Advanced Sustainable Mobility: A Novel Human-Machine Interaction Approach Supporting Energy-Efficient Driving

Abstract

Growing awareness of environmental issues and the constant pressure to reduce greenhouse gas emissions have prompted the automotive industry to research and develop sustainable solutions. Battery electric vehicles (BEVs) are considered as a key element in reducing dependence on fossil fuels and minimizing driving-related emissions from road transport. While technological innovation is driving the adoption of BEVs, range in relation to driving and operating strategies remain a fundamental challenge. One solution to this challenge is the application of so-called “eco-tips” in vehicles, which enable and support optimal human-vehicle interaction and thus guide the driver towards more environmentally friendly driving and operating behavior. Therefore, modern eco-tips approaches focus on increasing energy efficiency and maximizing range by striving for an innovative, human-centered design. Moreover, contemporary vehicles feature advanced recuperation systems capable of converting kinetic energy into electrical energy, further enhancing their eco-friendly credentials. Eco-tips encompass a spectrum of recommendations, ranging from fundamental behavioral adjustments like anticipating traffic flow to sophisticated real-time suggestions leveraging technological innovations. Drivers are encouraged to refine their driving styles by adopting smoother acceleration, maintaining consistent speeds, and maximizing the use of regenerative braking mechanisms. Despite the strides made in integrating eco-friendly features into modern vehicles, there remains untapped potential for enhancing the effectiveness of eco-tips and ensuring their seamless adoption by drivers without causing distractions or compromising safety. This necessitates the exploration of innovative approaches, such as user-friendly human-computer interfaces and gamification strategies, to incentivize eco-friendly driving practices and extend the range of electric vehicles. In this context, this study undertakes a comprehensive analysis of the underlying objectives of eco-tips, delves into the rationale behind specific recommendations, evaluates the current state of their implementation across vehicle platforms, and proposes a novel approach for developing an advanced, holistic, and adaptive eco-tips system tailored to individual drivers’ preferences and driving habits. By leveraging insights from human-computer interaction research, the proposed eco-tips system aims to enhance user engagement, facilitate seamless interaction between drivers and vehicles, and contribute to the broader goal of fostering environmentally sustainable mobility solutions.

Keywords: Eco Tips, Eco Driving, Eco Support System, Human-Machine Interaction, HMI, Human-Computer Interaction, HCI, Human-Centered Design, HCD, Battery Electric Vehicle, BEV

DOI: 10.54941/ahfe1005785