Non-Driving Related Activities Inside an Automated Vehicle Among Malaysia Passengers

The advancement of automotive technology has led to the development of automated vehicles. The trend of passengers performing non-driving-related activities during travel was expected to continue in the future of automated vehicles. It is essential to discover the type of activities that the users prefer to improve the interior design of an automated vehicle. Past studies show that every country has different preferred non-driving related activities. The main objective of this study is to collect data on preferred non-driving related activities, specifically by Malaysians, using online questionnaires. 293 respondents answered the questionnaires in six (6) months. As a result, the top three (3) non-driving related activities in Malaysia are listening to music, calling or texting, and interacting with others. In addition, the most preferred seating position as a passenger, the most suitable travel duration to perform non-driving related activities uninterrupted, and the preferred seating configuration of the automated vehicle were also discovered. The outcome of this study will add knowledge for designing better future automated vehicles suitable for Malaysian users

Situation awareness in automated vehicles through proximal peripheral light signals

With the rise of automated vehicles, car drivers will be given the opportunity to perform other tasks or activities than controlling the vehicle. However, in a car that is not entirely automated, a human driver might need to manually take over control at some point. When such a situation occurs, awareness of the traffic situation is considered essential. In this study, we evaluate a design that aims to enable the driver of an automated car to perform a task (other than driving) while still gaining situation awareness through peripheral light signals. The results show that proximal peripheral light signals can increase the situation awareness of a driver while performing an alternative task or activity.\u3cbr/\u3

Situation awareness in automated vehicles through proximal peripheral light signals

With the rise of automated vehicles, car drivers will be given the opportunity to perform other tasks or activities than controlling the vehicle. However, in a car that is not entirely automated, a human driver might need to manually take over control at some point. When such a situation occurs, awareness of the traffic situation is considered essential. In this study, we evaluate a design that aims to enable the driver of an automated car to perform a task (other than driving) while still gaining situation awareness through peripheral light signals. The results show that proximal peripheral light signals can increase the situation awareness of a driver while performing an alternative task or activity