A study on the Effects of Providing Situation Awareness Information for the Control Authority Transition of Automated Vehicle

In automated driving, the user interface plays an essential role in guiding transitions between automated and manual driving. This literature review identified 25 studies that explicitly studied the effectiveness of user interfaces in automated driving. Our main selection criterion was how the user interface (UI) affected take-over performance in higher automation levels allowing drivers to take their eyes off the road (SAE3 and SAE4). We categorized user interface (UI) factors from an automated vehicle-related information perspective. Short take-over times are consistently associated with take-over requests (TORs) initiated by the auditory modality with high urgency levels. On the other hand, take-over requests directly displayed on non-driving-related task devices and augmented reality do not affect take-over time. Additional explanations of take-over situation, surrounding and vehicle information while driving, and take-over guiding information were found to improve situational awareness. Hence, we conclude that advanced user interfaces can enhance the safety and acceptance of automated driving. Most studies showed positive effects of advanced UI, but a number of studies showed no significant benefits, and a few studies showed negative effects of advanced UI, which may be associated with information overload. The occurrence of positive and negative results of similar UI concepts in different studies highlights the need for systematic UI testing across driving conditions and driver characteristics. Our findings propose future UI studies of automated vehicle focusing on trust calibration and enhancing situation awareness in various scenarios.

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Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931218621357 ◽

2018 ◽

Vol 62 (1) ◽

pp. 1579-1583

Author(s):

Yourui Tong ◽

Bochen Jia ◽

Yi Wang ◽

Si Yang

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Real Time ◽

Situation Awareness ◽

Mental State ◽

Time Algorithm ◽

Support Vector ◽

Vehicle Design ◽

Automated Vehicle ◽

Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

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Modelling Situation Awareness Information and System Requirements for the Mission using Goal-Oriented Task Analysis Approach

Software Design and Development ◽

10.4018/978-1-4666-4301-7.ch023 ◽

2014 ◽

pp. 460-478

Author(s):

Cyril Onwubiko

Keyword(s):

Situation Awareness ◽

Task Analysis ◽

Situational Awareness ◽

Computer Network ◽

Valuable Insight ◽

Test Scenario ◽

Agent Oriented Software Engineering ◽

Awareness Information ◽

System Requirements ◽

Security Test

This chapter describes work on modelling situational awareness information and system requirements for the mission. Developing this model based on Goal-Oriented Task Analysis representation of the mission using an Agent Oriented Software Engineering methodology advances current information requirement models because it provides valuable insight on how to effectively achieve the mission’s requirements (information, systems, networks, and IT infrastructure), and offers enhanced situational awareness within the Computer Network Defence environment. Further, the modelling approach using Secure Tropos is described, and model validation using a security test scenario is discussed.

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Social Media for Disaster Awareness and Management

Advances in Environmental Engineering and Green Technologies - Environmental Awareness and the Role of Social Media ◽

10.4018/978-1-5225-5291-8.ch005 ◽

2019 ◽

pp. 82-116

Author(s):

Akhila Manne ◽

Madhu Bala Myneni

Keyword(s):

Social Media ◽

Emergency Management ◽

Crisis Management ◽

Disaster Management ◽

Situation Awareness ◽

Event Detection ◽

Classification Methods ◽

Management Tools ◽

Awareness Information ◽

Disaster Management System

Social media has redefined crisis management in the recent years. Extraction of situation awareness information from social media sites such as Twitter, Facebook, Instagram, etc. is a non-trivial task once the required framework is established. Unfortunately, most public safety authorities are still suspicious of using social media in engaging and disseminating information. This chapter reports on how social media can be effectively used in the field of emergency management along with the opportunities and challenges put forth. The chapter starts with a discussion on the functions of social media and its trustworthiness. It provides a description of the framework for disaster management system and the methodology to be adopted. The methodology consists of volunteer classification, methods of data collection, challenges faced, event detection, and data characterization with currently available disaster management tools. The chapter concludes with the division between practice and research and moves toward envisioning how social media may be used as a resource in emergency management.

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