Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the Car

Affective technology offers exciting opportunities to improve road safety by catering to human emotions. Modern car interiors enable the contactless detection of user states, paving the way for a systematic promotion of safe driver behavior through emotion regulation. We review the current literature regarding the impact of emotions on driver behavior and analyze the state of emotion regulation approaches in the car. We summarize challenges for affective interaction in the form of technological hurdles and methodological considerations, as well as opportunities to improve road safety by reinstating drivers into an emotionally balanced state. The purpose of this review is to outline the community’s combined knowledge for interested researchers, to provide a focussed introduction for practitioners, raise awareness for cultural aspects, and to identify future directions for affective interaction in the car.

A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research

Road safety research is a data-rich field with large social impacts. Like in medical research, the ambition is to build knowledge around risk factors that can save lives. Unlike medical research, road safety research generates empirical findings from messy observational datasets. Records of road crashes contain numerous intersecting categorical variables, dominating patterns that are complicated by confounding and, when conditioning on data to make inferences net of this, observed effects that are subject to uncertainty due to diminishing sample sizes. We demonstrate how visual data analysis approaches can inject rigour into exploratory analysis of such datasets. A framework is presented whereby graphics are used to expose, model and evaluate spatial patterns in observational data, as well as protect against false discovery. The framework is supported through an applied data analysis of national crash patterns recorded in STATS19, the main source of road crash information in Great Britain. Our framework moves beyond typical depictions of exploratory data analysis and helps navigate complex data analysis decision spaces typical in modern geographical analysis settings, generating data-driven outputs that support effective policy interventions and public debate.

A Brief Overview of Road Accidents and Recent Preventive Methodologies for Accident Hotspots in the United Arab Emirates

This paper highlights major causes of road accidents in the United Arab Emirates (UAE) and explores the possibility of reducing them through modern in-vehicle control technologies. Mostly, road safety data from the Global Road Safety Facility (GSRF), Road Safety Polices and Regulations for UK and UAE have been reviewed for comparison and analysis. It contains a descriptive analysis of road accident data which was taken from Ministry of Interior (MOI) - UAE website. It shows how the Pareto Principle applies to most of the road accidents in the UAE with young males’ poor driving habits and higher maximum speed limits being the major causes and, a systematic approach as per the Nilsson Power Model, to tackle these issues. It ends with the conclusion that, although high speed limits on urban roads and highways are some of the critical factors in causing dangerous road accidents but, it can be tackled with by implementing strict road safety policies and enforcing them with modern in vehicle technologies.

COMPARATIVE ANALYSIS OF ROAD TRANSPORTATION INCIDENTS IN IRKUTSK REGION AND RUSSIA

The article analyzes the indicators of road traffic accidents for 2020 in the Irkutsk region and Russia. The main reasons for the implementation of road accidents are identified. The current state of road safety has been analyzed within the framework of the Safe and High-Quality Roads Project. An excess of the actual values of social and transport risks was established by 1.19 and 1.38 times the corresponding Russian indicators

A Conceptual Framework for Road Safety Education using Serious Games with a Gesture-based Interaction Approach

Road accidents among children are one of the factors that cause mortality. An interactive manual has been developed to solve the problem. However, reports show that most road safety programs are displayed conventionally and unsuitable for almost all target users. In order to minimise the negative effect of road accidents on primary school students, early prevention programs need to be set up to overcome the problem. The natural user interface is a current technology that could be implemented in road safety education. Thus, this research aims to develop a conceptual framework by integrating gesture-based interaction and serious games towards road safety education, which will hopefully meet the road safety syllabus to tackle primary school students. All the proposed conceptual framework elements are identified through a systematic literature review and existing theories and model analysis supported by the experts’ review. This research’s main finding will be a conceptual framework of user engagement in road safety education through serious games with a gesture-based interaction technology approach. This conceptual framework would be a reference for road safety designers or developers to build an application for road safety by considering user engagement through gesture-based interaction, learning theory, and serious games at the same time.