriented Intelligent Things (EOIT). EOIT is a learning system that has the potential to enable Internet of Cognitive Things (IoCT) where knowledge can be extracted from experience, stored, evolved, shared, and reused aiming for cognition and thus intelligent functionality of things. By catching driving data, this approach helps cars to collect the driver’s pedal and steering operations and store them as experience; eventually, it uses obtained experience for the driver’s driving behavioral fingerprint extraction. The initial experimental implementation is presented in the paper to demonstrate our idea, and the test results show that it outperforms the Deep Learning approaches (i.e., deep fully connected neural networks and recurrent neural networks/Long Short-Term Memory networks).     

Directional control–response compatibility of joystick steered shuttle cars

Shuttle cars are an unusual class of vehicle operated in underground coal mines, sometimes in close proximity to pedestrians and steering errors may have very serious consequences. A directional control–response incompatibility has previously been described in shuttle cars which are controlled using a steering wheel oriented perpendicular to the direction of travel. Some other shuttle car operators are seated perpendicular to the direction of travel and steer the car via a seat mounted joystick. A virtual simulation was utilised to determine whether the steering arrangement in these vehicles maintains directional control–response compatibility. Twenty-four participants were randomly assigned to either a condition corresponding to this design (consistent direction), or a condition in which the directional steering response was reversed while driving in-bye (visual field compatible). Significantly less accurate steering performance was exhibited by the consistent direction group during the in-bye trials only. Shuttle cars which provide the joystick steering mechanism described here require operators to accommodate alternating compatible and incompatible directional control–response relationships with each change of car direction.

Practitioner Summary: A virtual simulation of an underground coal shuttle car demonstrates that the design incorporates a directional control–response incompatibility when driving the vehicle in one direction. This design increases the probability of operator error, with potential adverse safety and productivity consequences.     

Mental load and risk in traffic behaviour

Abstract

Car driving means accomplishing a variety of continuously varying driving subtasks which constitute workload on the driver. Total workload can be analysed by type; for instance, the amount of information to be processed while driving, or the effort of car control. One of the driver's main tasks is to cope with the hazards with which he can be confronted on each particular route. This task places demands on his mental capacities. Therefore, coping with hazards is part of the total workload of car drivers. Based on this premise, the following topics are discussed in this paper.

(1)The mental-load approach in modelling traffic behaviour is described in some detail.

(2)Procedures and results of investigations into load factors in car driving are presented, emphasizing workload by reference to hazards. These include a job-analytic study of driving behaviour, a simulation study of hazard perception, and a field study of drivers' exposure to different road conditions.

(3)Hazards and risks must be perceived before making adequate decisions. Some aspects of hazard perception are therefore mentioned.

(4)To understand ‘risky decision making’ in car driving it is necessary to consider the opportunities drivers have to engage in risky situations. Those opportunities are discussed.

(5)To complement these discussions of traffic behaviour, certain issues of risk-taking behaviour in non-traffic situations are considered in order to assess whether knowledge from these areas can be applied to driving.     

Handing over the Keys: A Qualitative Study of the Experience of Automation in Driving

ABSTRACT

This article presents a qualitative driving simulator study designed to understand the experience of giving up control to automated processes in semiautonomous driving systems. The study employed an experience prototyping methodology, with 12 drivers (4 female) completing 2 sessions in a high-fidelity driving simulator. Condition A simulated a normally functioning car, while Condition B simulated a semiautonomous system that monitors driver behavior and takes evasive action when danger is detected. The simulator experience was used to ground wider discussion of automation and the experience of driving, which was explored through a semistructured interview. Results identify design challenges for autonomous driving systems; the loss of user agency and confidence, and handling the change between manual and automated control. Opportunities were identified; in augmenting rather than removing human abilities, and in providing new learning opportunities for drivers.     

Anthropometry of male agricultural workers of western India for the design of tools and equipments

Agricultural workers and farmers in India perform most of the agricultural operations manually. Hence, for the design of farm equipments, hand tools and machinery involving human efforts, region specific anthropometric data is needed. A survey was conducted to collect anthropometric dimensions of male agricultural workers in the state of Maharashtra in India in the age group of 18–60 years. Almost 59 body dimensions were selected for the measurement from the recommendations by All India Coordinated Research Project (AICRP) on Human Engineering and Safety in Agriculture (HESA) and requisite by digital human manikin modeling. Total 303 male agricultural workers were selected from 23 districts of Maharashtra by convenience sampling. Repeatability of the measurements was checked by paired samples t test. From the measured dimensions, the values of minimum, maximum, mean, standard deviation (SD), standard error of mean (SEM), coefficient of variation (CV), 5th and 95th percentile values were determined. The results of the survey were compared with results of other regions of India and other countries.Relevance to industryThe anthropometric data of user population is very utile for the design/improvement of farm equipments/implements for agricultural workers in order to reduce drudgery, increase efficiency, safety and comfort.     

A Review of:“The Remembering Self: Construction and Accuracy in the Self-narrative”, edited by ULRIC NEISSER and ROBYN FIVUSH,Cambridge University Press,New York (1994), pp. x + 301, £30.00, ISBN 0-521-43194-8

Driving is a task that requires the timely detection of critical events and relevant changes in traffic circumstances. Adaptation of speed and safety margins allows drivers to control the time available to react to potential hazards. One of the basic safety margins in driving is the time headway preserved with respect to cars ahead. To avoid rear-end collisions, drivers have to detect decelerations of lead cars. It can be assumed that fast or abrupt decelerations of the lead car are detected faster than slow or gradual decelerations. Moreover, expected decelerations are presumably detected faster than unexpected decelerations. Drivers' responses to rather abrupt and more gradual decelerations of the lead were investigated in a driving simulator. Situational traffic cues were used to manipulate the driver's expectations. Drivers adjusted the timing of their responses very well to the level of deceleration of the lead car. If cues in the environment indicated that the lead car was likely to decelerate, drivers reacted faster. Moreover, drivers increased their headway before the lead car actually started to decelerate, which can be considered an anticipatory response. In general, anticipation allows drivers to maintain their preferred headway and control time pressure in driving.     

Review of anthropometric considerations for tractor seat design

Tractor driving imposes a lot of physical and mental stress upon the operator. If the operator's seat is not comfortable, his work performance may be poor and there is also a possibility of accidents. The optimal design of tractor seat may be achieved by integrating anthropometric data with other technical features of the design. This paper reviews the existing information on the tractor seat design that considers anthropometry and biomechanical factors and gives an approach for seat design based on anthropometric data. The anthropometric dimensions, i.e. popliteal height sitting (5th percentile), hip breadth sitting (95th percentile), buttock popliteal length (5th percentile), interscye breadth (5th and 95th percentile) and sitting acromion height (5th percentile) of agricultural workers need to be taken into consideration for design of seat height, seat pan width, seat pan length, seat backrest width and seat backrest height, respectively, of a tractor. The seat dimensions recommended for tractor operator's comfort based on anthropometric data of 5434 Indian male agricultural workers were as follows: seat height of 380 mm, seat pan width of 420–450 mm, seat backrest width of 380–400 mm (bottom) and 270–290 mm (top), seat pan length of 370±10 mm, seat pan tilt of 5–7° backward and seat backrest height of 350 mm.

Relevance to industry

The approach presented in this paper for tractor seat design based on anthropometric considerations will help the tractor seat designers to develop and introduce seats suiting to the requirements of the user population. This will not only enhance the comfort of the tractor operators but may also help to reduce the occupational health problems of tractor operators.     

In Automatic We Trust: Investigating the Impact of Trust,Control, Personality Characteristics,and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles

ABSTRACT

According to industry research, the automation of vehicles promises a revolution in traffic safety, mobility, and quality of life. However, the success of such vehicles depends on their acceptance. This study investigates the influence of trust in technology, concerns of giving up control, perceived usefulness, perceived ease of use, the personality factor innovativeness, and the enjoyment of driving a car on the a priori intention to adopt an autonomous vehicle. By means of an online survey with 369 German participants, our study shows that trust in the technology and the concern about handing over control to a machine go hand in hand as respondents’ cognitive and affective perception of this innovation. Moreover, perceived usefulness represents an influential factor, while the enjoyment of driving a car is a barrier to the technology’s acceptance. Innovators represent a promising target for campaigns, as they are more likely to adopt an autonomous vehicle.     

How do environmental characteristics at intersections change in their relevance for drivers before entering an intersection: analysis of drivers’ gaze and driving behavior in a driving simulator study

Accident studies in Germany found that in about 90 % of intersection accidents, failure to acquire the relevant information of the driving situation was the main reason for drivers’ errors (Vollrath et al. in Ableitung von Anforderungen an Fahrerassistenzsysteme aus Sicht der Verkehrssicherheit. Wirtschaftsverlag NW, Bremerhaven, 2006). Studies of bicycle–car accidents assume that improper attention allocation strategies and unjustified expectations by drivers are important for this kind of error (Räsänen and Summala in Accid Anal Prev 30:657–666, 1998). Aim of the study was to examine the psychological processes of drivers’ attention allocation and driving behavior in different intersection situations varied by two environmental characteristics. A give way T-intersection was varied by (1) low and high traffic density of oncoming cars from the left and (2) number of task-relevant information areas (in addition to the oncoming cars from the left with or without pedestrians on the right). It was examined how these environmental characteristics change in their relevance for drivers while entering the intersections. The analysis was conducted in three intersection epochs (Approaching, Waiting, Accelerating). A total of 40 subjects (26 male, 14 female), ranged in age from 19 to 55 years (M = 31.0 years), participated in the study. The results showed that drivers’ attention allocation (e.g., mean gaze duration) and driving behavior (e.g., waiting time) systematically depends on these environmental characteristics which require different actions of the driver and change in their relevance when entering an intersection. The results support the idea of attention allocation strategies by drivers which are specific for certain driving situations. These findings can support approaches of driver modeling at intersections.     

The effect of lighting conditions and use of headlights on drivers’ perception and appraisal of approaching vehicles at junctions

Use of Daytime Running Lights (DRL) is mandatory in many countries for motorcycles, and in some for cars. However, in developing countries, DRLs may be optional or compliance low. The effect of car or motorcycle headlights and lighting conditions on Malaysian drivers’ ability to perceive and judge the safety of pulling out was investigated. Stimuli were photographs depicting either daytime or nighttime taken at a T-junction with approaching vehicles with headlights on or off. Headlights improved drivers’ ability to perceive cars and motorcycles in the nighttime photographs but not the daytime photographs, although this could be due to the bright weather in the photographs. Drivers judged it less safe to pull out when approaching motorcycles had headlights on than off, regardless of the lighting conditions, supporting the utility of DRL for motorcycles. Headlights did not affect judgements for cars, questioning the utility of DRL for cars.

Practitioner Summary: The effect of headlights and lighting conditions on drivers’ ability to perceive and make judgements about the safety of pulling out was investigated. Daytime Running Lights influenced drivers’ decision-making about the safety of pulling out in front of motorcycles, illustrating the importance of having automatic headlights equipped.     

Experimental study on fist-ellipse for Chinese auto drivers

Sub-workspaces and the fist-ellipse of auto drivers are new concepts in the fields of ergonomics and automotive engineering. The paper introduces measurement, generation, application and location of the 95th percentile fist-ellipse (i.e., 95th sub-workspace for gearshift) for Chinese car drivers. It is a rigorous scientific approach to locate gearshift handles in conventional motor vehicles or locate a central control handle sidestick in a recent non-steering wheel conceptual car, expanding the concepts of the design tool contours of SAE.     

Cognitive control by brain-injured car drivers: an exploratory study

Cognitive control is a key tool for adaptation in dynamic situations. The aim of the study is to assess the relevance of a theoretical framework for cognitive control in dynamic situations, in order to understand brain-injured (BI) car drivers' cognitive impairment. The framework supports a cognitive control multimodality based on the crossing of two orthogonal dimensions: symbolic/subsymbolic; anticipative/reactive control. BI car drivers' behaviour was compared with that of a control group (CTRL) during driving simulator scenarios. Eye movement analysis, among other variables, revealed that BI car drivers made use of a more symbolic and reactive control than did CTRL drivers. CTRL drivers showed a more stable cognitive compromise than BI drivers. The latter became less symbolic and more reactive in the case of difficult scenarios. In addition, BI drivers focused on the main task of trajectory management, with fewer resources devoted to traffic interaction management.

Statement of Relevance:An explanation of differences between BI and CTRL drivers in terms of cognitive control requirements, attention and processing speed is put forward. From this, it is possible to derive some implications in terms of driver assistance (e.g. lane keeping or a warning assistance device) and rehabilitation.     

From imagining to image: An examination of visual realisation of 3D forms

Abstract

Representation of ideas so that others may understand them is vital, and particularly so in the early stages of the design process; designers use many different techniques to make these representations.

Recent work at the Visualisation and Information Design Centre (VIDe) at the Coventry School of Art and Design has concentrated on supporting styling design. The previously‐developed technique of mapping 2D images over 3D computer models of vehicles has been extended: now, 2D facial photographs are mapped onto generic 3D head‐models to enhance a new technique for spectacle design. A summary of work in progress for computer assisted spectacle design, and for rapid car styling, is described here, along with details for improvements in sketch modelling, including texture mapping.

Photographs and reference CAD models are used in an attempt to verify the basic process; also ‘depth mapping’, ‘lines in space’ and other rapid modelling methods are discussed. Three different strategies for rapid computer modelling of cars are described and evaluated to ascertain if they may replace or enhance standard methods.     

An updated estimate of the body dimensions of US children

Anthropometric data from children are important for product design and the promulgation of safety standards. The last major detailed study of child anthropometry in the USA was conducted more than 30 years ago. Subsequent demographic changes and the increased prevalence of overweight and obesity render those data increasingly obsolete. A new, large-scale anthropometric survey is needed. As an interim step, a new anthropometric synthesis technique was used to create a virtual population of modern children, each described by 84 anthropometric measures. A subset of these data was validated against limited modern data. Comparisons with data from the 1970s showed significant changes in measures of width and circumference of the torso, arms and legs. Measures of length and measurements of the head, face, hands and feet exhibited little change. The new virtual population provides guidance for a comprehensive child anthropometry survey and could improve safety and accommodation in product design.

Practitioner Summary: This research reviews the inadequacies of available sources of US child anthropometry as a result of the rise in the rates of overweight and obesity. A new synthesised database of detailed modern child anthropometry was created and validated. The results quantify changes in US child body dimensions since the 1970s.     

Adding Intelligence to Cars Using the Neural Knowledge DNA

ABSTRACT

In this paper, we propose a Neural Knowledge DNA (NK-DNA)-based framework that is capable of learning from the car’s daily operations and reusing such learned knowledge in future tasks. The NK-DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers’ classification based on their driving behaviors. The experimental data are collected via smartphone sensors. The initial results are presented, and the direction for our future research is defined.     

Identification of vehicle design requirements for older drivers

The proportion of older people in the population is rising, as is the proportion of older women driving licence holders. The needs and abilities of older drivers therefore need to be considered in vehicle design. Following some initial focus groups an extensive nation-wide postal survey was conducted to ascertain the type and degree of problems associated with automotive design for older drivers and to guide further research into the most appropriate areas. Over a thousand questionnaires were received. Findings indicate that particular difficulties are experienced significantly more often by older drivers than younger drivers, in particular turning to look out of the rear window and getting in and out of the car. Reasons for these were ascertained and are reported here. The findings have guided a subsequent research project into the factors affecting ease of entry and exit by older drivers.     

Combining experiences of race gaming and natural driving affects gaze location strategy in simulated context

Abstract

The aims of the study were to investigate the effects of race gaming experience in playing racing video games on gaze behaviour and performance of drivers and the effects of natural driving experience on gaze behaviour and performance of gamers. Thirty participants, divided into drivers-gamers, drivers-non-gamers and non-drivers-gamers, were asked to drive in a race circuit as fast as possible while their eye movements were recorded. Drivers-gamers spent more time looking at the lane than non-drivers-gamers. Furthermore, drivers-gamers performed greater number of fixations towards the speedometer and showed faster performance in the racing task than the drivers-non-gamers. Combining natural driving and race gaming experiences changed the gaze location strategy of drivers.

Practitioner summary: Racing video games practitioners have high propensity to exhibit attitudes and intentions of risky driving behaviour. Combining natural driving and race gaming experiences affects gaze behaviour strategy of drivers.

Abbreviations: DG: Drivers-gamers; DNG: Drivers-non-gamers; NDG: Non-drivers-gamers; AOIs: Areas of Interest; r-NUMFIX: Relative number of fixations; r-DURFIX: Relative fixations duration     

A technique for estimating anthropometric data from the parameters of the distribution of stature

A variety of biological and social factors influence the anthropometric characteristics of any population. The ergonomist requires anthropometric data which are appropriate to the target population with whom he is concerned. Since formal surveys are both costly and time consuming, simple methods of estimation are commonly required. The purpose of this paper is to describe and validate one such method.

A collection of anthropometric sources dealing with adult European and North American populations was assembled. A selection of dimensions generally useful for the purposes of workspace design was made. The sources were divided into two groups (A and B). For each dimension in each group A source, two ratios were calculated, relating its mean and standard deviation to those of stature. These ratios were then averaged across the group A sources (taking male and female populations separately), to give scaling factors which could be used for predictive purposes.

For purposes of validation, the scaling factors derived from group A were used to predict the results of the six published surveys in group B. (Only the sex and the mean and standard deviation of stature of the group B surveys were used in the predictions.) Comparisons were made between the predicted 1st and 99th percentile value of each dimension and the ‘true’ values published in the surveys. Errors were normally distributed with a mean value of —3 mm and a standard deviation of 13 mm (136 comparisons).

The actual percentiles which the predicted 1st and 99th percentiles represented were calculated. On average, these included 96% of the population (as against 98% for a perfect prediction) Many of the predictions fell within the confidence limits for the 1st and 99th percentiles of the published surveys. These inaccuracies are modest in comparison with those which may occur, for example, in correcting for clothing, shoes or ‘sitting slump’. It is concluded therefore that anthropometric data estimated by this technique are sufficiently accurate for many practical purposes.     

Night-time driving: the use of seat-belts and alcohol

Abstract

The objective risks of accident involvement associated with night driving, seat-belt use and alcohol intoxication have been reported from many countries. However, much less is known about the risks associated with combinations of these activities, even though these are common. A brief review of the relevant literature suggests that young drivers and drinking drivers are less likely to wear seat-belts at night. The results of a night-time survey in the Netherlands support this finding, with the lowest rate of belt use, 21%, being for young drivers with blood alcohol levels in excess of the legal limit (0·50%). Thus those drivers who are most likely to become involved in a crash are least likely to protect themselves from injury. The implications of these findings for accident countermeasures are briefly outlined.